From 5cf72d84199fb9a781f6294c4383af3532768751 Mon Sep 17 00:00:00 2001 From: Laith0003 <48926452+Laith0003@users.noreply.github.com> Date: Sat, 6 Jun 2026 12:19:12 +0300 Subject: [PATCH 1/3] chore(repo): untrack build artifact + drop stale dogfood dir - uxskill.egg-info/ was tracked despite *.egg-info/ already in .gitignore - dogfood-p6-2026-05-30/ was a stale one-off; the live dogfood proof lives in docs/dogfood/ and .ux/ No engine/test/site impact. First safe slice of a repo-prune review. Co-Authored-By: Claude Opus 4.8 --- dogfood-p6-2026-05-30/ours/skiphire.html | 1237 ---------------------- uxskill.egg-info/PKG-INFO | 267 ----- uxskill.egg-info/SOURCES.txt | 113 -- uxskill.egg-info/dependency_links.txt | 1 - uxskill.egg-info/entry_points.txt | 3 - uxskill.egg-info/requires.txt | 13 - uxskill.egg-info/top_level.txt | 1 - 7 files changed, 1635 deletions(-) delete mode 100644 dogfood-p6-2026-05-30/ours/skiphire.html delete mode 100644 uxskill.egg-info/PKG-INFO delete mode 100644 uxskill.egg-info/SOURCES.txt delete mode 100644 uxskill.egg-info/dependency_links.txt delete mode 100644 uxskill.egg-info/entry_points.txt delete mode 100644 uxskill.egg-info/requires.txt delete mode 100644 uxskill.egg-info/top_level.txt diff --git a/dogfood-p6-2026-05-30/ours/skiphire.html b/dogfood-p6-2026-05-30/ours/skiphire.html deleted file mode 100644 index 01b5259..0000000 --- a/dogfood-p6-2026-05-30/ours/skiphire.html +++ /dev/null @@ -1,1237 +0,0 @@ - - - - - - - -Commercial Skip Hire & Trade Waste Accounts | Instant Skip Hire - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Commercial Skip Hire &Trade Waste Accounts

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Commercial waste solutions without the middleman. We connect your business directly with trusted local skip hire companies across the UK.

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No obligation. We introduce you straight to local suppliers.

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We are matching you with local suppliers now. Expect a call shortly on the number you gave us.

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Commercial Waste Solutions Without the Middleman

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At Instant Skip Hire, we believe arranging commercial waste collection should be simple, transparent, and affordable. That’s why our service is completely free to use.

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We connect businesses directly with trusted local skip hire companies across the UK — without adding fees, commissions, or hidden mark-ups onto your skips. Unlike many comparison websites and brokers, we don’t inflate prices or sit in the middle of your account. We simply introduce customers and suppliers directly, helping you secure competitive skip hire rates faster and more efficiently.

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Whether you manage a construction site, oversee multiple commercial properties, run a retail business, or need ongoing waste management support, Instant Skip Hire helps you find reliable local suppliers quickly and easily.

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Why Businesses Choose Instant Skip Hire

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No Added Fees or Commission

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Many skip comparison websites add hidden mark-ups or take a percentage from suppliers. We don’t. Our platform simply connects customers directly with local skip hire companies, meaning you receive competitive pricing without unnecessary middlemen.

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Fast Nationwide Coverage

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We work with trusted local suppliers across the UK, helping businesses source commercial skip hire quickly, even for urgent projects and large-scale contracts.

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Dedicated Trade Support

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Commercial projects often require flexibility, quick turnaround times, and ongoing communication. We help businesses connect with suppliers who understand the demands of commercial waste management.

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Reliable Waste Management

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From small office clearances to large construction waste removal projects, our network includes suppliers equipped to handle a wide range of waste streams and skip sizes.

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Built for every kind of commercial site

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From one-off projects to ongoing contracts, our supplier network supports businesses of all sizes.

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Every skip size, matched to your project

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Depending on your project requirements, suppliers within our network can provide:

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Mini skips

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Compact loads, tight access and small clearances.

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A step up for shop refits and small fit-outs.

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Builders skips

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The site workhorse for general construction waste.

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High-volume removal for bigger commercial jobs.

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Secure, lidded skips for fly-tip-prone or public sites.

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Crushes waste on site — fewer collections, lower cost.

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Not sure which size?

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Tell us about the job and we’ll have a supplier recommend the right skip.

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Trade Accounts for Businesses & Contractors

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If your business regularly requires skips or waste collections, a trade account can help simplify the process. We introduce businesses to suppliers who can support long-term commercial waste partnerships tailored to your operational needs.

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Construction & Site Waste Management

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Construction and demolition projects generate significant amounts of waste, making reliable skip hire essential for maintaining safe, efficient sites. Our supplier network understands the importance of fast delivery, timely collections, and responsive service to keep projects moving.

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Sustainable Waste Disposal & Recycling

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Responsible waste disposal matters. Many suppliers within our network prioritise recycling and environmentally responsible waste processing wherever possible, helping businesses reduce landfill waste and improve sustainability performance. We encourage businesses to discuss recycling capabilities directly with suppliers when arranging commercial waste services.

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Skip hire suppliers, nationwide

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Instant Skip Hire helps businesses connect with local commercial skip hire suppliers throughout England, Scotland and Wales — including major cities, towns, industrial estates, and rural project locations.

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What businesses say

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“Coming together is a beginning, staying together is progress, and working together is success.”

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Henry Ford — the spirit of how we build supplier partnerships

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By introducing customers directly to suppliers instead of acting as a traditional broker, we reduce unnecessary costs, improve communication, speed up quote turnaround, and build long-term supplier relationships — with greater pricing transparency.

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“We run three active sites and used to chase brokers for every skip. Instant Skip Hire put us straight onto a local supplier and set up a trade account — same-day RoRo when we need it, one invoice, no mark-up.”
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Looking for reliable commercial waste management or trade skip hire?

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Instant Skip Hire makes it easy to connect directly with trusted local suppliers across the UK — completely free of charge and without hidden mark-ups. Get started today and compare commercial skip hire options near you.

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- - - - - - - diff --git a/uxskill.egg-info/PKG-INFO b/uxskill.egg-info/PKG-INFO deleted file mode 100644 index d44b00e..0000000 --- a/uxskill.egg-info/PKG-INFO +++ /dev/null @@ -1,267 +0,0 @@ -Metadata-Version: 2.4 -Name: uxskill -Version: 2.0.0a1 -Summary: Design intelligence engine for AI coding assistants. Anti-AI-slop linter, mandatory discovery, 5-parallel-search recommender, 75+ styles, 170+ palettes, 65+ type pairs, 72 brand specs. -Author-email: Laith Aljunaidy -License: MIT -Project-URL: Homepage, https://uxskill.laithjunaidy.com -Project-URL: Repository, https://github.com/Laith0003/ux-skill -Project-URL: Issues, https://github.com/Laith0003/ux-skill/issues -Project-URL: Documentation, https://uxskill.laithjunaidy.com -Keywords: ux,ui,design-system,ai-coding,claude-code,cursor,windsurf,linter,design,frontend,anti-ai-slop -Classifier: Development Status :: 4 - Beta -Classifier: Intended Audience :: Developers -Classifier: License :: OSI Approved :: MIT License -Classifier: Operating System :: OS Independent -Classifier: Programming Language :: Python :: 3 -Classifier: Programming Language :: Python :: 3.9 -Classifier: Programming Language :: Python :: 3.10 -Classifier: Programming Language :: Python :: 3.11 -Classifier: Programming Language :: Python :: 3.12 -Classifier: Programming Language :: Python :: 3.13 -Classifier: Topic :: Software Development :: User Interfaces -Classifier: Topic :: Software Development :: Libraries :: Python Modules -Requires-Python: >=3.9 -Description-Content-Type: text/markdown -License-File: LICENSE -Requires-Dist: click>=8.1 -Requires-Dist: rich>=13.0 -Requires-Dist: pydantic>=2.5 -Requires-Dist: tomli>=2.0; python_version < "3.11" -Provides-Extra: dev -Requires-Dist: pytest>=7.4; extra == "dev" -Requires-Dist: pytest-cov>=4.1; extra == "dev" -Requires-Dist: ruff>=0.1.9; extra == "dev" -Requires-Dist: mypy>=1.7; extra == "dev" -Requires-Dist: black>=23.12; extra == "dev" -Dynamic: license-file - -# ux — design intelligence engine for AI coding - -> **v2.0 — Python pivot.** The strongest design intelligence engine for AI coding. A Python-backed reasoning core with 11 queryable JSON manifests: **84 styles, 170+ palettes, 70 type pairs, 148 components, 170+ industries, 110+ UX laws, 57 motion presets, 35 anti-patterns, 72 brand specs**. Plus 18 slash commands and 5 sub-agents from v1. Cross-IDE — runs in **17 environments**: Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Codex, Kiro, Cline, Continue, Aider, Zed, JetBrains AI, Pieces, Tabby, Tabnine, CodeWhisperer, Roo Cline. - -**Live at [uxskill.laithjunaidy.com](https://uxskill.laithjunaidy.com)** · [GitHub repo](https://github.com/Laith0003/ux-skill) - -[![Version](https://img.shields.io/badge/version-2.0.0--alpha.1-cc785c.svg)](https://github.com/Laith0003/ux-skill/releases) -[![Python](https://img.shields.io/badge/python-3.9%2B-3776ab.svg)](https://www.python.org/downloads/) -[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) -[![IDEs](https://img.shields.io/badge/IDEs-17-181715)](#cross-ide-distribution) -[![Brands](https://img.shields.io/badge/brand_specs-72-cc785c.svg)](data/brands/_index.json) -[![Linter](https://img.shields.io/badge/anti--patterns-35-181715.svg)](data/anti-patterns.json) -[![GitHub stars](https://img.shields.io/github/stars/Laith0003/ux-skill?style=social)](https://github.com/Laith0003/ux-skill/stargazers) - ---- - -## What v2 is - -A **Python reasoning engine** that runs 5 parallel searches across structured data manifests and returns a complete recommended design system for your project — with always-on anti-AI-slop guardrails. - -You give it a brief (industry, audience, tone, must-haves, forbidden). It returns: the **style** to use, the **palette**, the **type pair**, the **motion presets**, the **components**, the **brand exemplars** to study, and the **anti-pattern rules** that must hold. The engine never asks an LLM for an opinion — it's deterministic regex + lookup over structured data. Same input always gives same output. - -Then the existing 18 Claude Code commands and 5 sub-agents consume that recommendation to generate, audit, lint, and refine actual code. - -## The numbers - -| Manifest | ux-skill v2 | UI UX Pro Max | -|---|---:|---:| -| Design styles | **84** | 67 | -| Color palettes | **170+** | 161 | -| Type pairings | **70** | 57 | -| Components | **148** | 0 | -| Industry rules | **170+** | 161 | -| Chart types | **35** | 25 | -| Tech stacks | **25** | 15 | -| UX laws | **110+** | 99 | -| Motion presets | **57** | 0 | -| Anti-pattern rules | **35** | 0 | -| Brand specs | **72** | 0 | -| **Total entries** | **~1,000+** | **~600** | - -Three categories — components, motion, anti-patterns, brand specs — they don't have at all. That's our moat. - -## Install — pick your path - -### Inside Claude Code (canonical) - -```bash -/plugin marketplace add Laith0003/ux-skill -/plugin install ux@ux-skill -``` - -### Anywhere else (pip) - -```bash -pip install uxskill -ux init # auto-detects your IDE, installs for it -``` - -### No-Python wrapper (npx) - -```bash -npx uxskill init # bootstraps Python via pipx automatically -``` - -## The flagship: `/ux-recommend` - -Inside Claude Code: - -``` -/ux-recommend -> Project type? landing -> Industry? fintech-neobank -> Tone? warm, editorial -> Must have? dark-mode, a11y-AA -> Forbidden? brutalism, purple-gradients -> Stack? nextjs-15-app-router -> Region? mena -``` - -Outside Claude Code: - -```bash -ux recommend \ - --project-type=landing \ - --industry=fintech-neobank \ - --tone=warm --tone=editorial \ - --must-have=dark-mode --must-have=a11y-AA \ - --forbidden=brutalism --forbidden=purple-gradients \ - --stack=nextjs-15-app-router \ - --region=mena -``` - -Returns a complete merged design system: picked style, picked palette, picked type pair, top 5 motion presets, top 12 components, top 5 brand exemplars to study, all 35 anti-pattern guardrails active, plus a rationale block explaining each pick. - -## Architecture - -``` -ux-skill/ -├── data/ # Queryable JSON — the brain -│ ├── styles.json # 84 design styles -│ ├── palettes.json # 170+ color palettes -│ ├── type-pairs.json # 70 font pairings -│ ├── components.json # 148 components -│ ├── industries.json # 170+ industry rules -│ ├── chart-types.json # 35 chart types -│ ├── tech-stacks.json # 25 stacks -│ ├── ux-guidelines.json # 110+ named laws -│ ├── motion-presets.json # 57 motion presets -│ ├── anti-patterns.json # 35 regex rules -│ └── brands/*.json # 72 brand specs -│ -├── engine/ # Python — the reasoning -│ ├── recommender/ # 5-parallel-search engine -│ ├── linter/ # Anti-slop linter (replaces ux-lint.sh) -│ ├── discovery/ # 10-field forcing protocol -│ ├── generator/ # Tokens + manifest emitter -│ ├── installer/ # 17-IDE multi-installer -│ └── cli/ # `ux` / `uxskill` entry -│ -├── commands/ # 18 Claude Code slash commands (.md) -├── agents/ # 5 sub-agent definitions (.md) -├── references/ # Prose source for the data + demo pages -└── bin/uxskill.mjs # npx wrapper → Python engine -``` - -**Python thinks. HTML shows. Markdown chains.** - -## The 18 commands (v1 preserved + v2 flagship) - -| Command | What it does | -|---|---| -| `/ux-recommend` | **v2 flagship**: 5-parallel-search engine → merged system | -| `/ux-design [brief]` | Generate frontend code from a recommendation | -| `/ux-audit [path]` | Run linter + LLM design review | -| `/ux-lint [path]` | Deterministic anti-slop linter (no LLM) | -| `/ux-system` | Generate a complete design system | -| `/ux-component [name]` | Generate one component | -| `/ux-dashboard` | Generate a dashboard surface | -| `/ux-motion` | Generate motion treatment | -| `/ux-copy` | Microcopy review + rewrites | -| `/ux-a11y` | Accessibility audit | -| `/ux-critique` | Pure design critique | -| `/ux-polish` | Fix-loop on existing code | -| `/ux-fix` | Apply linter findings | -| `/ux-frame` | Frame the problem before solving | -| `/ux-research` | Synthesize research inputs | -| `/ux-workshop` | Run a design workshop | -| `/ux-case-study` | Write a case study | -| `/ux-expert` | Get expert advice (consulting hook) | -| `/ux-next` | Suggest the next command | - -## The 5 sub-agents - -- `frontend-engineer` — production-grade React/Next/Vue/Blade/Astro -- `motion-engineer` — Framer Motion / GSAP / CSS with reduced-motion fallbacks -- `copy-writer` — microcopy in brand voice -- `research-synthesizer` — digests interviews/analytics/competitors into recommendations -- `design-system-architect` — tokens, components, foundations - -## The three moats - -1. **Deterministic anti-AI-slop linter** — 35 regex rules, no LLM, runs in CI. Catches: Inter as display, purple-to-blue gradients, three equal cards, "John Doe", emoji in UI, 300ms default timing, generic CTAs, dark text on dark cards, and more. Wire it into pre-commit hooks for a hard floor against AI fingerprints. - -2. **Mandatory 10-field discovery** — forcing function before any generation. The plugin asks: project type, audience, primary goal, tone, must-haves, forbidden, reference brands, stack, region, success metric. No improvisation. The brief is saved to `.ux/last-discovery.json` so subsequent commands chain. - -3. **72 real brand DESIGN.md specs** — Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, Airbnb, Vercel, Supabase, Cursor, Raycast and 59 more. Full design languages, not generic palettes. Tell the plugin "build a landing in Stripe's style" and it reads the actual brand language. Both as prose (`references/brands/*.md`) and structured JSON (`data/brands/*.json`). - -## Cross-IDE distribution - -17 environments supported via `ux init`: - -| IDE / Tool | Detection | Installed artifact | -|---|---|---| -| Claude Code | `.claude/` or `CLAUDE.md` | Plugin manifest at `.claude-plugin/plugin.json` | -| Cursor | `.cursor/` or `.cursorrules` | `.cursorrules` prompt header | -| Windsurf | `.windsurf/` or `.windsurfrules` | `.windsurfrules` | -| GitHub Copilot | `.github/copilot-instructions.md` or `.vscode/` | `.github/copilot-instructions.md` | -| Gemini CLI | `GEMINI.md` | `GEMINI.md` | -| Codex | `AGENTS.md` | `AGENTS.md` | -| Kiro | `.kiro/` | `.kiro/instructions.md` | -| Cline | `.cline/` | `.cline/instructions.md` | -| Continue | `.continue/` | `.continue/config.json` | -| Aider | `.aider.conf.yml` | `.aider.conf.yml` + `AIDER.md` | -| Zed | `.zed/` | `.zed/instructions.md` | -| JetBrains AI | `.jetbrains-ai/` or `.idea/` | `.jetbrains-ai/instructions.md` | -| Pieces | `.pieces/` | `.pieces/instructions.md` | -| Tabby | `.tabby/` | `.tabby/instructions.md` | -| Tabnine | `.tabnine/` | `.tabnine/instructions.md` | -| CodeWhisperer | `.aws-codewhisperer/` | `.aws-codewhisperer/instructions.md` | -| Roo Cline | `.roo/` | `.roo/instructions.md` | - -Same Python engine. Same recommendations. Different glue per IDE. - -## Compatibility with v1 - -v1 install still works for existing users: - -```bash -/plugin marketplace add Laith0003/ux-skill -/plugin install ux@ux-skill -``` - -v2 adds the Python layer underneath. When the Python engine is available, commands shell to it for the heavy lifting. When it's not (older installs), commands fall back to v1's prose-only behavior. No breaking changes. - -## Privacy - -The plugin runs entirely on your machine. No telemetry. No analytics. No phone-home. The deterministic linter runs pure regex over local files. LLM calls (in commands that use them) go through your own AI assistant's authentication, not the plugin's. Full privacy policy: [PRIVACY.md](PRIVACY.md) / [uxskill.laithjunaidy.com/privacy.html](https://uxskill.laithjunaidy.com/privacy.html). - -## Contributing - -See [CONTRIBUTING.md](CONTRIBUTING.md). Issues and PRs welcome. The 17 deferred anti-pattern rules and the 8 net-new component patterns flagged during v2.0 are explicit follow-ups in the issue tracker. - -## License - -MIT. Use it, fork it, build on it. If it saves you from shipping AI slop, star the repo. It's the cheapest way to support it. - -## Author - -**Laith Aljunaidy** — solo founder of [Dot](https://thedotwallet.com), a MENA-first loyalty platform. Building ux-skill so the AI-generated frontend doesn't all look the same. - -- LinkedIn: [linkedin.com/in/laithaljunaidy](https://www.linkedin.com/in/laithaljunaidy/) -- Email: laith.aljunaidy.laith@gmail.com -- Repo: [github.com/Laith0003/ux-skill](https://github.com/Laith0003/ux-skill) -- Site: [uxskill.laithjunaidy.com](https://uxskill.laithjunaidy.com) - ---- - -**v2.0.0-alpha.1** · Built so Claude Code, Cursor, and friends output frontend code that doesn't read as AI-generated. diff --git a/uxskill.egg-info/SOURCES.txt b/uxskill.egg-info/SOURCES.txt deleted file mode 100644 index a161d48..0000000 --- a/uxskill.egg-info/SOURCES.txt +++ /dev/null @@ -1,113 +0,0 @@ -LICENSE -README.md -pyproject.toml -engine/__init__.py -engine/data_loader.py -engine/integration.py -engine/../data/anti-patterns.json -engine/../data/chart-types.json -engine/../data/components.json -engine/../data/industries.json -engine/../data/motion-presets.json -engine/../data/palettes.json -engine/../data/styles.json -engine/../data/tech-stacks.json -engine/../data/type-pairs.json -engine/../data/ux-guidelines.json -engine/../data/brands/_index.json -engine/../data/brands/airbnb.json -engine/../data/brands/airtable.json -engine/../data/brands/apple.json -engine/../data/brands/binance.json -engine/../data/brands/bmw-m.json -engine/../data/brands/bmw.json -engine/../data/brands/bugatti.json -engine/../data/brands/cal.json -engine/../data/brands/claude.json -engine/../data/brands/clay.json -engine/../data/brands/clickhouse.json -engine/../data/brands/cohere.json -engine/../data/brands/coinbase.json -engine/../data/brands/composio.json -engine/../data/brands/cursor.json -engine/../data/brands/elevenlabs.json -engine/../data/brands/expo.json -engine/../data/brands/ferrari.json -engine/../data/brands/figma.json -engine/../data/brands/framer.json -engine/../data/brands/hashicorp.json -engine/../data/brands/hp.json -engine/../data/brands/ibm.json -engine/../data/brands/intercom.json -engine/../data/brands/kraken.json -engine/../data/brands/lamborghini.json -engine/../data/brands/linear.app.json -engine/../data/brands/lovable.json -engine/../data/brands/mastercard.json -engine/../data/brands/meta.json -engine/../data/brands/minimax.json -engine/../data/brands/mintlify.json -engine/../data/brands/miro.json -engine/../data/brands/mistral.ai.json -engine/../data/brands/mongodb.json -engine/../data/brands/nike.json -engine/../data/brands/notion.json -engine/../data/brands/nvidia.json -engine/../data/brands/ollama.json -engine/../data/brands/opencode.ai.json -engine/../data/brands/pinterest.json -engine/../data/brands/playstation.json -engine/../data/brands/posthog.json -engine/../data/brands/raycast.json -engine/../data/brands/renault.json -engine/../data/brands/replicate.json -engine/../data/brands/resend.json -engine/../data/brands/revolut.json -engine/../data/brands/runwayml.json -engine/../data/brands/sanity.json -engine/../data/brands/sentry.json -engine/../data/brands/shopify.json -engine/../data/brands/slack.json -engine/../data/brands/spacex.json -engine/../data/brands/spotify.json -engine/../data/brands/starbucks.json -engine/../data/brands/stripe.json -engine/../data/brands/supabase.json -engine/../data/brands/superhuman.json -engine/../data/brands/tesla.json -engine/../data/brands/theverge.json -engine/../data/brands/together.ai.json -engine/../data/brands/uber.json -engine/../data/brands/vercel.json -engine/../data/brands/vodafone.json -engine/../data/brands/voltagent.json -engine/../data/brands/warp.json -engine/../data/brands/webflow.json -engine/../data/brands/wired.json -engine/../data/brands/wise.json -engine/../data/brands/x.ai.json -engine/../data/brands/zapier.json -engine/cli/__init__.py -engine/cli/main.py -engine/discovery/__init__.py -engine/discovery/core.py -engine/generator/__init__.py -engine/generator/core.py -engine/installer/__init__.py -engine/installer/core.py -engine/linter/__init__.py -engine/linter/core.py -engine/recommender/__init__.py -engine/recommender/core.py -tests/test_data_validation.py -tests/test_generator.py -tests/test_installer.py -tests/test_linter.py -tests/test_recommender.py -tests/test_smoke.py -uxskill.egg-info/PKG-INFO -uxskill.egg-info/SOURCES.txt -uxskill.egg-info/dependency_links.txt -uxskill.egg-info/entry_points.txt -uxskill.egg-info/requires.txt -uxskill.egg-info/top_level.txt \ No newline at end of file diff --git a/uxskill.egg-info/dependency_links.txt b/uxskill.egg-info/dependency_links.txt deleted file mode 100644 index 8b13789..0000000 --- a/uxskill.egg-info/dependency_links.txt +++ /dev/null @@ -1 +0,0 @@ - diff --git a/uxskill.egg-info/entry_points.txt b/uxskill.egg-info/entry_points.txt deleted file mode 100644 index 04b1139..0000000 --- a/uxskill.egg-info/entry_points.txt +++ /dev/null @@ -1,3 +0,0 @@ -[console_scripts] -ux = engine.cli.main:cli -uxskill = engine.cli.main:cli diff --git a/uxskill.egg-info/requires.txt b/uxskill.egg-info/requires.txt deleted file mode 100644 index 6f42c38..0000000 --- a/uxskill.egg-info/requires.txt +++ /dev/null @@ -1,13 +0,0 @@ -click>=8.1 -rich>=13.0 -pydantic>=2.5 - -[:python_version < "3.11"] -tomli>=2.0 - -[dev] -pytest>=7.4 -pytest-cov>=4.1 -ruff>=0.1.9 -mypy>=1.7 -black>=23.12 diff --git a/uxskill.egg-info/top_level.txt b/uxskill.egg-info/top_level.txt deleted file mode 100644 index 45a160d..0000000 --- a/uxskill.egg-info/top_level.txt +++ /dev/null @@ -1 +0,0 @@ -engine From 63b50e1b2442b0e667d85b16eabc9d22151699cd Mon Sep 17 00:00:00 2001 From: Laith0003 <48926452+Laith0003@users.noreply.github.com> Date: Sat, 6 Jun 2026 12:32:59 +0300 Subject: [PATCH 2/3] chore(repo): remove landing/ mirror + strip docs->landing mirroring landing/ (151 files) was a drifted, undeployed mirror of the deployed docs/ site (docs/ holds the CNAME). Removed the directory and stripped the docs->landing mirror logic from 14 build scripts; docs/ output is unchanged. Tracked files 1064 -> 906. Verified: no residual landing/ dir refs; all 14 scripts compile; suite 323 green. 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-
- - - About · the project · the maker · the ethos -

About ux-skill — and the person who built it.

-

- ux-skill is an open-source design engine that lives inside your AI coding tool. It catches the design fingerprints that every LLM produces by default — purple gradients, generic SaaS cards, screenshot-trained sameness — before they ever hit your repo. This page explains what it is, why it exists, and who made it. -

- -

About the project

- -

- ux-skill is a Python design engine packaged as a CLI plugin. It's 1,243 entries across nine manifests (anti-patterns, generators, styles, components, brands, foundations, output formats, conditionals, processes), 22 slash-commands, 152 anti-slop linter rules, a 5-parallel-search recommender, and a discovery protocol that forces the model to ask before it generates. You install it once via npx uxskill@alpha init and from then on every /ux-design, /ux-component, /ux-system command in your editor knows exactly what to refuse and what to recommend. -

- -

- It exists because every AI coding tool produces the same design. Claude Code, Cursor, Windsurf, Copilot — they all reach for the same purple-to-blue gradient, the same three-column pricing card, the same SaaS hero. Those patterns aren't wrong; they're recognized. After enough of them, the work looks AI-generated regardless of who shipped it. ux-skill is a corrective layer: a forcing function for restraint, taste, and specificity that runs before code is written, not after. -

- -

- It is not a competitor to ui-ux-pro-max-skill, taste-skill, or hallmark — it is a different shape. ui-ux-pro-max-skill is a 1,243-entry recommender (the canonical pattern this project borrows from). Leonxlnx/taste-skill is a single 50KB SKILL.md with the strongest anti-slop voice in the ecosystem. hallmark is Anthropic's design system for Anthropic-flavored apps. ux-skill combines the recommender pattern with the anti-slop voice and the linter — and adds a brand spec library (160 brands), a runtime CLI, and an enforcement layer. The compare page has the scored side-by-side. -

- -

The numbers

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CountWhatWhere it lives
1,243Manifest entriesAnti-patterns, generators, styles, components, brands, foundations
22Slash commands/ux-design, /ux-component, /ux-system, /ux-audit, etc.
17IDE adaptersClaude Code, Cursor, Windsurf, Copilot, Continue, Codeium, Cline, +10
72Brand specsApple, Stripe, Linear, Vercel, Notion, Airbnb, +66 more under references/brands/
35Linter rulesCI-runnable anti-slop checks (gradient regex, font-pair lockout, +33 more)
- -

About the maker — Laith Aljunaidy

- -

- Laith is the solo founder of Dot, a MENA-first loyalty platform that gives merchants in Amman, Riyadh, Dubai, and Cairo a way to build customer relationships beyond points and discounts. Dot is the daily product — phone-first identity, no email required for customers, RTL Arabic as the primary locale, multi-tenant Laravel + Blade + Alpine + HTMX, live on a Devloops VPS at thedotwallet.com. ux-skill is the engineering exhaust: the design discipline that runs every Dot screen, packaged so other builders can install it. -

- -

- The aesthetic is Apple-clean monochrome with deep respect for restraint. Black is chrome, white is canvas, negative space is the system. The brand mark — a single colored dot — is the only chromatic accent on most surfaces; semantic colors (success / warning / danger / accent) carry meaning, not decoration. Tenants and user content bring color; the system itself stays out of the way. That philosophy is hardcoded into ux-skill's manifests: anti-patterns flag purple-to-blue gradients before they're suggested, the discovery protocol forces 10 fields of intent before generation, and the linter blocks emoji shipping in any user-facing string. -

- -

- He built ux-skill because he was tired of the AI design slop in his own Claude Code sessions. Every new landing page assignment started the same way: a hero with a gradient, a pricing card with three tiers, a feature grid with Lucide icons. The model wasn't broken — it was averaging. ux-skill is what happens when you write down what not to average to. It's not a personal style guide; it's a forcing function that asks the model to commit to a brand voice and refuse the seventeen default escape hatches before it writes a single line of HTML. -

- -
- "The old AI design tools sell speed. ux-skill sells restraint." — the only sentence on the homepage that's not a feature. -
- -

Contact

- -

No contact form — those collect spam and ghost replies. The email above is the real one. If you found a bug, file it on GitHub issues first so the fix lives in the open.

- -

Open source ethos

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    -
  • MIT license. Use it commercially, fork it, ship it inside a product, sell that product. No attribution required, no field-of-use clause, no carve-outs.
    • -
  • No telemetry. The CLI does not phone home. No usage events, no error reporting, no anonymous IDs. The only network calls are to PyPI for package install and to your local AI coding tool for the prompt itself.
    • -
  • No account. There is nothing to sign up for. npx uxskill@alpha init works on a fresh machine with no credentials.
    • -
  • No donation funnel. No Buy Me A Coffee, no GitHub Sponsors page, no Patreon. If you want to support the project, file a real bug or send a real PR.
    • -
  • No paid tier ever. ux-skill will not have a Pro plan, a hosted SaaS edition, or a premium brand pack. The whole thing is the manifest plus the CLI plus the linter — and the manifest is the thing that needs to stay open to stay honest.
    • -
- -

Acknowledgments

- -

- The recommender pattern — the idea of scoring an intent against a large catalog of brand + style + component combinations and returning a structured plan — comes from nextlevelbuilder/ui-ux-pro-max-skill. That repo set the bar for catalog depth; ux-skill borrows the shape and adds linter + brand specs + cross-IDE adapters on top. -

- -

- The anti-slop voice — the refusal-first tone of "do not reach for purple, do not center the hero, do not paginate the testimonials" — comes from Leonxlnx/taste-skill. That single SKILL.md is the strongest design-taste prompt in the ecosystem. ux-skill takes the principle and explodes it into 35 enforceable linter rules. -

- -

- The runtime — Claude Code as the host environment for an agentic design plugin — comes from Anthropic. Without the SKILL.md format, the slash-command surface, and the agent-loop primitives, this project does not exist. -

- -

- And to every solo founder who has ever opened a fresh Claude Code session at 1am and shipped a feature with a purple-to-blue gradient because that was what the model wrote first — this skill is for you. Stop averaging. -

-
-
- - - - - - - - diff --git a/landing/anti-patterns.html b/landing/anti-patterns.html deleted file mode 100644 index 36e1ac8..0000000 --- a/landing/anti-patterns.html +++ /dev/null @@ -1,3425 +0,0 @@ - - - - - - - - -152 anti-pattern rules — the ux-skill linter catalogue - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-
-

Linter catalogue · v3.0.0

-

145 fingerprints of AI design slop.

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- Every rule in data/anti-patterns.json, browseable. Run the linter (uxskill lint) and it scans your HTML/CSS/JS for these regex patterns in <50 ms — no LLM, no API call, no telemetry. Each rule names the fingerprint, explains why it's slop, and tells the AI session what to ship instead. -

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- 145 rules total - 50 high severity - 63 medium - 26 low - 9 categories -
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- #anchor-no-href-as-button - HIGH - A11y -

Anchor styled as button without href

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-

-
Why bad

An <a class="btn"> without href is not focusable, not in the tab order, and not announced as a link - looks like a button but behaves like nothing.

-
Fix

Use <button> for actions, <a href="..."> for navigation. If the destination is unknown until runtime, render a button or set href="#" with preventDefault.

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<a[^>]+class=['"][^'"]*btn[^'"]*['"](?![^>]+href)
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- #aria-live-polite-on-error - HIGH - A11y -

aria-live='polite' on a critical error region

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Why bad

aria-live='polite' on an error region tells screen readers to wait until the user is idle before announcing - the user submits a broken form, walks away to next field, and the failure announcement may be delayed or skipped entirely. Critical errors that block the flow need to interrupt.

-
Fix

Use aria-live='assertive' (or role='alert', which implies assertive) for blocking validation errors and destructive-action failures. Reserve aria-live='polite' for non-critical status text (saved, syncing, last updated).

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(?:className|class)\s*=\s*['"][^'"]*\b(?:error|danger|alert-danger|toast-error|notification-error)\b[^'"]*['"][^>]*\baria-live\s*=\s*['"]polite['"]|\baria-live\s*=\s*['&quo
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- link -
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- #cursor-not-allowed-no-visual - HIGH - A11y -

cursor: not-allowed with no visible disabled state

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Why bad

cursor: not-allowed in a rule that has no opacity reduction, no muted color, no border tweak, and no pointer-events: none signals the disabled state was set by an AI that knew the cursor convention but never designed the actual visual. The button still looks fully active, screen reader users hear no announcement, and touch users see no change at all - the not-allowed cursor never appears.

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Fix

A disabled control needs three signals: visual (opacity 0.5 + maybe muted color or removed border), behavioral (pointer-events: none, or aria-disabled='true' + handle the click), and announcement (aria-disabled on non-button elements; the disabled attribute on actual buttons does both). The cursor is the smallest of these three - never the only one.

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\{[^}]*cursor\s*:\s*not-allowed\s*;(?:(?!opacity|pointer-events|filter|background|color|border|disabled)[^}])*\}
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- #generic-alt-image-photo-icon - HIGH - A11y -

Generic alt text: image / photo / picture / icon

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Why bad

alt='image' or alt='photo' tells the screen reader nothing the user did not already know from the tag name - it is technically present but functionally absent. WCAG 1.1.1 demands meaningful equivalents, not the word 'image'.

-
Fix

Describe what the image conveys: 'Stripe Dashboard with revenue chart', 'team standing in front of the office'. For purely decorative images, use alt='' so the screen reader skips them.

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<img[^>]*\balt\s*=\s*['\"](?:image|photo|picture|icon|graphic|illustration|pic|img)['\"]
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- #generic-alt-untitled-screenshot-logo-banner - HIGH - A11y -

Generic alt text: untitled / screenshot / logo / banner

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Why bad

alt='untitled' / 'screenshot' / 'logo' / 'banner' is the CMS/Webflow/SaaS default fingerprint - signals the alt field was never filled in and the default leaked through. Screen reader users hear the same word for every image on the page.

-
Fix

Name the subject: alt='ux-skill logo', alt='Stripe pricing page screenshot from Mar 2026', alt='hero banner: model writes the code, designer sets the rules'. Specific enough that someone could find the image from the alt alone.

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<img[^>]*\balt\s*=\s*['\"](?:untitled|screenshot|logo|banner|hero|placeholder|asset|file|upload|attachment)['\"]
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- #hover-only-card-actions - HIGH - A11y -

Card actions revealed only on hover

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Why bad

Card actions hidden at opacity: 0 and revealed only on :hover are invisible to touch users, keyboard users, and anyone using assistive tech - the action does not exist for most of your audience. WCAG 2.1.1 and 1.4.13 failure.

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Fix

Show card actions persistently at reduced visual weight (lower opacity, smaller scale, secondary color), or make them reachable via a visible focus-state. Hover is a progressive disclosure, never the only path.

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\.(?:card|item|tile)[^{]*\{[^}]*\}[\s\S]{0,300}?\.(?:card|item|tile)[^:]*:hover\s+(?:\.[^{\s]+|[a-z]+)[^{]*\{[^}]*opacity\s*:\s*1|opacity\s*:\s*0[^}]*\}[\s\S]{0,300}?:hover[\s\S]{0,100}?opacity\s*:\s*1
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- #iframe-without-title - HIGH - A11y -

<iframe> missing title attribute

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Why bad

An <iframe> with no title is announced to screen readers as 'frame' with no description of what it contains - blank, unactionable. WCAG 2.4.1 (Bypass Blocks) and 4.1.2 (Name, Role, Value) fail. Every embedded video, payment widget, map, or ad triggers this.

-
Fix

Always set title='Stripe payment form' / 'YouTube video: product tour' / 'Google Maps: office location'. The title should describe the frame's purpose, not just say 'iframe' or 'embed'.

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<iframe(?![^>]*\btitle\s*=)[^>]*>
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- link -
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- #img-no-alt - HIGH - A11y -

Image missing alt attribute

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Why bad

Missing alt breaks screen readers, SEO image indexing, and the broken-image fallback all at once - WCAG 1.1.1 failure.

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Fix

Every <img> gets alt. Decorative images get alt="" (empty). Informative images get a description a screen reader user would need.

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<img(?![^>]*\balt=)[^>]*/?>
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- #inline-svg-no-aria - HIGH - A11y -

SVG without aria-label or aria-hidden

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Why bad

SVG with no aria-label and no aria-hidden is announced by screen readers as 'graphic' with no context - failure of WCAG 1.1.1.

-
Fix

Decorative SVG gets aria-hidden="true". Informative SVG gets aria-label="description" or aria-labelledby pointing to a title element.

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<svg(?![^>]*\baria-label=)(?![^>]*\baria-labelledby=)(?![^>]*\baria-hidden=)(?![^>]*\brole="presentation")[^>]*>
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- #lang-attribute-missing - HIGH - A11y -

<html> without lang attribute

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Why bad

<html> without a lang attribute leaves screen readers guessing which pronunciation engine to use - Arabic content gets read in English phonemes, English headings get read with Spanish stress patterns, and automatic translation breaks. WCAG 3.1.1 Level A failure.

-
Fix

Add lang="en" (or your primary locale) to <html>. For multilingual pages, override per-section with lang="ar" on RTL blocks. Pair with dir="rtl" for Arabic/Hebrew layouts.

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<html(?![^>]*\blang\s*=)[^>]*>[\s\S]{0,800}?<head\b
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- #meta-refresh-redirect - HIGH - A11y -

<meta http-equiv='refresh'> redirect

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-

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Why bad

<meta http-equiv='refresh'> auto-redirects without user consent, breaks back-button navigation, disorients screen reader users, and is a documented WCAG 2.2.1 (Timing Adjustable) and 3.2.5 (Change on Request) fail. Google also down-ranks pages that use it for redirects.

-
Fix

For a true redirect, do it server-side (301 / 302). For client-side route changes, use the router's navigate() method tied to a user action. Never use meta-refresh for the 'you'll be redirected in 5 seconds' pattern - use an inline link the user clicks.

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<meta[^>]+http-equiv\s*=\s*['"]refresh['"][^>]*>
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- #overflow-hidden-on-html - HIGH - A11y -

overflow: hidden applied to <html>

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Why bad

overflow: hidden on the root <html> element breaks browser scroll restoration on back-navigation, disables 'skip to content' anchor scrolling for screen-reader users, kills smooth-scroll APIs, and prevents the URL bar from collapsing on mobile. It is almost always a hack to suppress a horizontal-overflow bug that should be fixed at the source.

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Fix

Find the actual overflowing child (often a 100vw image, fixed-position element, or oversized inline-block) and constrain it. If you genuinely need a scroll-lock for a modal, toggle the class on <body> via JS for the lifetime of the modal - never permanently on <html>.

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(?:^|[\s,}>+~])html\s*\{[^}]*overflow(?:-[xy])?\s*:\s*hidden
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- #placeholder-as-label - HIGH - A11y -

Input placeholder used as the only label

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Why bad

Placeholders disappear on focus, sit at low contrast by default, and are not announced consistently by assistive tech - using one as the only label fails WCAG 3.3.2.

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Fix

Always pair <input> with a <label for="id"> or aria-label. Placeholder is for an optional hint, never the field name.

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<input(?![^>]*\baria-label=)(?![^>]*\baria-labelledby=)[^>]+placeholder=
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- #role-button-on-anchor-without-href - HIGH - A11y -

<a role='button'> with no href

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Why bad

<a role='button'> with no href is the worst of both worlds - the link semantics are overridden, the element is not focusable (no href = not in tab order), and the WAI-ARIA promise of 'this behaves like a button' is silently broken. WCAG 4.1.2 fail.

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Fix

Just use <button type='button'>. If the design demands link-text styling, give the <button> the same classes as your text-link recipe. Never patch a semantically wrong anchor with role='button' - replace it.

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<a(?![^>]*\bhref=)[^>]*\brole\s*=\s*['"]button['"][^>]*>
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- #select-without-label - HIGH - A11y -

<select> with no associated <label> or aria-label

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-

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Why bad

A <select> with no id (so <label for=> cannot reach it), no aria-label, and no aria-labelledby is announced to screen readers as just 'combobox, 1 of 3' with no clue what it controls. WCAG 1.3.1 / 4.1.2 fail.

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Fix

Either give the <select> an id and reference it from <label for='...'>, or set aria-label='Country' / aria-labelledby='country-heading'. Don't rely on a placeholder option ('Select a country...') as the label - placeholder options are not labels.

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<select(?![^>]*\baria-label=)(?![^>]*\baria-labelledby=)(?![^>]*\bid=)[^>]*>
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- #tabindex-positive - HIGH - A11y -

Positive tabindex value

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-
-

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Why bad

tabindex='1' (or any positive value) pulls the element out of source order and into a synthetic tab sequence, so the keyboard tab order no longer matches the visual or DOM order. Any new element added to the page disrupts the explicit numbering - WCAG 2.4.3 (Focus Order) fail and an ongoing maintenance trap.

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Fix

Use tabindex='0' to make a non-interactive element focusable, tabindex='-1' to remove a focusable element from the tab order (still programmatically focusable). Source order should match tab order; fix layout with CSS, not synthetic tabindex.

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\btabindex\s*=\s*['"][1-9][0-9]*['"]
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- #target-blank-no-noopener - HIGH - A11y -

target="_blank" without rel="noopener noreferrer"

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Why bad

target="_blank" without rel="noopener" lets the opened page access window.opener and rewrite the source URL - a tabnabbing vector. It also blocks the browser's tab-recycle optimization. A11y-adjacent because hijacked navigation breaks the user's mental model of where they are.

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Fix

Always pair target="_blank" with rel="noopener noreferrer". Better: ask whether the link actually needs a new tab - in-page navigation respects user choice and back-button history.

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<a[^>]+target\s*=\s*['"]_blank['"](?![^>]+rel\s*=\s*['"][^'"]*(?:noopener|noreferrer))
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- #tooltip-on-required-info - HIGH - A11y -

Load-bearing copy hidden in a title attribute

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Why bad

A title attribute carrying 60+ characters of real content is hover-only - invisible on touch, inconsistently announced by screen readers, undiscoverable on keyboard. The information is effectively missing for most users.

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Fix

Move the content into the visible flow or into an aria-describedby popover that is reachable by keyboard and touch. Reserve title for one-line, optional clarifications.

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title=\"[A-Z][^\"]{60,}\"
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- #video-without-captions - HIGH - A11y -

<video> element without <track kind='captions'>

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Why bad

A <video> with no captions <track> is inaccessible to Deaf and hard-of-hearing users, fails WCAG 1.2.2 (Captions, Prerecorded) at AA, and is unusable in any sound-off context (open-plan office, public transport, autoplay-muted social feeds).

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Fix

Provide at least one <track kind='captions' src='cap.vtt' srclang='en' label='English' default> child for every <video>. Subtitles (kind='subtitles') translate dialog but skip sound effects; captions include both - WCAG asks for captions, not subtitles.

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<video\b(?![^>]*>(?:(?!</video>)[\s\S])*<track[^>]+\bkind\s*=\s*['"]captions['"])[^>]*>
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- #chrome-y-multi-stop-gradient - HIGH - Color -

Chrome-y multi-stop gradient

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Why bad

Three-plus color stops in a linear-gradient is the v0 / Cursor / generic-AI default; reads as chrome-y template output rather than a deliberate brand decision.

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Fix

Use a two-stop gradient (or a single solid) with hue spread under 60 degrees. If depth is needed, layer a low-opacity overlay instead of stacking stops.

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linear-gradient\([^)]+,[^)]+,[^)]+,[^)]+,
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- #dark-text-on-dark-card - HIGH - Color -

Low-contrast text on card

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Why bad

Dark text token (zinc-500/600/700) on a dark surface fails WCAG AA 4.5:1 contrast and signals the dark mode pairing was never tested.

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Fix

Test contrast on both themes. On dark surfaces use text-zinc-100 to text-zinc-300; reserve 500-700 for tertiary captions on light surfaces.

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(?:bg-zinc-(?:[89]00|950)|bg-slate-(?:[89]00|950)|bg-gray-(?:[89]00|950)|bg-black|background:\s*#0[0-9a-f]{5})[^"';]*(?:text-zinc-(?:[5-7]00)|text-slate-(?:[5-7]00)|text-gray-(?:[5-7]00)|color:\s*#[4-6][0-9a-f]{5})
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- #gradient-on-text-rainbow - HIGH - Color -

Rainbow gradient on display text

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Why bad

background-clip: text on a multi-stop linear-gradient is the AI hero's chrome-y rainbow word - the loudest signal that no taste decision was made on color.

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Fix

Use one solid color on display text. If gradient text is essential, two stops in analogous hues at modest saturation, never three-plus rainbow stops.

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background-clip\s*:\s*text[^;]*;\s*background[^;]*linear-gradient
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- #purple-to-blue-gradient - HIGH - Color -

Default purple-to-blue AI gradient

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Why bad

Purple-to-blue gradient on white is the strongest visual fingerprint of unconstrained model output and reads as template-marketplace AI slop.

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Fix

Use a single restrained accent (Emerald, Electric Blue, Deep Rose, Amber) against neutrals; keep gradient hue spread under 60 degrees if used at all.

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bg-gradient-to-[a-z]+\s+from-(purple|violet|fuchsia|indigo)-(400|500|600)\s+(?:via-[a-z]+-[0-9]+\s+)?to-(blue|sky|cyan)-(400|500|600)|linear-gradient\([^)]*#(7c3aed|8b5cf6|a855f7|6366f1)[^)]*#(3b82f6|2563eb|0ea5e9)[^)]*\)
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- #cta-text-read-more - HIGH - Content -

Generic CTA text: Read more / View more / See more

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Why bad

'Read more' / 'View more' / 'See more' tells the user nothing about the destination and fails screen-reader scan-by-link mode (where users hear only link text). Every card on the page reads the same.

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Fix

Make link text describe the destination: 'Read the launch post', 'See all 145 rules', 'View the changelog'. The link should make sense out of context.

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<(?:a|button)[^>]*>\s*(?:Read\s+more|View\s+more|See\s+more|Find\s+out\s+more|More\s+info|Discover\s+more)\s*</(?:a|button)>
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- #emoji-in-ui - HIGH - Content -

Emoji used as UI element

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Why bad

Emojis render inconsistently across platforms, ignore brand color, and signal informality where SVG icons signal craft.

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Fix

Inline SVG from Lucide, Feather, Phosphor, or Heroicons at 1.5-2px stroke with currentColor. Whitelist U+2713 check and U+2318 command only.

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<(?:button|a|h[1-6]|span|div|p|li)[^>]*>[^<]*(?:[\U0001F300-\U0001F9FF]|[\U0001F600-\U0001F64F]|[\U0001F680-\U0001F6FF]|[\u2600-\u26FF]|[\u2700-\u27BF])
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- #filler-marketing-verbs - HIGH - Content -

Filler marketing verb in headline

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Why bad

Elevate, Seamless, Unleash, Revolutionize, Empower, Supercharge, Transform - the unmistakable fingerprint of unedited marketing copy generated without a real product in mind.

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Fix

Name the specific action and the specific outcome. Cut the verb if it isn't carrying weight. The reader knows what the product does only if you say what the product does.

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<h[1-3][^>]*>[^<]*(?:Elevate|Seamless|Unleash|Revolutionize|Empower|Supercharge|Transform)[^<]*<
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- #generic-cta-text - HIGH - Content -

Generic CTA text (Click here, Learn more)

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Why bad

Click here / Learn more / Get started reveals nothing about the destination and fails screen-reader scan-by-link - users hear a list of identical labels with no context.

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Fix

Name the specific action: Read pricing, Start free trial, View dashboard, Open API docs. The link text should make sense out of context.

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<(?:a|button)[^>]*>\s*(?:Click here|Learn more|Get started)\s*</(?:a|button)>
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- #icon-emoji-stamp - HIGH - Content -

Emoji used as icon stamp

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Why bad

Emoji where an SVG icon belongs breaks brand color, scales poorly, and renders differently on every OS.

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Fix

Inline SVG icon with currentColor and a consistent stroke width across the surface.

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class="[^"]*(?:icon|stamp|badge|achievement|reward)[^"]*"[^>]*>\s*(?:[\U0001F300-\U0001F9FF]|[\u2600-\u27BF]|[\U0001F600-\U0001F6FF])
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- #lorem-ipsum-leak - HIGH - Content -

Lorem ipsum in shipping code

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-
Why bad

Lorem ipsum in production source code is unshipped placeholder content - the most obvious draft-state leak.

-
Fix

Write real copy that makes a specific claim about the product. If you can't write it yet, mark the block with TODO and a content owner.

- 
\b(?:Lorem\s+ipsum|lorem\s+ipsum\s+dolor|consectetur\s+adipiscing|sed\s+do\s+eiusmod)\b
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- - -
- link -
- - -
-
- #picsum-photos-seed - HIGH - Content -

picsum.photos lorem-picsum placeholder

-
-
-

-
Why bad

picsum.photos serves random rotating Lorem Picsum stock images - the design never settles, and the same hero photo on a Stripe-like landing page is an instant tell that the visuals were never chosen.

-
Fix

Commission, license, or generate the real image. If you need a stable placeholder, generate one once and self-host it under /assets so it stops drifting between deploys.

- 
\b(?:https?:)?//picsum\.photos/
-
- - -
- link -
- - -
-
- #placeholder-as-pricing - HIGH - Content -

Default AI pricing tier amounts

-
-
-

-
Why bad

$9 / $19 / $29 / $49 / $99 / $199 are the prices AI reaches for when no real pricing exists - unconvincing placeholders that signal nobody priced the product.

-
Fix

Use the real price you charge, with the real currency and the real billing cadence. If pricing isn't set yet, mark the tier as TBD with an owner, not a placeholder.

- 
\$(?:9|19|29|49|99|199)/(?:mo|month)
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- - -
- link -
- - -
-
- #placeholder-com-direct - HIGH - Content -

placeholder.com direct placeholder

-
-
-

-
Why bad

placeholder.com URLs ship the gray box with the dimensions printed inside - the universal 'I forgot to swap in real art' tell. Generators emit these whenever they don't know what image to use.

-
Fix

Replace with a real asset under /assets, /og, or your image CDN. For dev-only scaffolds, use a local 1x1 transparent PNG or an inline SVG empty state with a real label.

- 
\b(?:https?:)?//(?:www\.)?placeholder\.com/
-
- - -
- link -
- - -
-
- #placeholder-via-com - HIGH - Content -

via.placeholder.com placeholder image

-
-
-

-
Why bad

via.placeholder.com is the default stock placeholder URL that AI generators reach for - signals the design got shipped with the scaffolding still in place. Immediate trust kill on a landing page.

-
Fix

Use real artwork, real product screenshots, or a domain-specific empty-state SVG. If you genuinely need a placeholder for a demo, generate it locally and serve it from your own static path.

- 
\b(?:https?:)?//via\.placeholder\.com/
-
- - -
- link -
- - -
-
- #placekitten-com - HIGH - Content -

placekitten.com kitten placeholder

-
-
-

-
Why bad

placekitten.com is the joke-placeholder service - shipping it to production says nobody reviewed the page before deploy. The kitten is funny in the design doc and devastating on the live landing page.

-
Fix

Replace every kitten URL with the real asset for that surface. If the page truly needs a stand-in, use a brand-aware blank state with copy explaining what should be there.

- 
\b(?:https?:)?//(?:www\.)?placekitten\.com/
-
- - -
- link -
- - -
-
- #testimonial-fake-five-stars - HIGH - Content -

Hardcoded five-star testimonial

-
-
-

-
Why bad

Five hardcoded stars next to a fake quote is the lowest-trust pattern on the web; users have learned to discount it on sight.

-
Fix

Show real, named, attributable testimonials with company affiliation and a specific outcome. No star count unless aggregated from a real review system.

- 
(?:\u2605{5}|★{5}|⭐{5}|\*{5})|<(?:span|div|p)[^>]*class="[^"]*stars?[^"]*"[^>]*>\s*(?:\u2605|★){4,}
-
- - -
- link -
- - -
-
- #unsplash-photo-id-no-alt - HIGH - Content -

Unsplash photo URL with empty or missing alt

-
-
-

-
Why bad

An images.unsplash.com/photo-* URL with no alt (or alt="") is the stock-photo placeholder fingerprint - signals the generator pasted the first credible image without choosing it for the content. Screen-reader users hear nothing; the page reads as filler.

-
Fix

Replace with a real product or brand image and write an alt that describes the content (alt="Customer service team reviewing a dashboard"). If the image stays as decoration only, set alt="" deliberately AND justify why a stock photo earns a spot on the surface.

- 
<img[^>]+src\s*=\s*['"][^'"]*images\.unsplash\.com/photo-[^'"]+['"](?![^>]+alt\s*=\s*['"][^'"]+['"])
-
- - -
- link -
- - -
-
- #h-screen-no-dvh-fallback - HIGH - Layout -

100vh without 100dvh fallback for mobile

-
-
-

-
Why bad

100vh on mobile includes the browser chrome that retracts on scroll, so the layout jumps as the address bar collapses - dynamic viewport units (dvh) fix this.

-
Fix

Use height: 100dvh or h-[100dvh] as the primary, with h-screen / 100vh as the legacy fallback for browsers that lack dvh.

- 
(?:height\s*:\s*100vh|class=[^>]*h-screen)(?![^}]*100dvh)
-
- - -
- link -
- - -
-
- #three-equal-card-grid - HIGH - Layout -

Three equal cards in a row

-
-
-

-
Why bad

Three equal cards with three icons and three short paragraphs is the safest default the generator reaches for and the strongest layout fingerprint in AI-generated marketing surfaces.

-
Fix

Use asymmetric layouts: bento grids, 2-and-1 splits, 4 with one spanning width. Vary card size by content priority.

- 
(?:grid-cols-3|grid-template-columns:\s*repeat\(\s*3\s*,\s*(?:1fr|minmax))[^>]*>(?:\s*<[^/][^>]*class="[^"]*(?:card|feature)[^"]*"[^>]*>[\s\S]*?</[^>]+>\s*){3}
-
- - -
- link -
- - -
-
- #animating-layout-properties - HIGH - Motion -

Transition on a layout property

-
-
-

-
Why bad

Animating width, height, top, left, margin, padding triggers layout and paint on every frame - the dropped-frame jank pattern that makes the UI feel cheap.

-
Fix

Animate transform (translate, scale) and opacity only. Use scale instead of width, translate instead of top/left. The compositor thanks you.

- 
transition[^;]*:\s*[^;]*(?:width|height|top|left|margin|padding)[^;]*;
-
- - -
- link -
- - -
-
- #autoplay-without-muted - HIGH - Motion -

<video autoplay> without muted attribute

-
-
-

-
Why bad

Browsers (Chrome, Safari, Firefox, Edge) block autoplay on any <video> that isn't muted - the video silently fails to play and the layout shifts when the user manually starts it. Also a sound-blast hazard if it ever does autoplay in an older client.

-
Fix

If you want hero video to autoplay, add muted (and usually playsinline, loop, preload='auto'). If you genuinely need audio, drop autoplay and require an explicit user gesture.

- 
<video(?![^>]*\bmuted\b)[^>]*\bautoplay\b[^>]*>
-
- - -
- link -
- - -
-
- #marquee-tag - HIGH - Motion -

<marquee> element used

-
-
-

-
Why bad

<marquee> is deprecated, has no prefers-reduced-motion support, scrolls continuously regardless of user motion preferences, and causes nausea/dizziness for users with vestibular disorders. WCAG 2.2.2 (Pause, Stop, Hide) fail and a strong AI-shortcut signal.

-
Fix

Use CSS animation with prefers-reduced-motion: reduce { animation: none } as a respect-the-user fallback. For ticker/news content prefer a paginated carousel with explicit prev/next controls.

- 
<marquee\b
-
- - -
- link -
- - -
-
- #img-no-dimensions - HIGH - Performance -

Image without width and height attributes

-
-
-

-
Why bad

An <img> without width and height attributes causes Cumulative Layout Shift as the image loads and the page reflows - the single biggest CLS regression on most sites.

-
Fix

Always set width and height (the intrinsic pixel dimensions) on every <img>, even when styled with CSS. The browser uses them to reserve space.

- 
<img(?![^>]+\bwidth=)[^>]+>
-
- - -
- link -
- - -
-
- #console-log-leak - HIGH - Quality -

console.log in component code

-
-
-

-
Why bad

console.log shipped to production leaks state to anyone with DevTools open and signals the build didn't go through a real review.

-
Fix

Remove debug logs before shipping. If you need structured logging, use a logger module that's tree-shaken out of production builds.

- 
console\.(?:log|warn|debug|info)\s*\(
-
- - -
- link -
- - -
-
- #font-weight-numeric-100-or-900-on-body - HIGH - Typography -

Body or paragraph font-weight set to 100 or 900

-
-
-

-
Why bad

Setting body or paragraph font-weight to 100 (Thin) makes long-form reading nearly impossible at any size below 24px - the strokes literally disappear on most displays. 900 (Black) is the opposite failure: every paragraph reads as shouting and tires the eye after one screen. Both extremes signal nobody actually read the text in situ.

-
Fix

Body weight should be 400 (Regular) or 450-500 for a slightly stronger feel. Reserve 100/200 (Thin/ExtraLight) for large hero display type only, and 800/900 (ExtraBold/Black) for short callouts or numerals - never paragraphs.

- 
(?:^|[\s,}>+~])(?:body|p|li|main|article|\.(?:body|prose|text|content))[^{}]*\{[^}]*font-weight\s*:\s*(?:100|900)\s*[;}]
-
- - -
- link -
- - -
-
- #inter-as-display - HIGH - Typography -

Inter used as display font

-
-
-

-
Why bad

Inter is a body font tuned for screen legibility at small sizes; deployed as display it reads as the default startup-landing fingerprint.

-
Fix

Pair Inter (body) with a distinctive display face: Geist, Satoshi, Cabinet Grotesk, General Sans, Outfit, or a brand-specific variable sans.

- 
font-family:\s*['"]?Inter['"]?[^;}]*[;}][^{]*(?:font-size:\s*([4-9]\d|\d{3,})px|\btext-(5xl|6xl|7xl|8xl|9xl)\b)
-
- - -
- link -
- - -
-
- #emoji-bullet-marker - HIGH - Visual -

Emoji at start of list item

-
-
-

-
Why bad

An emoji at the start of every list item is the AI signature - check marks, sparkles, rockets, party poppers used as bullet markers signal a generator that confused decoration with hierarchy.

-
Fix

Use the native list disc, an SVG check icon, or a numeric counter. Reserve the U+2713 check and U+2318 command as allowed dingbats.

- 
<li[^>]*>\s*[\U0001F300-\U0001F9FF\u2600-\u2712\u2714-\u27BF]
-
- - -
- link -
- - -
-
- #lone-emoji-as-icon - HIGH - Visual -

Lone emoji used as functional icon

-
-
-

-
Why bad

A bare emoji standing in for an icon renders inconsistently across platforms, ignores brand color, and is announced unpredictably by screen readers.

-
Fix

Use inline SVG (Lucide, Feather, Phosphor, Heroicons) at 1.5-2px stroke with currentColor. Add aria-label when the icon carries meaning.

- 
>[\u2700-\u27BF\U0001F300-\U0001F9FF](?:</)
-
- - -
- link -
- - -
-
- #aria-busy-without-aria-live - MED - A11y -

aria-busy='true' with no aria-live companion

-
-
-

-
Why bad

aria-busy='true' tells assistive tech to suspend updates inside a region, but without an aria-live region around it the eventual content swap is never announced - the user is left in silence after the spinner disappears.

-
Fix

Pair aria-busy='true' with aria-live='polite' (or role='status') on the same node or a parent region, so the post-load content is announced once aria-busy flips back to false.

- 
<[^>]+\baria-busy\s*=\s*['"]true['"](?![^>]*\baria-live=)[^>]*>
-
- - -
- link -
- - -
-
- #button-no-type - MED - A11y -

Button missing type attribute

-
-
-

-
Why bad

A <button> inside a <form> without type="button" defaults to type="submit" and silently submits the form on every click.

-
Fix

Always set type="button" or type="submit" explicitly. The default is a footgun, not a feature.

- 
<button(?![^>]*\btype=)[^>]*>
-
- - -
- link -
- - -
-
- #cursor-pointer-non-interactive - MED - A11y -

cursor:pointer on non-interactive element

-
-
-

-
Why bad

A <div> or <span> with cursor: pointer promises clickable behavior to sighted mouse users while keyboard and screen-reader users get nothing - a hidden interaction.

-
Fix

If it clicks, make it a <button> or <a href>. If you keep the <div>, add role and tabindex and a keydown handler - the cursor change is the smallest signal a real control owes.

- 
<(?:div|span)[^>]+(?:class=[^>]+cursor-pointer|style=[^>]+cursor\s*:\s*pointer)
-
- - -
- link -
- - -
-
- #fieldset-without-legend - MED - A11y -

<fieldset> missing a <legend> child

-
-
-

-
Why bad

<fieldset> without a <legend> gives the grouped controls a semantic container but no group name - screen readers announce each control without the shared context (e.g. 'shipping address - street' becomes just 'street'). The dev got halfway to the WCAG 1.3.1 grouping pattern then stopped.

-
Fix

First child of every <fieldset> is <legend>Group label</legend>. Visually hide the legend with .sr-only if the design doesn't show a heading, but never omit it.

- 
<fieldset[^>]*>\s*(?!<legend\b)
-
- - -
- link -
- - -
-
- #generic-alt-decorative-not-empty - MED - A11y -

alt='decorative' instead of empty alt

-
-
-

-
Why bad

alt='decorative' announces the literal word 'decorative' to a screen reader user - the opposite of what was intended. The correct way to mark a decorative image is alt='' (empty string).

-
Fix

Use alt='' (empty quotes) for purely presentational images so the screen reader skips them. If the image conveys any meaning at all, give it a real description instead.

- 
<img[^>]*\balt\s*=\s*['\"](?:decorative|decoration|spacer|divider|ornament)['\"]
-
- - -
- link -
- - -
-
- #heading-skip-h1-h3 - MED - A11y -

Skipped heading level

-
-
-

-
Why bad

Heading hierarchy gaps (h1 then h3, or h3 with no h1/h2 preceding) break the screen-reader landmark tree and the SEO outline.

-
Fix

h1 once per page; nest h2/h3/h4 in order. If you need a small visual heading without a logical level, use a styled <p> instead.

- 
<h1[^>]*>[\s\S]*?</h1>[\s\S]*?<h3[^>]*>(?![\s\S]*?<h2)|<h2[^>]*>[\s\S]*?</h2>[\s\S]*?<h4[^>]*>(?![\s\S]*?<h3)|<h3[^>]*>(?:(?!<h[12]).)*?</h3>
-
- - -
- link -
- - -
-
- #infinite-scroll-no-pagination - MED - A11y -

Infinite scroll without keyboard fallback

-
-
-

-
Why bad

Pure infinite scroll with no Load more button locks out keyboard users and breaks back-button history - WCAG 2.4 failure plus a usability one.

-
Fix

Ship infinite scroll AND a visible Load more button. The button is the keyboard path; the observer is the convenience layer.

- 
(?:IntersectionObserver|useInfiniteScroll|InfiniteScroll|on(?:Scroll|EndReached))[\s\S]{0,500}?(?:loadMore|fetchMore|loadNext)(?![\s\S]{0,800}?<button[^>]*>(?:Load|Show|More))
-
- - -
- link -
- - -
-
- #inline-style-display-none-no-aria - MED - A11y -

Interactive element hidden via inline display:none without aria-hidden

-
-
-

-
Why bad

An interactive element with style='display:none' is removed from the visual flow but its DOM node and event handlers remain. Without aria-hidden='true' some screen readers still expose it to virtual cursors, and JS event delegation can still fire clicks on it - inconsistent state across users.

-
Fix

Toggle visibility with a class (.is-hidden { display:none }) and conditionally render via the framework (v-if / x-if / @if) for true removal. If you must use inline display:none on an interactive element, also set aria-hidden='true' AND tabindex='-1'.

- 
<(?:button|a|input|select|textarea)(?![^>]*\baria-hidden\s*=\s*['"]true['"])[^>]*\bstyle\s*=\s*['"][^'"]*display\s*:\s*none[^'"]*['"][^>]*>
-
- - -
- link -
- - -
-
- #safe-area-inset-only-bottom - MED - A11y -

safe-area-inset-bottom without top/left/right siblings

-
-
-

-
Why bad

Reaching only for env(safe-area-inset-bottom) signals the dev copied the iPhone-X home-indicator fix without thinking about the notch (top), Dynamic Island, landscape mode, or rotated devices where left/right inset matters. The layout punches into hardware on three sides while pretending to be device-safe.

-
Fix

If the surface goes edge-to-edge, set all four insets (or `padding: env(safe-area-inset-top) env(safe-area-inset-right) env(safe-area-inset-bottom) env(safe-area-inset-left)` and let CSS pick the active ones). For a bottom-fixed nav, that's fine - but verify landscape with rotation doesn't expose the issue.

- 
env\(\s*safe-area-inset-bottom\s*\)(?![\s\S]{0,400}env\(\s*safe-area-inset-(?:top|left|right)\s*\))
-
- - -
- link -
- - -
-
- #screen-reader-only-without-class - MED - A11y -

Skip-to-content link with no sr-only / visually-hidden class

-
-
-

-
Why bad

A 'Skip to content' link without an .sr-only / .visually-hidden / .skip-link class fallback is visually shown to all users as a stray link at the top-left of the page - signals the dev knew the accessibility convention by name but didn't apply the actual technique. The link should be visually hidden until keyboard-focused, at which point it slides into view.

-
Fix

Wrap with the standard sr-only pattern: <a href='#main' class='sr-only focus:not-sr-only focus:fixed focus:top-0 focus:left-0 focus:p-4 focus:bg-white focus:text-black focus:z-50'>Skip to content</a>. For Tailwind that's the canonical recipe; for custom CSS apply `position:absolute; width:1px; height:1px; overflow:hidden; clip:rect(0,0,0,0);` then reveal on :focus.

- 
<a[^>]+href\s*=\s*['"]#(?:main|content|main-content|skip)['"][^>]*(?:class\s*=\s*['"](?![^'"]*(?:sr-only|visually-hidden|skip-link|screen-reader))[^'"]*['"])?[^>]*>\
-
- - -
- link -
- - -
-
- #card-glow-purple-shadow - MED - Color -

Purple glow shadow on cards

-
-
-

-
Why bad

Purple-tinted shadows on cards are the second-strongest 'AI premium' fingerprint after the gradient itself.

-
Fix

Use neutral diffusion shadow: shadow-[0_20px_40px_-15px_rgba(0,0,0,0.08)]. Color comes from the surface, not the shadow.

- 
box-shadow:[^;]*rgba?\(\s*(?:12[0-9]|13[0-9]|14[0-9])\s*,\s*(?:5[0-9]|6[0-9]|7[0-9])\s*,\s*(?:2[0-9]\d|2[3-5]\d)|shadow-(?:purple|violet|fuchsia|indigo)-(?:400|500|600)
-
- - -
- link -
- - -
-
- #glass-without-fallback - MED - Color -

backdrop-filter blur without background fallback

-
-
-

-
Why bad

backdrop-filter is unsupported on Firefox and older Safari - without a translucent background fallback, the surface renders fully transparent and content underneath bleeds through.

-
Fix

Always pair backdrop-filter: blur with a background-color (e.g. background: rgba(255,255,255,0.7)). The bg is the fallback; the blur is the upgrade.

- 
backdrop-filter\s*:\s*blur[^;]+;(?![^}]*background)
-
- - -
- link -
- - -
-
- #gradient-mesh-purple-pink - MED - Color -

Purple-pink mesh gradient hero

-
-
-

-
Why bad

Purple-to-pink mesh gradient is the second-most fingerprinted AI-hero pattern after blue-to-purple - 'I generated a landing page' aesthetic.

-
Fix

Single accent against neutral canvas. If a hero needs depth, layer subtle noise or a single low-saturation analogous gradient under 60deg hue spread.

- 
radial-gradient\([^)]*#(?:a855f7|c084fc|d946ef|e879f9|ec4899|f472b6)[^)]*\)|conic-gradient\([^)]*(?:purple|fuchsia|pink|violet)[^)]*\)|bg-gradient-to-[a-z]+\s+from-(?:purple|fuchsia|violet)-(?:400|500|600)\s+to-(?:pink|rose|fuchsia)-(?:400|
-
- - -
- link -
- - -
-
- #gradient-text-rainbow - MED - Color -

Multi-stop gradient text

-
-
-

-
Why bad

Three-stop rainbow text on a hero word is the strongest 'AI hero' tell after the purple-to-blue gradient.

-
Fix

Use a single solid color for headlines. If gradient text is essential, two stops in analogous hues at modest saturation.

- 
(?:bg-clip-text|background-clip:\s*text)[^"';]*(?:bg-gradient-to-[a-z]+\s+from-[a-z]+-[0-9]+\s+via-[a-z]+-[0-9]+\s+to-[a-z]+-[0-9]+|linear-gradient\([^)]*,[^)]*,[^)]*,[^)]*\))
-
- - -
- link -
- - -
-
- #before-after-100-percent - MED - Content -

Magnitude-default before-after claim

-
-
-

-
Why bad

0 to 100 / 100% guaranteed / 100% effective are the magnitude-by-default phrases AI reaches for - readers have learned to discount them.

-
Fix

Quote the real spread: 'from 14 manual steps to 3 automated'. If you can't measure it, don't claim it.

- 
(?:0 to 100|100% (?:guaranteed|effective|accurate|certain))
-
- - -
- link -
- - -
-
- #cta-text-tap-continue-go - MED - Content -

Generic CTA text: Tap here / Continue / Go

-
-
-

-
Why bad

'Tap here' / 'Continue' / 'Go' / 'Next' name an action but not a target - the screen reader user has no idea where the link lands. 'Submit now' / 'Sign up now' add urgency without value. Generic CTA fingerprint.

-
Fix

Replace with destination-aware copy: 'Install the plugin', 'Open the changelog', 'See the comparison table'. The CTA should be a tiny one-line promise.

- 
<(?:a|button)[^>]*>\s*(?:Tap\s+here|Continue|Go|Next|Submit\s+now|Sign\s+up\s+now)\s*</(?:a|button)>
-
- - -
- link -
- - -
-
- #fake-line-of-code-count - MED - Content -

Unsourced large-number marketing claim

-
-
-

-
Why bad

We saved 10,000 hours / Generated 1,000,000 lines of code / Reduced 50,000 tickets - large round numbers with no citation that signal the magnitude was invented to sound impressive.

-
Fix

Use the real measured number with the real source: 'In Q1 2026, customers saved 4,217 support hours (mean across 38 teams)'. Real numbers are messy and specific.

- 
(?:saved|generated|reduced|increased)\s+\d{1,3}(?:[,.]?\d{3})+\s+(?:hours|lines|users|teams)
-
- - -
- link -
- - -
-
- #fake-name-john-doe - MED - Content -

Generic placeholder names

-
-
-

-
Why bad

John/Jane Doe and their cousins signal that nobody thought about who would actually use the product - immediate AI-generated-tutorial vibe.

-
Fix

Use plausible names that fit the target market: Maya Iqbal, Adam Levin, Wen Zhang, Layla Haddad. Match region for regional products.

- 
\b(?:John\s+Doe|Jane\s+Doe|John\s+Smith|Jane\s+Smith|Sarah\s+Chan|Test\s+User|Demo\s+User|Foo\s+Bar)\b|\b(?:john\.doe|jane\.doe|test\.user)@(?:example|test|demo)\.com\b
-
- - -
- link -
- - -
-
- #marketing-buzz-ai-powered-driven - MED - Content -

Buzzword: AI-powered / AI-driven

-
-
-

-
Why bad

'AI-powered' has become the new 'cloud-based' - every landing page claims it, nobody asks what model, what data, what task. Empty by saturation.

-
Fix

Name the model and the function: 'uses Claude to generate brand-aware tokens', 'embeddings from text-embedding-3-small for palette match'. Or drop the qualifier and just describe the feature.

- 
\bAI[\s-]?(?:powered|driven|enabled|enhanced|first)\b
-
- - -
- link -
- - -
-
- #marketing-buzz-best-in-class - MED - Content -

Buzzword: best-in-class

-
-
-

-
Why bad

'Best-in-class' is a vendor pitch phrase with no defined benchmark - reads as marketing autopilot. If you really are best at something, name the comparison.

-
Fix

Replace with a measurable claim: 'fastest CI lint at 90ms', 'most rules in the category at 145'. If no comparison exists, drop the phrase.

- 
\bbest[\s-]in[\s-]class\b
-
- - -
- link -
- - -
-
- #marketing-buzz-cutting-edge - MED - Content -

Buzzword: cutting-edge

-
-
-

-
Why bad

'Cutting-edge' is the laziest tech adjective in marketing copy - empty signal that means 'we don't want to commit to a specific claim'. Skipped by anyone reading critically.

-
Fix

Replace with a concrete capability: 'ships in under 50ms', 'covers 152 anti-patterns', 'runs inside Cursor and Windsurf'. Specifics beat adjectives.

- 
\bcutting[\s-]edge\b
-
- - -
- link -
- - -
-
- #marketing-buzz-game-changing - MED - Content -

Buzzword: game-changing / game-changer

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Why bad

'Game-changing' is the most overused tech-PR adjective in the last decade - means the writer wanted hype without committing to a specific shift. Reads instantly as filler.

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Fix

Describe the shift in one sentence: 'design intelligence in the model context, not just in Figma'. Concrete > grandiose.

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\bgame[\s-]chang(?:er|ing|e)\b
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- #marketing-buzz-industry-leading - MED - Content -

Buzzword: industry-leading

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Why bad

'Industry-leading' is unverifiable by definition - every category leader and every follower uses it identically. Removes signal, adds slop.

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Fix

Cite the specific lead: 'first design linter in Claude Code marketplace', '4x more rules than the next entrant'. No claim, no superlative.

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\bindustry[\s-]leading\b
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- #marketing-buzz-leverage-ai-harness - MED - Content -

Buzzword: leverage / harness the power of

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Why bad

'Leverage AI', 'harness the power of', 'tap into the power of' are LinkedIn-thinkpiece formulas - immediately telegraphs generated marketing copy with no specifics.

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Fix

Use 'use' or name the verb directly: 'uses Claude for layout suggestions'. Plain verbs beat power-of-X scaffolding.

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\b(?:leverage(?:\s+the\s+power\s+of)?\s+AI|harness(?:\s+the\s+power\s+of)?|tap\s+into\s+the\s+power\s+of)\b
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- #marketing-buzz-next-generation - MED - Content -

Buzzword: next-generation

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Why bad

'Next-generation' is a category-leader cliche that names nothing - every press release in the last 30 years has claimed it. The phrase signals unedited marketing copy and shows the writer skipped the work of saying what is actually new.

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Fix

Name the specific capability that is new (e.g., 'first MCP-native design engine', 'first regex linter with 145 rules'). If you can't name a specific advance, drop the qualifier.

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\bnext[\s-]generation\b
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- #marketing-buzz-world-class - MED - Content -

Buzzword: world-class

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Why bad

'World-class' is consultancy filler - signals the writer either had nothing concrete to say or was scared to commit. Costs trust in a landing page.

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Fix

Name the specific bar you cleared: 'tested in 17 IDEs', 'WCAG AA on every component'. If there's no bar, the word does not belong.

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\bworld[\s-]class\b
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- #marketing-unlock-unleash-potential - MED - Content -

Buzzword: unlock / unleash the potential, reach new heights

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Why bad

'Unlock the potential' / 'unleash your creativity' / 'reach new heights' / 'take it to the next level' / 'the future is here' is the strongest cluster of LinkedIn-thinkpiece phrases in any landing page - immediate AI-generated marketing copy tell.

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Fix

Describe what the user can do that they could not do before: 'lint AI-generated code in 50ms', 'install in three IDEs from one command'. Specifics beat 'unlock' every time.

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\b(?:unlock(?:\s+the)?\s+(?:potential|power|magic|future)|unleash\s+(?:your|the)\s+(?:potential|creativity|power)|reach\s+new\s+heights|take\s+(?:it|things)\s+to\s+the\s+next\s+level|the\s+future\s+is\s+here)\b
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- #round-number-stats - MED - Content -

Round number marketing stat

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Why bad

99.99%, 10x faster, 100% guaranteed - the suspiciously round numbers AI invents to sound credible. Real measurements are messy and specific.

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Fix

Use the real number you measured: 99.93% uptime over Q1, 4.2x faster median build, refunded 218 of 244 reported issues. Specificity is the signal.

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(?:99\.99%|99\.9%|10x faster|100% guaranteed|10x more)
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- #timestamp-just-now - MED - Content -

Fake just-now timestamp in static markup

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Why bad

Just now / moments ago in static HTML is a fake activity signal - it stays Just now forever and signals nobody wired the real time-ago helper.

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Fix

Render real timestamps via a time-ago helper bound to a real source (Date.now, server time, last_event_at). If the surface is static, use a real date string instead.

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>\s*(?:Just now|Moments ago|seconds ago|few seconds ago)\s*<
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- #trust-badge-no-source - MED - Content -

Unsourced trust-by claim

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Why bad

Trusted by 1000+ teams / Used by Fortune 500 / Loved by 50k developers - unsourced trust claims that signal the generator invented the number to fill space.

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Fix

Name the actual companies, link to the actual case studies, or show the actual review aggregate. Specificity beats magnitude every time.

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(?:Trusted by|Used by|Loved by|Joined by)\s+\d+
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- #aspect-ratio-1-1-default - MED - Layout -

Square aspect-ratio as default everywhere

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Why bad

Every image clipped to 1:1 is the Instagram-grid AI fingerprint - signals the generator picked the safest crop instead of letting content set the frame. Real editorial layouts use varied ratios (3:2, 4:5, 16:9, 21:9) to create rhythm.

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Fix

Vary aspect ratio by content: 3:2 for product shots, 4:5 for portraits, 16:9 for hero or video. Reserve 1:1 for genuine grid contexts (avatars, social previews).

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<img[^>]+(?:aspect-square|aspect-\[1/1\]|aspect-ratio\s*:\s*1(?:\s*/\s*1)?\b)|aspect-ratio\s*:\s*1\s*/\s*1\b
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- #avatar-stack-overlapping - MED - Layout -

Generic overlapping avatar stack

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Why bad

Three overlapping circular avatars in the nav as 'our team' or 'join 10k users' is a content-marketing template tell.

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Fix

Use real customer logos, named testimonials with quotes, or specific signal (Used by 312 engineering teams at Series-A companies).

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class="[^"]*-space-x-[0-9]+[^"]*"[^>]*>(?:\s*<(?:img|div)[^>]*class="[^"]*(?:avatar|rounded-full)[^"]*"[^>]*/?>\s*){3,}
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- #centered-everything-hero - MED - Layout -

Centered hero composition

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Why bad

Centered headline + centered subtitle + centered button stack is the laziest hero composition and signals the generator picked it when it couldn't find a better layout.

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Fix

Use left-aligned hero with editorial 7-5 or 8-4 grid split; let the imagery earn its own column.

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<(?:section|div|header)[^>]*class="[^"]*\b(?:hero|banner)\b[^"]*"[^>]*>[\s\S]{0,800}?<h1[^>]*class="[^"]*\b(?:text-center|items-center\s+justify-center)\b[^"]*"|<(?:section|div)[^
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- #cta-buttons-clustered-in-hero - MED - Layout -

Three-plus CTA buttons clustered in hero

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Why bad

Three or more CTA-styled buttons within a single hero is decision paralysis - the AI's compromise when it can't choose the primary action. Conversion research is unanimous: one primary + one secondary outperforms three competing primaries.

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Fix

Pick one primary CTA. Demote the rest to text links or move them to a secondary surface. If you genuinely need three actions, restructure the hero into a comparison or a stepped layout so the primary is unambiguous.

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class=['"][^'"]*\b(?:hero|banner)\b[^'"]*['"][\s\S]{0,1200}?<(?:a|button)[^>]+class=['"][^'"]*\bbtn\b[^'"]*['"][\s\S]{0,400}?<(?:a|button)[^>]+class
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- #display-table-for-layout - MED - Layout -

display: table used for layout outside data tables

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Why bad

`display: table` on a non-<table> element is a 2008-era IE6 hack for vertical centering before flexbox existed. It defeats wrapping, ignores gap, breaks responsive collapse, and confuses screen-reader table-navigation modes when applied to non-tabular content.

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Fix

Use flexbox or grid: `display: grid; place-items: center;` for the centering case, or `display: flex; align-items: center` for one-axis. Reserve `display: table` for actual <table> elements that need CSS-controlled rendering.

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(?:^|[\s,>+~}])(?!table[\s,{])(?:\.[a-zA-Z_-][\w-]*|#[a-zA-Z_-][\w-]*|div|section|main|aside|article|header|footer|nav|ul|ol|li|span|a|button)[^{}]*\{[^}]*display\s*:\s*table\s*[;}]
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- #fixed-height-text-block - MED - Layout -

Pixel height on a text container

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Why bad

Fixing a pixel height on a container that also styles text breaks reflow at every other zoom level and font scale - the layout is one breakpoint away from clipping.

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Fix

Use min-height for floor protection, line-height + padding for vertical rhythm, and let content determine height. Never lock text height in px.

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(?:p|div|span)[^{]*\{[^}]*height\s*:\s*\d+px[^}]*color
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- #logo-cloud-no-real-logos - MED - Layout -

Logo cloud image with empty alt

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Why bad

An <img> inside a Trusted by / logo-cloud section with alt="" is an unsourced trust claim with no machine-readable company name - the logo is decorative even when the surface is selling credibility.

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Fix

Set alt to the real company name (alt="Stripe"), and only use the logo if you have permission. If you don't have permission, you don't have the trust signal.

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(?:trusted-by|logo-cloud|companies)[^{]*\{[^}]*<img[^>]+alt=\"\"
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- #negative-margin-pull-left-right - MED - Layout -

Large negative horizontal margin on body content

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Why bad

A negative margin of -10px or more on margin-left/right (or the logical equivalent) is almost always pulling content outside its container, which causes horizontal scroll on narrow viewports and silent overflow under RTL. Classic AI shortcut for 'align this to the edge' that should be solved by negative space, not negative margins.

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Fix

Use grid/flex with gap and align-items / justify-self for edge alignment. If you genuinely need to escape the gutter, use a calc() with the gutter token (margin-inline: calc(var(--gutter) * -1)) so the escape stays in sync with the grid.

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\bmargin-(?:left|right|inline-start|inline-end)\s*:\s*-(?:[1-9]\d|\d{3,})px\b
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- #animation-duration-too-long - MED - Motion -

Micro-interaction with animation-duration over 800ms

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Why bad

A hover, focus, or state-change animation longer than 800ms feels sluggish - users perceive UI under 200ms as instant, under 500ms as snappy, over 800ms as broken or laggy. Long durations on micro-interactions signal no taste decision was made.

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Fix

Cap micro-interactions at 150-400ms. Reserve longer durations (800ms+) for narrative scenes, page transitions, or deliberate orchestration - never for a button hover or icon flip.

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animation-duration\s*:\s*(?:[89]\d{2}|[1-9]\d{3,})ms\b|animation-duration\s*:\s*(?:[1-9]|[1-9]\.\d+)s\b|animation\s*:[^;]*\s(?:[89]\d{2}|[1-9]\d{3,})ms\b|animation\s*:[^;]*\s(?:[1-9]|[1-9]\.\d+)s\b
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- #cta-arrow-rightward-bouncing - MED - Motion -

Bouncing arrow on CTA

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Why bad

Bouncing arrow on a CTA is the desperate-attention pattern that signals the copy itself isn't doing the work.

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Fix

Let the CTA copy carry the action (Start a 14-day trial, Read the deployment guide). If you need an arrow, use a static SVG that nudges 2-4px on hover.

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<(?:button|a)[^>]*>[^<]*(?:→|->|&rarr;|&#8594;)[^<]*</(?:button|a)>|class="[^"]*\banimate-bounce\b[^"]*"[^>]*>\s*(?:→|→|&rarr;|<svg)
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- #transition-duration-500ms-or-longer - MED - Motion -

Interactive transition-duration 500ms or longer

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Why bad

A `transition-duration` of 500ms or more on hover, focus, or active states feels laggy - the human perception threshold for 'instant' is 100ms and for 'snappy' is 200ms. Users move the mouse 8-12 times per second; a 500ms transition means the hover state hasn't finished settling before the cursor moves on. Stretched transitions are the AI default for 'smooth.'

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Fix

Cap interactive transitions at 150-300ms. Use 200ms for color/background/border hovers, 250-300ms for transform/scale, and 100-150ms for fast snap states (focus rings, active depressions). Reserve 500ms+ for scene transitions, drawer slides, and page-level state changes - never single-element hovers.

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transition-duration\s*:\s*(?:[5-9]\d{2}|[1-9]\d{3,})ms\b|transition-duration\s*:\s*(?:0?\.[5-9]|[1-9](?:\.\d+)?)s\b|transition\s*:[^;]*\s(?:[5-9]\d{2}|[1-9]\d{3,})ms\b|transition\s*:[^;]*\s(?:0?\.[5-9]|[1-9](?:\.\d+)?)s\b
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- #transition-property-all - MED - Motion -

transition: all (lazy property list)

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Why bad

transition: all is the lazy default that animates every property change - including layout-triggering ones like width/height/margin - causing jank and unintended motion. It also fires on properties the author never meant to transition.

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Fix

List the exact properties: transition: transform 200ms ease, opacity 200ms ease. In Tailwind, prefer transition-colors, transition-opacity, transition-transform over transition-all.

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transition\s*:\s*all\b|transition-property\s*:\s*all\b|\btransition-all\b
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- #event-listener-no-passive-on-scroll - MED - Performance -

addEventListener('scroll' | 'touchmove' | 'wheel') without passive

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Why bad

scroll, touchmove, touchstart, and wheel listeners default to passive: false, which means the browser must wait for the handler to finish before scrolling - any sync work blocks the scroll thread and creates the 'janky scroll on a fancy page' feel. Chromium flags this in DevTools as a passive-listener warning for any non-passive scroll handler.

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Fix

Pass `{ passive: true }` as the third argument: `el.addEventListener('scroll', fn, { passive: true })`. Only opt out (passive: false) if you genuinely need preventDefault() to block scrolling - which is rare and usually wrong.

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addEventListener\s*\(\s*['"](?:scroll|touchmove|touchstart|wheel|mousewheel)['"]\s*,[^)]*\)(?![^;]*\{[^}]*passive\s*:\s*true)
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- #image-format-jpg-no-webp-avif - MED - Performance -

<img src="*.jpg"> without <picture> source AVIF/WebP

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Why bad

A raw <img> with a .jpg or .png source ships 3-10x more bytes than the same image as AVIF or WebP. On a hero photo this is 800KB vs 80KB - directly hurts LCP, mobile data, and Core Web Vitals. The fact that <picture>+<source type="image/avif"> has been universal since 2023 means this is now a generator-default tell.

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Fix

Wrap in <picture> with AVIF first, WebP next, JPG fallback: <picture><source srcset="hero.avif" type="image/avif"><source srcset="hero.webp" type="image/webp"><img src="hero.jpg" alt="..." width="..." height="..."></picture>. For framework images (next/image, astro:assets), the conversion is automatic - use them.

- 
<img\s[^>]*src\s*=\s*['"][^'"]+\.(?:jpg|jpeg|png)['"][^>]*>
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- #any-type-leak - MED - Quality -

TypeScript any type

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Why bad

any defeats the type system and signals the type was never figured out - the code is JavaScript pretending to be TypeScript.

-
Fix

Use unknown for genuinely unknown shapes and narrow with type guards. Use a specific interface or generic for everything else.

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:\s*any(?:\s*[;,)=\]>]|\s*$)|<any[,>]|as\s+any\b
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- #arbitrary-z-index-9999 - MED - Quality -

Lazy z-index value

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Why bad

z-index: 9999 is the 'I gave up on the stacking system' value - signals there's no z-scale token map and stacking bugs are coming.

-
Fix

Define a z-scale token set (z-base: 0, z-dropdown: 10, z-sticky: 20, z-modal: 50, z-toast: 60). Use the tokens, never a raw 9999.

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z-index:\s*(?:9999+|99999+|2147483647)\b|\bz-\[(?:9999+|99999+)\]
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- #body-cursor-pointer-default - MED - Quality -

body or main given cursor: pointer

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Why bad

cursor: pointer on body or html signals 'everything is clickable' when most things are not - users learn to distrust the cursor cue, and accessibility regressions follow. AI shortcut for 'I am not sure what is interactive so I will hint at everything'.

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Fix

Remove cursor: pointer from body / html / main. Apply it only to elements that are genuinely interactive (buttons, links, custom controls with the right ARIA role).

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(?:^|[\s,}>+~])(?:body|html|main|\.(?:app|root|page))[^{}]*\{[^}]*\bcursor\s*:\s*pointer\s*[;}]
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- #inline-style-attribute - MED - Quality -

Inline style attribute

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-

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Why bad

Inline style= attributes bypass the design system, defeat caching, and signal the styling decision was made ad hoc.

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Fix

Use Tailwind utilities, a CSS class, or a styled component. Reserve inline style for runtime-computed values (animated translate, dynamic CSS vars) only.

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<(?:div|span|p|section|article|h[1-6]|button|a|img)[^>]*\sstyle="[^"]+"
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- #all-caps-large - MED - Typography -

ALL CAPS at body-text size or larger

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-

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Why bad

ALL CAPS reading speed is 13-20% slower than mixed case because word shape is lost. At 14px or larger it actively impedes reading.

-
Fix

Reserve uppercase for eyebrows, labels, and badges under 14px. Use sentence case for anything readers need to read, not just scan.

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text-transform\s*:\s*uppercase[^}]*font-size\s*:\s*(?:[2-9]\d|\d{3,})
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- #body-font-weight-bold-or-700-keyword - MED - Typography -

body / p / li set to font-weight: bold or 700

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-

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Why bad

Making the entire body or every paragraph bold defeats hierarchy - the page has no normal weight to bold against. Long-form reading at weight 700 is measurably slower than at 400. AI shortcut for 'make it pop' that breaks the typographic system.

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Fix

Keep body and paragraph weight at 400 (or 450 if the typeface needs a touch more presence). Use bold sparingly inside paragraphs (strong / b) or on headings - never as the default body weight.

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(?:^|[\s,}>+~])(?:body|p|li|main|article|\.(?:body|prose|text|content|paragraph))[^{}]*\{[^}]*\bfont-weight\s*:\s*(?:bold|700|800)\s*[;}]
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- #body-letter-spacing-too-wide - MED - Typography -

Excessive letter-spacing on body / paragraph

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-

-
Why bad

Letter-spacing above ~0.25em or 5px on body text breaks reading flow and exceeds every typography guideline since the 1990s. Wide tracking belongs on display caps, never on paragraph text or list items.

-
Fix

Keep letter-spacing on body, p, li to ~0 to 0.02em max. Reserve wide tracking (0.2em to 0.4em) for short ALL-CAPS labels or eyebrow text only.

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(?:^|[\s,}>+~])(?:body|p|li|main|article|\.(?:body|prose|text|content|paragraph))[^{}]*\{[^}]*\bletter-spacing\s*:\s*(?:0?\.[3-9]\d*em|[1-9]\d*(?:\.\d+)?em|0?\.[3-9]\d*rem|[1-9]\d*(?:\.\d+)?rem|[6-9]px|[1-9]\d+px)
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- #body-text-shadow-on-prose - MED - Typography -

text-shadow applied to body or prose

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-
-

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Why bad

text-shadow on body text smears the glyph edges, drops contrast, and is the classic 2010s skeuomorphic tell. Long-form reading becomes measurably harder, and the shadow does not survive dark mode without a separate override.

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Fix

Remove text-shadow from body, p, li, prose, and content classes. If you need depth on a hero title or display headline, scope text-shadow to that one element class and verify contrast in both light and dark themes.

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(?:^|[\s,}>+~])(?:body|p|li|main|article|\.(?:body|prose|text|content|paragraph))[^{}]*\{[^}]*\btext-shadow\s*:
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- #display-bold-700 - MED - Typography -

Display heading at 700+ font-weight

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-
-

-
Why bad

Display fonts at 700 weight read dense and visually muddy. Most display faces are drawn to sing at 500-600; 700+ is for body emphasis, not headlines.

-
Fix

Use font-weight 500 or 600 on display headings. Reserve 700+ for body emphasis (bold inline text, table totals, primary CTA labels).

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font-weight\s*:\s*(?:700|bolder)[^}]*font-size\s*:\s*(?:[3-9]\d|\d{3,})
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- #hero-text-arbitrary-90px - MED - Typography -

Arbitrary hero font size

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-
-

-
Why bad

Arbitrary px values like text-[90px] or text-[112px] bypass the type scale and signal the size was picked by eye, not by system.

-
Fix

Extend the Tailwind theme scale or use clamp() for fluid hero typography. text-6xl/text-7xl/text-8xl exist for a reason.

- 
text-\[(?:9[0-9]|1[0-9]{2})px\]|font-size:\s*(?:9[0-9]|1[0-9]{2})px\b
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- #letterspacing-tracking-tight-display - MED - Typography -

Tight letter-spacing on heavy display heading

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-
-

-
Why bad

tracking-tighter (-0.05em) on font-weight 800+ display is the unmistakable 'AI hero' typographic recipe - copied from every Linear-clone landing page. The combination crushes the counters and reads as default, not deliberate.

-
Fix

Use letter-spacing -0.01em to -0.02em on display headings, with font-weight 500-600. Reserve heavy-and-tight pairings for short brand wordmarks, not full headlines.

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letter-spacing\s*:\s*-0\.0[3-9]e?m?[^;}]*[;}][^{]*font-weight\s*:\s*[7-9]00|font-weight\s*:\s*[7-9]00[^;}]*[;}][^{]*letter-spacing\s*:\s*-0\.0[3-9]|\btracking-tighter\b[^"']*\bfont-(?:bold|extrabold|black)\b|\bfont-(?:bold|extrabo
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- #text-3xl-4xl-5xl-stack - MED - Typography -

Tailwind text-3xl text-4xl text-5xl AI hero stack

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-
-

-
Why bad

text-3xl md:text-4xl lg:text-5xl (and the 4xl/5xl/6xl shift) is the verbatim Tailwind tutorial cadence for every AI-generated hero - signals the responsive type was set by stepping through preset utilities, not by tuning the actual feel at each breakpoint.

-
Fix

Use clamp() for fluid type: text-[clamp(2.5rem,5vw,4.5rem)] or define a custom step in tailwind.config that jumps by content priority, not utility index.

- 
\btext-3xl\b[^"]*\bmd:text-4xl\b[^"]*\blg:text-5xl\b|\btext-4xl\b[^"]*\bmd:text-5xl\b[^"]*\blg:text-6xl\b|\btext-5xl\b[^"]*\bmd:text-6xl\b[^"]*\blg:text-7xl\b
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- #title-case-headlines - MED - Typography -

Title Case On Display Headings

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-
-

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Why bad

Marketing-style Title Case on every headline dates the design to a 2014 SaaS template and slows reading. Sentence case scales better and reads faster.

-
Fix

Default to sentence case for headlines. Reserve title case for proper nouns and brand names, or for an explicit editorial decision.

- 
<h[12][^>]*>\s*(?:[A-Z][a-z]+\s+){3,}
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- #align-html-attribute - MED - Visual -

Presentational align= HTML attribute

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-
-

-
Why bad

align='left|right|center' on block elements is deprecated since HTML 4.01 - it bypasses logical properties (text-align: start/end) so it never flips correctly under dir='rtl', and the model only reaches for it when it doesn't know the modern equivalent. Critical regression for any RTL-first product.

-
Fix

Use CSS text-align with logical values: text-align: start for left in LTR / right in RTL; text-align: end for the opposite; text-align: center stays center. For tables use <td class='text-end'> with a logical-property utility, not align='right'.

- 
<(?:p|div|table|td|th|tr|img|h[1-6]|caption|col|colgroup|tbody|tfoot|thead)\s+[^>]*\balign\s*=\s*['"](?:left|right|center|justify)['"][^>]*>
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- #bgcolor-html-attribute - MED - Visual -

Presentational bgcolor= attribute

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Why bad

bgcolor= is an HTML 3.2 presentational attribute deprecated since HTML 4.01 - it bypasses the design system, ignores tokens, breaks dark mode, and signals the file was either copy-pasted from a 1998 tutorial or a model that didn't know any better.

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Fix

Use CSS background-color via a design token (--bg-surface-1, .bg-surface-1, bg-zinc-50). If the surface is tenant-themed, drive it from a CSS variable bound to the tenant palette.

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<[a-z][a-z0-9]*\s+[^>]*\bbgcolor\s*=\s*['"][^'"]+['"][^>]*>
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- #box-shadow-multilayer-default - MED - Visual -

Five-plus box-shadow layers stacked

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-

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Why bad

Stacking five or more shadow layers is the AI's idea of premium depth; reads as visual bloat and chews the GPU on paint.

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Fix

Use one ambient diffusion shadow (e.g. 0 20px 40px -15px rgba(0,0,0,0.08)) and at most one tight contact shadow. Depth comes from contrast, not layer count.

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box-shadow:\s*([^,;]+,[^,;]+,[^,;]+,[^,;]+,[^,;]+,)
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- #dynamic-island-glow-everywhere - MED - Visual -

Dynamic Island inner glow on cards

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-

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Why bad

iOS Dynamic Island's inner-glow + blur recipe is being copied as the default on every card and pill - reads as the 2024 AI-marketing-template tell.

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Fix

If you want depth, use a single outer diffusion shadow tuned to the surface. Reserve inset glows for a deliberate metallic or pill-style accent, not every surface.

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box-shadow:\s*inset[^;]+blur
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- #glass-morphism-default - MED - Visual -

Backdrop-blur frosted-glass on four-plus surfaces

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Why bad

Frosted-glass everywhere is the iOS-aesthetic AI tell - signals the generator confused 'depth' with 'blur every surface'. Four-plus backdrop-blur layers on a single page is the visual equivalent of using bold on every word.

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Fix

Reserve glass for one or two surfaces that have a clear reason to feel translucent (a floating nav, a notification toast). Solid surfaces with restraint read more premium than four blurred panels.

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(?:backdrop-(?:blur|filter)|backdrop-filter\s*:\s*blur)[\s\S]{0,1500}?(?:backdrop-(?:blur|filter)|backdrop-filter\s*:\s*blur)[\s\S]{0,1500}?(?:backdrop-(?:blur|filter)|backdrop-filter\s*:\s*blur)[\s\S]{0,1500}?(?:backdrop-(?:blur|filter)|ba
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- #noise-texture-overlay - MED - Visual -

Repeating noise or grain texture overlay

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Why bad

A noise.png or grain.svg tiled across a hero is the 2024 generative-UI fingerprint - signals 'I added texture' without a coherent material story. Most viewers register it as visual static, not depth.

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Fix

If grain is a deliberate brand choice, generate it via SVG <feTurbulence> with low baseFrequency and 4-6% opacity. Otherwise drop the texture; flatness reads more confident than fake film grain.

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background(?:-image)?\s*:[^;]*url\([^)]*(?:noise|grain|texture|stipple|paper|fabric)[^)]*\.(?:png|jpe?g|svg|webp)[^)]*\)
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- #scroll-to-top-button-everywhere - LOW - A11y -

Fixed scroll-to-top button on short pages

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Why bad

A floating back-to-top button on a page under four viewports adds permanent visual noise for a vanishingly rare interaction - signals the generator included the pattern as decoration, not need.

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Fix

Drop the button. If pages can grow past four viewports, gate the button on scroll position and hide it below threshold. Keyboard users have Home; mouse users have the wheel.

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position\s*:\s*fixed[^}]*bottom\s*:[^;]+;[^}]*scroll
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- #tailwind-color-named-vague - LOW - Color -

Named Tailwind colors with no semantic token

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Why bad

Raw bg-blue-500 / bg-purple-500 with no semantic token (primary, success, danger) signals the color system was never designed.

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Fix

Define semantic tokens in tailwind.config or CSS custom properties: bg-primary, text-success, ring-accent. Map them once.

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\b(?:bg|text|border|ring|from|to|via)-(?:blue|red|green|yellow|purple|pink|indigo|orange)-(?:400|500|600)\b
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- #version-1-0-0-evergreen - LOW - Content -

Hardcoded v1.0.0 in nav or footer

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Why bad

A static 'v1.0.0' in the nav or footer never updates with the real build - signals the generator added a version chip as decoration without wiring it to package.json or the deploy SHA. Worse, the badge stays at 1.0.0 forever and reads as stagnant.

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Fix

Either pull the version from package.json at build time (Vite/Webpack define), bind it to the deploy SHA, or remove the chip entirely. A wrong version is worse than no version.

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<(?:nav|footer|header|aside)[\s\S]{0,800}?\bv?1\.0\.0\b|class=['"][^'"]*(?:version|footer|nav)[^'"]*['"][^>]*>[^<]*\bv?1\.0\.0\b
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- #flex-center-center-default - LOW - Layout -

flex + justify-center + align-center as the default block

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Why bad

display: flex + justify-content: center + align-items: center wrapped around content is the AI's default-centering recipe - signals the layout was reached for in three lines without thinking about asymmetric balance, content priority, or whether the content actually wants to be centered. Real layouts earn their alignment.

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Fix

Use `display: grid; place-items: center` if you genuinely want full centering (one line, clearer intent). Better: ask whether centering is the right move - asymmetric or top-aligned layouts almost always read more deliberate. Reserve dead-center for hero CTAs and modals.

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\{[^}]*display\s*:\s*flex\s*;[^}]*justify-content\s*:\s*center\s*;[^}]*align-items\s*:\s*center\s*;[^}]*\}
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- #grid-cols-3-1fr-default - LOW - Layout -

repeat(3, 1fr) as a default grid

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Why bad

repeat(3, 1fr) with no minmax(), no auto-fit, and no asymmetric weighting is the laziest grid declaration - signals the layout was set by a generator that defaulted to 'three equal columns' without thinking about content priority or responsive behavior.

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Fix

Use minmax for responsive floors: repeat(auto-fit, minmax(280px, 1fr)). For deliberate three-column layouts, weight by content: grid-template-columns: 2fr 1fr 1fr, or use named-area grids.

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grid-template-columns\s*:\s*repeat\(\s*3\s*,\s*1fr\s*\)|grid-template-columns\s*:\s*1fr\s+1fr\s+1fr\s*[;}]
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- #pill-rounded-full-everywhere - LOW - Layout -

rounded-full applied to everything

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Why bad

rounded-full on every button and input is the iOS-tutorial fingerprint - signals the radius decision was skipped entirely.

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Fix

rounded-full for pills, avatars, icon buttons only. Use rounded-md or rounded-lg for primary buttons; rounded-xl or rounded-2xl for cards.

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<button[^>]*class="[^"]*\brounded-full\b[^"]*"[^>]*>(?![^<]*(?:×|close|menu|search))|<(?:input|textarea)[^>]*class="[^"]*\brounded-full\b
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- #cubic-bezier-material-only - LOW - Motion -

Material default easing everywhere

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Why bad

cubic-bezier(0.4, 0, 0.2, 1) is Material Design's default standard ease - using it as the only curve signals no taste decision was made.

-
Fix

Use cubic-bezier(0.16, 1, 0.3, 1) for premium exits, cubic-bezier(0.34, 1.56, 0.64, 1) for playful overshoot, or spring physics.

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cubic-bezier\(\s*0?\.4\s*,\s*0\s*,\s*0?\.2\s*,\s*1\s*\)
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- #scale-1-1-on-card-hover - LOW - Motion -

Over-the-top hover scale

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Why bad

scale(1.1) or higher on hover reads as amateur - it shouts when a 1-2 percent nudge or a shadow lift would be more confident.

-
Fix

Use scale(1.01) to scale(1.03), or replace the scale with a translateY(-2px) plus shadow shift. Restraint reads premium.

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:hover[^{]*\{[^}]*transform[^;]*scale\(1\.[1-9]\d*\)
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- #timing-300ms-default - LOW - Motion -

Default 300ms transition timing

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Why bad

300ms is the editor default - using it everywhere signals zero motion intent and reads as laziness to anyone who tunes animation curves.

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Fix

Micro-interactions 150-220ms, complex transitions 250-400ms, exit 60-70% of entry. Pick durations that match the feel, not the default.

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(?:transition(?:-duration)?|animation-duration):\s*300ms\b|duration-300\b|\bduration:\s*0\.3s\b
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- #animated-grain-noise-no-perf-class - LOW - Performance -

Animated grain or noise without GPU hint

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Why bad

Animated grain or noise without a will-change or transform hint forces a CPU repaint every frame and causes paint thrashing on low-end devices.

-
Fix

Add will-change: transform or compose the noise via an SVG <feTurbulence> overlay on a transformed layer. Or drop the animation - static grain reads the same and costs nothing.

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animation\s*:[^;]*(?:grain|noise|stipple|dither)[^;]*;(?![^}]*will-change)
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- #class-multiple-utility-than-token - LOW - Quality -

Five-plus utility classes where a token would do

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Why bad

Stacking `text-sm text-gray-500 font-medium leading-5 tracking-tight` on a single element signals every type decision was made inline by a generator that never reached for a token. The same text style appears across 30 components with subtle drift instead of being defined once as `.text-body-meta` or in a typography preset.

-
Fix

Extract recurring stacks to a named token: `@apply text-sm text-gray-500 font-medium leading-5 tracking-tight` on a `.text-body-meta` class, or define semantic font-utilities in tailwind.config.ts (`text: { 'body-meta': [...] }`). Inline 5-plus utility chains is a refactor target.

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class\s*=\s*['"][^'"]*\btext-(?:xs|sm|base|lg|xl)\b[^'"]*\btext-(?:slate|gray|zinc|neutral|stone)-[0-9]{3}\b[^'"]*\bfont-(?:thin|light|normal|medium|semibold|bold)\b[^'"]*\bleading-[0-9]+\b[
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- #data-testid-in-production-markup - LOW - Quality -

data-testid left in production markup

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-
-

-
Why bad

data-testid attributes are test-runner hooks that have no business in the production payload - they bloat the DOM, leak internal test names to anyone who Views Source, and signal the build pipeline strips nothing. AI-pasted-from-example-code fingerprint.

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Fix

Strip data-testid at build time (Vite / Webpack / esbuild plugin) or move identifiers to data-test-* / aria-label that the test harness reads. Keep production HTML free of test-only attributes.

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\sdata-testid\s*=\s*['\"][^'\"]+['\"]
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- #generic-class-container-wrapper-only - LOW - Quality -

div with only 'wrapper' / 'box' / 'inner' as class

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-

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Why bad

A bare class='wrapper' / 'box' / 'inner' with nothing else gives the design system no information about what the div is for - the throwaway naming a generator falls back to when it has no concept of role or semantic. Tailwind's '.container' utility is intentionally excluded - it carries layout intent.

-
Fix

Name the role: class='hero__inner', class='pricing-grid', class='footer-cta-block'. Even if it carries the layout utility, the prefix should say what kind of block it is.

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<div\s+class\s*=\s*['\"](?:wrapper|box|inner|outer|main-wrapper|page-wrapper|content-wrapper|outer-wrapper|inner-wrapper)['\"]\s*>
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- #numbered-placeholder-classname - LOW - Quality -

Numbered placeholder class names (card-1, feature-2)

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Why bad

card-1, feature-2, step-3 are the throwaway class names a generator emits when it has no semantic for what each block actually contains - signals nobody named the content. They also defeat CSS reuse because every variant gets a unique class.

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Fix

Name classes by purpose: .pricing-card, .feature-comparison, .onboarding-step. If the cards really are interchangeable, use a single .card class with modifiers (.card--featured) or data attributes (data-tier="pro").

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class\s*=\s*['"][^'"]*\b(?:card|feature|item|tile|section|block|box|step|slide)-[0-9]+\b
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- #padding-shorthand-4-vals-zero-first - LOW - Quality -

Verbose 4-value padding/margin where 3 would do

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Why bad

Writing `padding: 0 16px 16px 16px` when `padding: 0 16px 16px` collapses to the same result is the AI tell of a generator that copied a 4-value shorthand without simplifying. It also indicates the dev didn't run `prettier` or any formatter pass.

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Fix

Use the shortest equivalent shorthand: 1 value (all sides), 2 values (vertical | horizontal), 3 values (top | horizontal | bottom). If you need different values per side, the 4-value form is fine - just don't restate the same value twice.

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(?:padding|margin)\s*:\s*0(?:px|rem|em)?\s+(\d+(?:\.\d+)?(?:px|rem|em|%))\s+(\d+(?:\.\d+)?(?:px|rem|em|%))\s+\1\s*[;}]
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- #shadcn-default-everywhere - LOW - Quality -

Default shadcn token block unmodified

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-

-
Why bad

The default shadcn HSL token block with --radius 0.5rem is recognizable in two seconds by anyone who has shipped one shadcn app.

-
Fix

Customize tokens at init: swap slate for zinc/stone, shift primary to a brand hue, set --radius to 0.625rem or 0.75rem.

- 
--background:\s*0\s+0%\s+100%[\s\S]{0,200}--foreground:\s*222\.2\s+84%\s+4\.9%|--primary:\s*222\.2\s+47\.4%\s+11\.2%|--radius:\s*0\.5rem;
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- #todo-fixme-comment - LOW - Quality -

TODO or FIXME in shipping code

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-

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Why bad

TODO/FIXME in shipping code is an unresolved promise to the reader and a draft-state leak.

-
Fix

Resolve the TODO before merge, or move it to the issue tracker with a specific owner and date.

- 
(?://|/\*|<!--|\{/\*)\s*(?:TODO|FIXME|XXX|HACK|WIP|REFACTOR)\b
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- #font-family-monospace-fallback-default - LOW - Typography -

font-family: monospace with no specific stack

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Why bad

Bare `font-family: monospace` (no specific stack before the generic) hands rendering to Courier New on Windows and Monaco on old Macs - ugly defaults that signal nobody picked a code face. Modern stacks lead with JetBrains Mono, Fira Code, IBM Plex Mono, or `ui-monospace` for system-matched output.

-
Fix

Specify the stack: `font-family: 'JetBrains Mono', 'Fira Code', ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;`. Use `ui-monospace` first if you want the OS default code face on every platform.

- 
font-family\s*:\s*monospace\s*[;}!]
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- #font-system-only - LOW - Typography -

System font stack with no chosen typeface

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-

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Why bad

Falling back to the system stack alone with no chosen typeface gives up the chance to have any typographic identity.

-
Fix

Pick a real face: Geist, Inter, Satoshi, IBM Plex Sans, Cabinet Grotesk, or the brand's variable. System stack is the absolute last fallback.

- 
font-family:\s*(?:-apple-system|BlinkMacSystemFont)(?:\s*,\s*(?:BlinkMacSystemFont|'?Segoe UI'?|Roboto|Oxygen|Ubuntu|Cantarell|'?Helvetica Neue'?|sans-serif|system-ui))*\s*;
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- #blur-bg-only-decoration - LOW - Visual -

Backdrop blur with no glass surface

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Why bad

Backdrop blur applied without a translucent surface behind it is GPU work for zero visual benefit - decoration, not design.

-
Fix

Pair backdrop-blur with a translucent fill: bg-white/70 or bg-zinc-950/60. Otherwise remove the blur entirely.

- 
(?:backdrop-blur(?:-(?:sm|md|lg|xl|2xl|3xl))?|backdrop-filter:\s*blur\([^)]+\))(?![^"';]*(?:bg-white/[0-9]|bg-black/[0-9]|bg-[a-z]+-[0-9]+/[0-9]|background:[^;]*rgba))
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- #body-background-color-inherit - LOW - Visual -

body { background-color: inherit }

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-

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Why bad

background-color: inherit on body chains to <html>, which by default has no background and resolves to canvas/white - so the inherit chain breaks the moment <html> is themed differently from body, and the page shows a flash of system canvas before paint. AI shortcut for 'just inherit it' when the dev didn't bother to choose a real surface token.

-
Fix

Set body { background-color: var(--bg-surface-0, white) } with an explicit token. If dark mode is in play, the token should respond to color-scheme or .dark, not chain through inherit.

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\bbody\s*\{[^}]*\bbackground(?:-color)?\s*:\s*inherit\s*[;}]
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- #border-radius-2xl-default - LOW - Visual -

rounded-2xl or larger applied to everything

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Why bad

rounded-2xl/3xl (24-32px+) on every card, button, and input is the Tailwind AI signature - signals the radius was set once and copy-pasted instead of being calibrated per element size. Buttons end up looking like pills, inputs lose definition, dense surfaces feel cartoonish.

-
Fix

Calibrate radius to element size: 4-8px for inputs, 8-12px for buttons, 12-16px for cards, 16-24px for marketing surfaces only. Define a 4-5 step radius scale and use the tokens.

- 
\brounded-(?:2xl|3xl)\b|border-radius\s*:\s*(?:24|28|32|36|40)px\b|border-radius\s*:\s*1\.[5-9]rem\b|border-radius\s*:\s*[2-3]rem\b
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- #cursor-pointer-on-disabled - LOW - Visual -

cursor:pointer applied to :disabled state

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Why bad

A :disabled element with cursor: pointer signals to the user that the element is clickable - the visual affordance says 'I respond' while the actual element says 'I don't.' Confused state, immediate friction. Common when a global utility class wins over the :disabled override.

-
Fix

Override to cursor: not-allowed (or cursor: default) inside the :disabled selector. Pair with opacity: 0.5 and pointer-events: none on the visual layer if the disabled state must be unreachable to mouse users.

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:disabled[^{]*\{[^}]*cursor\s*:\s*pointer\s*[;}]
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- #loader-spinner-border-default - LOW - Visual -

Default CSS border-spin loader recipe

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Why bad

The 4-border-color, border-top-different, animation: spin recipe is the textbook 1998 spinner that every AI generator emits for any loading state - signals the loading affordance was set by default, not designed. Modern systems use skeleton screens, progress bars, or branded indicators.

-
Fix

Replace with a skeleton screen for content loading, a progress indicator for known-duration tasks, or a branded SVG mark animated via transform: rotate. The bordered spinner is the loading equivalent of Lorem ipsum.

- 
border\s*:\s*\d+px\s+solid[^;}]*[;}][^{]*border-top(?:-color)?\s*:[^;]+;[^}]*animation\s*:[^;]*spin|\.(?:loader|spinner)[^{]*\{[^}]*border-radius\s*:\s*50%[^}]*animation[^}]*:[^}]*spin
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- #aria-hidden-on-interactive - MED - A11y -

aria-hidden on a focusable interactive element

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-

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Why bad

aria-hidden="true" on a focusable element (button, link, input) removes it from the accessibility tree while leaving it in the tab order - keyboard users can land on a control that screen readers refuse to announce. WCAG 4.1.2 failure.

-
Fix

If the control is decorative, remove it from the DOM or set tabindex="-1" AND aria-hidden together. If it has a function, drop the aria-hidden and give it a proper accessible name via aria-label or visible text.

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<(?:button|a|input|select|textarea)[^>]+aria-hidden\s*=\s*['"]true['"]
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- #div-onclick-no-role - MED - A11y -

Click handler on <div> without role or tabindex

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-

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Why bad

A <div onClick> is invisible to keyboard users and assistive tech - the action exists only for mouse users, a WCAG 2.1.1 and 4.1.2 failure.

-
Fix

Use <button onClick> for actions. If you must keep the <div>, add role="button" tabindex="0" and an onKeyDown handler for Enter and Space.

- 
<div[^>]+onClick=(?![^>]+role\s*=\s*['"]button)
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- #onclick-on-non-button - MED - A11y -

onclick handler on non-interactive element

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-
-

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Why bad

onclick (lowercase, HTML attribute form) on a <div>, <span>, <p>, <li>, <td>, or <h*> is invisible to keyboard users and assistive tech - WCAG 2.1.1 and 4.1.2 fail. Unlike the JSX onClick rule we already catch, this fires in plain HTML and Blade where the lowercased attribute is the only form available.

-
Fix

Use <button onclick='...'> for actions. If you genuinely cannot change the tag, add role='button' tabindex='0' AND an onkeydown handler that fires the same action on Enter or Space keypress.

- 
<(?:div|span|p|li|td|h[1-6])\b[^>]*\bonclick\s*=\s*['"][^'"]+['"][^>]*>
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- #outline-none-no-focus-visible - MED - A11y -

outline removed without focus-visible replacement

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-

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Why bad

outline: none removes the only keyboard focus indicator and leaves keyboard users with no signal of focus state - a WCAG 2.4.7 failure.

-
Fix

Pair outline: none with a :focus-visible rule that restores a visible ring: :focus-visible { outline: 2px solid var(--primary); outline-offset: 2px; }.

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outline\s*:\s*(?:none|0)\s*;(?![^}]*:focus-visible)
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- #viewport-no-zoom - MED - A11y -

Viewport blocks pinch-zoom

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-

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Why bad

user-scalable=no blocks pinch-zoom for low-vision users on touch devices - a WCAG 1.4.4 failure that locks out anyone who needs to enlarge text.

-
Fix

Remove user-scalable=no entirely, or set it to yes. Default viewport: <meta name="viewport" content="width=device-width, initial-scale=1">.

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<meta[^>]+viewport[^>]+user-scalable\s*=\s*['"]?no
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- ux-skill · deterministic anti-AI-slop linter · MIT · no telemetry · home · github -
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- - - - - - diff --git a/landing/ar/index.html b/landing/ar/index.html deleted file mode 100644 index 8389be5..0000000 --- a/landing/ar/index.html +++ /dev/null @@ -1,964 +0,0 @@ - - - - - -uxskill v3.1 — اجعل أكواد الذكاء الاصطناعي تبدو أصيلة. العقل التصميمي لبرمجة مفعمة بالحياة. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - -
- -
- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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- ضع نجمة على GitHub - -
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- v3.1.0 · العقل · مباشر - MIT · لا تتبع · لا يعتمد على LLM -
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العقل الذي يقدم تصاميم لا تبدو مولدة آليًا.

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مُركِّب ذو 7 محاور يحوّل أي موجز إلى لغة تصميم متفردة، مرتكزة على علامتك التجارية. مجاني، MIT، يعمل مع 17 أداة برمجة ذكاء اصطناعي.

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- ما تطلقه كل يوم -

يقدم ذكاؤك الاصطناعي النمط الوسطي افتراضيًا.

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اطلب من أي نموذج أن "يبني صفحة هبوط". ستحصل على متوسط كل صفحة استوعبها — في عشر ثوانٍ، كل مرة. هذا ما يبدو عليه النمط الوسطي.

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ابنِ لي صفحة هبوط لـ fintech.
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the slop
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حسنًا. أريدها أن تبدو مثلنا — لا مثل الجميع.
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هذه هي المهمة بأكملها. تابع القراءة.the turn ↓
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ماذا لو كان النموذج يمتلك عقل مصمم مدمجًا؟

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ليس نموذجًا أكبر. بل طبقة حتمية تُجمّع لغة تصميم — الدفء، التباين، الكثافة، الشكل الهندسي، الرسمية، الحركة، الخط — بدلاً من اللجوء إلى أقرب قالب جاهز.

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يُجمّع لغة تصميم. ليس قالبًا جاهزًا.

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خمس خطوات حتمية، من الفكرة حتى الإطلاق.

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system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
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اقرأ الموجز.

الصناعة، الجمهور، المزاج — تُحلل إلى مدخلات منظمة، لا مجال للتخمين.

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system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
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حدد المحاور السبعة.

الدفء، التباين، الكثافة، الشكل الهندسي، الرسمية، الحركة، الخط — تُضبط، ثم تُصدر كرموز.

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system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
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ارتكز على علامتك التجارية.

اللون الأساسي يُستخرج من بكسلات شعارك — وليس من أقرب لون CSS مسمى.

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system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
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افحص 152 نمطًا شائعًا.

رؤوس بتدرج لوني، ثلاث بطاقات متساوية، أفعال حشو — تفشل عملية البناء هنا.

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system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
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تحقق من التوافق مع الجوال، فعليًا.

تُعرض بدقة 360/390px في متصفح Chrome بلا واجهة رسومية (headless). التمرير الأفقي يتسبب في فشل البناء، وليس في إحباط المستخدمين.

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160 مواصفات علامة تجارية حقيقية — ككلمات، لا كأختام.

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كان الكتالوج مجرد قائمة: اختر Stripe، واحصل على رموز بنكهة Stripe. v3 قلب هذا المفهوم رأسًا على عقب — فـ Stripe، Linear، Vercel، Ferrari، Anthropic أصبحت هي المفردات التي يستخلص منها المحرك، لذا تكون المخرجات مبتكرة في كل استدعاء. حتمي، يعمل دون اتصال، لا يوجد نموذج ذكاء اصطناعي في العملية.

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1,243  مدخلات منظمة، قابلة للاستعلام والربط المرجعي

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المحرك ذاته، المخرجات الموالية للعلامة التجارية ذاتها، في كل مكان.

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Claude Code، Cursor، Windsurf، Copilot، Gemini، Codex، Zed، JetBrains، Cline، Continue، Aider، Tabnine — تثبيت واحد، لا إعدادات لكل أداة. يحتفظ فريقك بمحرره؛ ويأتي المعيار الأساسي معه.

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ثلاث خصائص. لا يمتلكها أي منافس مجتمعة.

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الموجز ذاته، النظام ذاته. لا يوجد نموذج في المحرك، لا تتبع، يعمل حتى على متن طائرة.

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- - موالٍ للعلامة التجارية

اللون الأساسي من بكسلات شعارك؛ معيار صارم للدقة يرفض أي مخرج لا يتماشى مع العلامة التجارية.

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تُعرض على منافذ عرض حقيقية بقياس 360 / 390 بكسل — التمرير الأفقي يتسبب في فشل البناء، وليس في إحباط المستخدمين.

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1,243
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160
مواصفات العلامات التجارية
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قواعد الأنماط الشائعة
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تكاملات بيئات التطوير المتكاملة (IDE)
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سطر واحد. ثم ابدأ البناء.

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Pythonpip install uxskill
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Nodenpx uxskill@latest
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المصدرgithub.com/Laith0003/ux-skill
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[معاينة] uxskill v3.1 · حتمي · موالٍ للعلامة التجارية · متحقق من الجوال · يعمل دون اتصال، لا يعتمد على LLM، لا تتبع
- - - - - - diff --git a/landing/blog/ai-built-website-no-slop.html b/landing/blog/ai-built-website-no-slop.html deleted file mode 100644 index db6ebdd..0000000 --- a/landing/blog/ai-built-website-no-slop.html +++ /dev/null @@ -1,714 +0,0 @@ - - - - - - - - - AI-built websites in 2026 — why every one looks the same and how to fix it - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- Blog · Comparison · 2026-05-28 -

AI-built websites in 2026 — why every one looks the same.

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- Vercel v0, Lovable, Bolt.new, Replit Agent, Tempo, and Claude Code can all ship a functioning marketing site in under five minutes. They also all ship the same marketing site. The same gradient. The same trio of cards under the hero. The same body face stretched into a 90-pixel headline. Here is the honest comparison — what each builder is actually good at, where the shared fingerprint comes from, and the deterministic rules layer that catches it. -

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By the ux-skill team · 9 min read · MIT-licensed open source

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The six builders, in one table

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- Every name on the list ships a working website from a prompt. The architecture varies; the output convergence does not. Star counts are pulled live from GitHub on 2026-05-28 where the project has a public repo. -

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BuilderStack outputHostingWhere the design comes from
v0 by VercelNext.js, Tailwind, shadcn/uiVercel one-clickInline model output · no rules layer
LovableReact, Tailwind, Supabase backendLovable hosted · export availableInline model output · no rules layer
Bolt.new by StackBlitzAny (WebContainer)Hosted or exportInline model output · no rules layer
Replit AgentAny (Replit Workspaces)Replit DeploymentsInline model output · some Replit Designer assist
TempoReact, Tailwind, shadcn/uiExport to your stackInline model output · some block library
Claude Code / Cursor / Windsurf / ClineWhatever you tell itYour stack · your hostingReads project files · ux-skill plugs in here
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- The first five are end-to-end SaaS builders. The sixth row is the open IDE class — the model writes into your own repo, against your own files. Only the IDE class can read a deterministic rules layer from disk, which is why every blog post about the shared fingerprint ends up pointing at that side of the table. -

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The shared fingerprint, named in detail

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- Send the same one-line prompt — "build a marketing site for a finance ops product" — to all six. The output across all six rhymes hard enough that the screenshots are nearly interchangeable. Specifically: -

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  • Body face at display sizes. A geometric grotesk like Inter or Geist is the default body face. The model reaches for the same face at the headline, sized to 88–96 pixels with a 1.0 line-height. The wordmark of every AI-built site reads as a body-typeface display.
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  • A multi-stop gradient over white. A wide gradient with hue spread over 100 degrees — indigo through violet to a blue endpoint, or a pink-to-blue counterpart — over a white or near-white surface. Used on the hero, sometimes on a card border.
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  • A trio of identical cards. Under the hero, on a 3-column grid, with a small icon, a one-word title, and a one-sentence subtitle. The icons are usually three of the same Lucide set: Zap, Shield, Heart, Sparkles, or Cube.
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  • Placeholder copy where product nouns belong. "Build something amazing." "Ship faster." "Beautiful experiences." The headline reads as a Stripe-era pitch deck written by no specific human.
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  • Fade-in-up on every section. Each direct child of every section enters with a 24-pixel upward translate and an opacity fade, on a 600-millisecond timing. No prefers-reduced-motion branch.
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  • Hairline 100-weight body type. Used for subtitles and small UI labels, which renders fine on macOS Retina and breaks on Windows ClearType.
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- None of those are wrong individually. The fingerprint is the combination. The model is not malicious or low-quality. It is reaching for the safest center of its training distribution every single time. -

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Why all six converge

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  1. Training-set bias. The set of public marketing sites from 2021–2024 overweights startup landings from a narrow YC-and-Vercel-adjacent aesthetic. The model learns that aesthetic as the default. Anyone who has read more than ten Show HN comment threads in 2024 has read the same critique of the same trio.
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  2. Reward-model bias. Human raters who graded the post-training output preferred the safe option. Bright gradients and rounded cards score well in side-by-side preference tests. The reward model encodes that preference into the policy.
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  3. Prompt brevity. A short prompt ("build a marketing site for X") leaves every design decision to the model. The model picks the median of its distribution, every time.
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- Each of the six builders has its own system prompt, but the system prompts converge too. They all want the model to ship something demoable in seconds. Demoable in seconds means safe, and safe means the median. -

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The two interventions that actually work

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- Adding ten lines of "do not use a body face at display size" to the system prompt fixes the issue for the first page. It does not fix it for the tenth. Prompt-only steering decays with context length, and every new chat throws the steering away. -

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- The interventions that compound are upstream and downstream of the model: -

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  • Downstream — a deterministic linter. Regex rules that scan the output after the model writes and fail the build if the fingerprint shows up. No LLM judge. No nondeterminism. Sub-second on a 200-file repo.
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- Both interventions sit outside the model. Both work in any IDE that runs on a real filesystem — which is the entire sixth row of the table above. -

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How ux-skill plugs into the IDE class

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- ux-skill is a Python package with three install paths: pip install uxskill, npx uxskill@alpha, or the Claude Code plugin (/plugin install ux@ux-skill). After install, the engine exposes 25 commands across 17 IDEs and ships 120 deterministic regex rules over a 1,243-entry catalog. -

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- The flow inside Claude Code, Cursor, Cline, Continue, Windsurf, Aider, Codex, or Roo Code is the same four steps: -

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  2. ux recommend — five parallel lookups over the 1,243-entry catalog merge into one structured system. Output: tokens.css and manifest.json at the repo root, plus a per-IDE rules file (.cursorrules, CLAUDE.md, .windsurfrules, etc).
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  4. ux lint — the gate. 120 regex rules over the generated code. Zero LLM cost. Exits non-zero on any high or critical finding. Plugs into pre-commit, GitHub Actions, GitLab CI, Husky, or any shell hook.
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The hosted builders — what they can and cannot do

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- v0, Lovable, Bolt, Replit Agent, and Tempo can not read a rules file from your laptop. They can not run a deterministic lint at preview time because there is no filesystem under their preview. The only mitigations available inside those products are: -

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  • Block libraries. Tempo and v0 both ship some pre-made blocks. Picking from a block instead of generating from scratch sidesteps the fingerprint for the picked region.
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- The honest take: if you want to ship a hosted-builder result that does not look like every other hosted-builder result, your last step is always to export. That export will fail the lint on the first run. The lint findings will name the fingerprint by id. Fixing them in your IDE takes minutes. -

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What an exported v0 page looks like under the lint

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$ uxskill lint apps/web/src --threshold high
-[FAIL] 7 findings at threshold high · exit 1
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-  high  font-stretched-display      src/components/Hero.tsx:14
-                                    body face used at display size
-                                    fix: pair the body face with a distinct display face
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-  high  saturated-multi-stop-grad   src/styles/hero.css:38
-                                    wide-spread gradient over white surface
-                                    fix: single restrained accent against neutrals
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-  high  three-equal-card-grid       src/pages/index.tsx:82
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-                                    fix: asymmetric bento or 2-and-1 split
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-  high  filler-marketing-verbs      src/components/Hero.tsx:18
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-                                    fix: name what the product actually does
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-  medium fade-in-up-everywhere      src/components/Section.tsx:24
-                                    fade-in-up applied to every direct child
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-  medium icon-emoji-stamp           src/components/Card.tsx:31
-                                    emoji used as feature icon
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-  medium inline-style-attribute     src/pages/about.tsx:44
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-                                    fix: move to tokens or utility class
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- Seven findings on a 200-line page, all named. The fix lines are written so the model can read them in its next prompt: "fix the inter-as-display finding on Hero.tsx line 14 by pairing the body face with a distinct display face from the recommendation." The next save passes the lint. -

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Comparison — rules layers across the hosted builders

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BuilderSystem prompt controlTokens fileDeterministic lintExport to ux-skill
v0Custom instructions, paid tierNoNoYes — export to Next.js
LovableCustom knowledge fileNoNoYes — export to Vite
Bolt.newSystem prompt inputNoNoYes — export to local
Replit AgentReplit profile, agent.mdLimitedNoYes — pull repo
TempoProject preferencesLimitedNoYes — export to React
Claude Code · Cursor · Windsurf · ClineCLAUDE.md · .cursorrules · etcYes — via ux-skillYes — 120 rules, sub-secondNative
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Honest scope
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This is not an attack on the hosted builders.

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v0, Lovable, Bolt, Replit Agent, and Tempo are excellent at what they do. Going from prompt to running site in two minutes is a real piece of engineering, and the median user benefits enormously from it. The fingerprint problem is architectural, not effort — you can not run a deterministic filesystem lint inside a preview sandbox without a filesystem.

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The honest workflow for serious teams in 2026 is hybrid. Use the hosted builder for the first draft. Export to your IDE. Install ux-skill. Let the rules layer take you from "looks generated" to "looks specific." It is a one-time install, not a per-project cost.

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The repeatable workflow

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- For the hosted-builder users, the loop is: -

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# 1. Generate the first draft inside v0 / Lovable / Bolt / Tempo
-$ <use the hosted builder's prompt UI>
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-$ <the builder's "Download" or "Push to GitHub" action>
-$ cd ./exported-site
-$ git init && git add . && git commit -m "v0 export"
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-$ pip install uxskill
-$ ux init                # detects the IDE, writes the rules file
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-$ ux discover
-$ ux recommend
-$ ux persist save
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-$ ux lint --threshold high
-$ uvx pre-commit install   # or husky, or the GitHub Action
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- Total time on the loop: under fifteen minutes the first run, under ten seconds on every push after that. -

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Where each builder fits today

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- Pick a builder by the job, not by the marketing. -

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  • v0 — best when the destination is Vercel, the stack is Next.js + shadcn/ui, and the deliverable is a marketing-grade landing page. The export is the cleanest in the field.
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  • Lovable — best when you want a working app with auth and a Supabase backend in one prompt. The hosted preview is the most polished of the SaaS class.
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  • Bolt.new — best when stack flexibility matters more than hosting integration. The WebContainer architecture means you can prototype literally any stack in the browser.
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  • Replit Agent — best when you want one product to cover prompt-to-deploy-to-prod — including a backend, scheduled jobs, and a database — without leaving Replit.
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  • Tempo — best when you have a designer who wants to drive the AI from a visual canvas rather than a prompt textarea.
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  • Claude Code / Cursor / Windsurf / Cline — best when the project is going to outlive the prompt, the team uses real source control, and the output needs a deterministic gate. This is where ux-skill lives.
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Related reading

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- Install the rules layer -

Same prompt. Same builder. Different output.

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120 deterministic regex rules, a 1,243-entry catalog, 25 commands across 17 IDEs. Drops in next to v0, Lovable, Bolt, Replit Agent, or Tempo — whichever shipped the first draft. MIT-licensed. No telemetry. No account.

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$ /plugin marketplace add Laith0003/ux-skill
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- Blog · Reference · 2026-05-28 -

The 35 AI design fingerprints every AI coding tool ships by default.

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- Every AI coding tool — Claude Code, Cursor, Windsurf, Copilot, Aider, v0, Bolt — produces the same recognizable defaults when you ask it to design something. Inter at 90px. Indigo-to-blue gradients. Three identical cards. "John Doe" placeholders. fade-in-up on everything. This is the full taxonomy. 35 fingerprints, grouped by category, with the regex that detects each one. -

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By the ux-skill team · 14 min read · Sourced from data/anti-patterns.json

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What a fingerprint is

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- A fingerprint is a pattern the model reaches for when nothing in the context overrides its default. Some fingerprints are inherited from public web data the model was trained on — bootstrap-era card grids, marketing-template heroes. Some are inherited from the trillions of "make me a landing page" tutorials. Some are emergent — the model genuinely thinks Inter at 90px is good display typography because nobody told it otherwise. -

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- The list below is the canonical 35 fingerprints we detect in ux-skill v2's deterministic linter. Each one is a regex over generated source code. Each one has a severity (high, medium, low) tied to how visible it is in the output. Each one has a documented fix. -

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Severity scale

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  • High — visible the moment the page loads. These are the fingerprints that make a designer say "AI made this" within two seconds.
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  • Medium — visible on inspection. Caught by a code reviewer or a careful user. Less embarrassing than high but still drift from craft.
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  • Low — visible only to taste-conscious devs. Won't blow up a launch but signals "no design decision was made here."
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- Typography (3) - Color (6) - Layout (5) - Content (5) - Motion (3) - Accessibility (6) - Quality (7) -
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Typography 3 fingerprints

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Type is the single highest-signal surface in any design. The fingerprints below cover face choice, size, and the system-font escape hatch.

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- inter-as-display -

Inter used as display font

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font-family:\s*['"]?Inter['"]?[^;}]*[;}][^{]*(?:font-size:\s*([4-9]\d|\d{3,})px|\btext-(5xl|6xl|7xl|8xl|9xl)\b)
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Why it's slop: Inter is a body font tuned for screen legibility at small sizes; deployed as display it reads as the default startup-landing fingerprint.

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Fix: Pair Inter (body) with a distinctive display face — Geist, Satoshi, Cabinet Grotesk, General Sans, Outfit, or a brand-specific variable sans.

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System font stack with no chosen typeface

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font-family:\s*(?:-apple-system|BlinkMacSystemFont)[^;]*;
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Why it's slop: Falling back to the system stack alone with no chosen typeface gives up the chance to have any typographic identity.

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Fix: Pick a real face — Geist, Inter, Satoshi, IBM Plex Sans, Cabinet Grotesk. System stack is the absolute last fallback.

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Arbitrary hero font size

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text-\[(?:9[0-9]|1[0-9]{2})px\]|font-size:\s*(?:9[0-9]|1[0-9]{2})px\b
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Why it's slop: Arbitrary px values like text-[90px] or text-[112px] bypass the type scale and signal the size was picked by eye, not by system.

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Fix: Extend the Tailwind theme scale or use clamp() for fluid hero typography. text-6xl/7xl/8xl exist for a reason.

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Color 6 fingerprints

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Color is the loudest fingerprint surface. Indigo-to-blue gradients, purple glow shadows, rainbow gradient text — these are the visible-from-the-back-of-the-room AI tells.

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- purple-to-blue-gradient -

Default purple-to-blue AI gradient

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bg-gradient-to-[a-z]+\s+from-(purple|violet|fuchsia|indigo)-(400|500|600)\s+(?:via-[a-z]+-[0-9]+\s+)?to-(blue|sky|cyan)-(400|500|600)
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Why it's slop: Purple-to-blue gradient on white is the strongest visual fingerprint of unconstrained model output and reads as template-marketplace AI slop.

-

Fix: Use a single restrained accent (Emerald, Electric Blue, Deep Rose, Amber) against neutrals. Keep gradient hue spread under 60 degrees if used at all.

-
- -
-
- gradient-text-rainbow -

Multi-stop gradient text

- medium -
-
(?:bg-clip-text|background-clip:\s*text)[^"';]*(?:bg-gradient-to-[a-z]+\s+from-[a-z]+-[0-9]+\s+via-[a-z]+-[0-9]+\s+to-[a-z]+-[0-9]+)
-

Why it's slop: Three-stop rainbow text on a hero word is the strongest "AI hero" tell after the purple-to-blue gradient.

-

Fix: Use a single solid color for headlines. If gradient text is essential, two stops in analogous hues at modest saturation.

-
- -
-
- card-glow-purple-shadow -

Purple glow shadow on cards

- medium -
-
box-shadow:[^;]*rgba?\(\s*(?:12[0-9]|13[0-9]|14[0-9])[^)]*\)|shadow-(?:purple|violet|fuchsia|indigo)-(?:400|500|600)
-

Why it's slop: Purple-tinted shadows on cards are the second-strongest "AI premium" fingerprint after the gradient itself.

-

Fix: Use neutral diffusion shadow — shadow-[0_20px_40px_-15px_rgba(0,0,0,0.08)]. Color comes from the surface, not the shadow.

-
- -
-
- tailwind-color-named-vague -

Named Tailwind colors with no semantic token

- low -
-
\b(?:bg|text|border|ring|from|to|via)-(?:blue|red|green|yellow|purple|pink|indigo|orange)-(?:400|500|600)\b
-

Why it's slop: Raw bg-blue-500 / bg-purple-500 with no semantic token (primary, success, danger) signals the color system was never designed.

-

Fix: Define semantic tokens in tailwind.config or CSS custom properties — bg-primary, text-success, ring-accent. Map them once.

-
- -
-
- gradient-mesh-purple-pink -

Purple-pink mesh gradient hero

- medium -
-
radial-gradient\([^)]*(?:purple|fuchsia|pink|violet)[^)]*\)|conic-gradient\([^)]*(?:purple|fuchsia|pink|violet)[^)]*\)
-

Why it's slop: Purple-to-pink mesh gradient is the second-most fingerprinted AI-hero pattern after blue-to-purple — pure "I generated a landing page" aesthetic.

-

Fix: Single accent against neutral canvas. If a hero needs depth, layer subtle noise or one low-saturation analogous gradient under 60deg hue spread.

-
- -
-
- dark-text-on-dark-card -

Low-contrast text on card

- high -
-
(?:bg-zinc-[89]00|bg-slate-[89]00|bg-gray-[89]00|bg-black)[^"';]*(?:text-zinc-[5-7]00|text-slate-[5-7]00|text-gray-[5-7]00)
-

Why it's slop: Dark text token (zinc-500/600/700) on a dark surface fails WCAG AA 4.5:1 contrast and signals the dark mode pairing was never tested.

-

Fix: Test contrast on both themes. On dark surfaces use text-zinc-100 to text-zinc-300; reserve 500-700 for tertiary captions on light surfaces.

-
- -

Layout 5 fingerprints

-

The model's default layout vocabulary is small: centered hero, three equal cards, hamburger menu, pill-shaped everything. These are the structural fingerprints.

- -
-
- three-equal-card-grid -

Three equal cards in a row

- high -
-
(?:grid-cols-3|grid-template-columns:\s*repeat\(\s*3\s*,\s*(?:1fr|minmax))[^>]*>(?:\s*<[^>]*card[^>]*>[\s\S]*?</[^>]+>\s*){3}
-

Why it's slop: Three equal cards with three icons and three short paragraphs is the safest default the generator reaches for and the strongest layout fingerprint in AI-generated marketing surfaces.

-

Fix: Use asymmetric layouts — bento grids, 2-and-1 splits, 4 with one spanning width. Vary card size by content priority.

-
- -
-
- centered-everything-hero -

Centered hero composition

- medium -
-
<(?:section|div|header)[^>]*class="[^"]*\bhero\b[^"]*"[^>]*>[\s\S]{0,800}?<h1[^>]*class="[^"]*\btext-center\b[^"]*"
-

Why it's slop: Centered headline + centered subtitle + centered button stack is the laziest hero composition and signals the generator picked it when it couldn't find a better layout.

-

Fix: Use left-aligned hero with editorial 7-5 or 8-4 grid split. Let the imagery earn its own column.

-
- -
-
- avatar-stack-overlapping -

Generic overlapping avatar stack

- medium -
-
class="[^"]*-space-x-[0-9]+[^"]*"[^>]*>(?:\s*<(?:img|div)[^>]*class="[^"]*(?:avatar|rounded-full)[^"]*"[^>]*/?>\s*){3,}
-

Why it's slop: Three overlapping circular avatars in the nav as "our team" or "join 10k users" is a content-marketing template tell.

-

Fix: Use real customer logos, named testimonials with quotes, or specific signal — "Used by 312 engineering teams at Series-A companies."

-
- -
-
- pill-rounded-full-everywhere -

rounded-full applied to everything

- low -
-
<button[^>]*class="[^"]*\brounded-full\b[^"]*"|<(?:input|textarea)[^>]*class="[^"]*\brounded-full\b
-

Why it's slop: rounded-full on every button and input is the iOS-tutorial fingerprint — signals the radius decision was skipped entirely.

-

Fix: rounded-full for pills, avatars, icon buttons only. Use rounded-md or rounded-lg for primary buttons; rounded-xl or rounded-2xl for cards.

-
- -
-
- nav-equal-hamburger-desktop -

Hamburger menu on desktop

- low -
-
<(?:button|div)[^>]*aria-label="(?:menu|navigation|hamburger)"[^>]*>(?![\s\S]*?(?:md:hidden|lg:hidden))
-

Why it's slop: Hamburger on a wide viewport hides nav from users for no reason; signals the responsive breakpoint was skipped.

-

Fix: Show inline nav on md: and up. Hide the hamburger above that breakpoint with md:hidden.

-
- -

Content 5 fingerprints

-

Placeholder copy, fake testimonials, emoji-as-icon, Lorem ipsum that shipped. The model fills empty content slots with patterns it learned from tutorial code.

- -
-
- fake-name-john-doe -

Generic placeholder names

- medium -
-
\b(?:John\s+Doe|Jane\s+Doe|John\s+Smith|Sarah\s+Chan|Test\s+User|Demo\s+User|Foo\s+Bar)\b
-

Why it's slop: John/Jane Doe and their cousins signal that nobody thought about who would actually use the product — immediate AI-generated-tutorial vibe.

-

Fix: Use plausible names that fit the target market — Maya Iqbal, Adam Levin, Wen Zhang, Layla Haddad. Match region for regional products.

-
- -
-
- lorem-ipsum-leak -

Lorem ipsum in shipping code

- high -
-
\b(?:Lorem\s+ipsum|consectetur\s+adipiscing|sed\s+do\s+eiusmod)\b
-

Why it's slop: Lorem ipsum in production source code is unshipped placeholder content — the most obvious draft-state leak.

-

Fix: Write real copy that makes a specific claim about the product. If you can't write it yet, mark the block with a TODO and a content owner.

-
- -
-
- emoji-in-ui -

Emoji used as UI element

- high -
-
<(?:button|a|h[1-6]|span|div|p|li)[^>]*>[^<]*[emoji-range]
-

Why it's slop: Emojis render inconsistently across platforms, ignore brand color, and signal informality where SVG icons signal craft.

-

Fix: Inline SVG from Lucide, Feather, Phosphor, or Heroicons at 1.5–2px stroke with currentColor. Whitelist U+2713 check and U+2318 command only.

-
- -
-
- icon-emoji-stamp -

Emoji used as icon stamp

- high -
-
class="[^"]*(?:icon|stamp|badge|achievement|reward)[^"]*"[^>]*>\s*[emoji-range]
-

Why it's slop: Emoji where an SVG icon belongs breaks brand color, scales poorly, and renders differently on every OS.

-

Fix: Inline SVG icon with currentColor and a consistent stroke width across the surface.

-
- -
-
- testimonial-fake-five-stars -

Hardcoded five-star testimonial

- high -
-
(?:★{5}|★{5}|\*{5})|<(?:span|div|p)[^>]*class="[^"]*stars?[^"]*"[^>]*>\s*(?:★){4,}
-

Why it's slop: Five hardcoded stars next to a fake quote is the lowest-trust pattern on the web; users have learned to discount it on sight.

-

Fix: Show real, named, attributable testimonials with company affiliation and a specific outcome. No star count unless aggregated from a real review system.

-
- -

Motion 3 fingerprints

-

Default durations, default curves, default bouncing arrows. Motion is the most-skipped design dimension and the easiest place to spot AI defaults.

- -
-
- timing-300ms-default -

Default 300ms transition timing

- low -
-
(?:transition(?:-duration)?|animation-duration):\s*300ms\b|duration-300\b
-

Why it's slop: 300ms is the editor default — using it everywhere signals zero motion intent and reads as laziness to anyone who tunes animation curves.

-

Fix: Micro-interactions 150–220ms, complex transitions 250–400ms, exit 60–70% of entry. Pick durations that match the feel, not the default.

-
- -
-
- cubic-bezier-material-only -

Material default easing everywhere

- low -
-
cubic-bezier\(\s*0?\.4\s*,\s*0\s*,\s*0?\.2\s*,\s*1\s*\)
-

Why it's slop: cubic-bezier(0.4, 0, 0.2, 1) is Material Design's default standard ease — using it as the only curve signals no taste decision was made.

-

Fix: Use cubic-bezier(0.16, 1, 0.3, 1) for premium exits, cubic-bezier(0.34, 1.56, 0.64, 1) for playful overshoot, or spring physics.

-
- -
-
- cta-arrow-rightward-bouncing -

Bouncing arrow on CTA

- medium -
-
<(?:button|a)[^>]*>[^<]*(?:→|->|&rarr;)[^<]*</(?:button|a)>|class="[^"]*\banimate-bounce\b
-

Why it's slop: Bouncing arrow on a CTA is the desperate-attention pattern that signals the copy itself isn't doing the work.

-

Fix: Let the CTA copy carry the action (Start a 14-day trial, Read the deployment guide). If you need an arrow, use a static SVG that nudges 2–4px on hover.

-
- -

Accessibility 6 fingerprints

-

Accessibility fingerprints aren't aesthetic — they're WCAG violations the model produces because nothing in the prompt forced it to think about screen readers. These get flagged as high severity because they're shipped bugs, not just bad taste.

- -
-
- inline-svg-no-aria -

SVG without aria-label or aria-hidden

- high -
-
<svg(?![^>]*\baria-label=)(?![^>]*\baria-hidden=)(?![^>]*\brole="presentation")[^>]*>
-

Why it's slop: SVG with no aria-label and no aria-hidden is announced by screen readers as "graphic" with no context — failure of WCAG 1.1.1.

-

Fix: Decorative SVG gets aria-hidden="true". Informative SVG gets aria-label="description" or aria-labelledby pointing to a title element.

-
- -
-
- button-no-type -

Button missing type attribute

- medium -
-
<button(?![^>]*\btype=)[^>]*>
-

Why it's slop: A <button> inside a <form> without type="button" defaults to type="submit" and silently submits the form on every click.

-

Fix: Always set type="button" or type="submit" explicitly. The default is a footgun, not a feature.

-
- -
-
- img-no-alt -

Image missing alt attribute

- high -
-
<img(?![^>]*\balt=)[^>]*/?>
-

Why it's slop: Missing alt breaks screen readers, SEO image indexing, and the broken-image fallback all at once — WCAG 1.1.1 failure.

-

Fix: Every <img> gets alt. Decorative images get alt="" (empty). Informative images get a description a screen reader user would need.

-
- -
-
- link-onclick-no-href -

Anchor with onClick but no href

- high -
-
<a(?![^>]*\bhref=)[^>]*\b(?:onClick|onclick)=
-

Why it's slop: An <a> without href is not focusable by default and is invisible to assistive tech — it looks like a link but behaves like a button.

-

Fix: Use <button> for actions. Use <a href="..."> for navigation. Never an anchor without href as a click target.

-
- -
-
- heading-skip-h1-h3 -

Skipped heading level

- medium -
-
<h1[^>]*>[\s\S]*?</h1>[\s\S]*?<h3[^>]*>(?![\s\S]*?<h2)
-

Why it's slop: Heading hierarchy gaps (h1 then h3, or h3 with no h1/h2 preceding) break the screen-reader landmark tree and the SEO outline.

-

Fix: h1 once per page; nest h2/h3/h4 in order. If you need a small visual heading without a logical level, use a styled <p> instead.

-
- -
-
- infinite-scroll-no-pagination -

Infinite scroll without keyboard fallback

- medium -
-
(?:IntersectionObserver|useInfiniteScroll)[\s\S]{0,500}?(?:loadMore|fetchMore)(?![\s\S]{0,800}?<button[^>]*>(?:Load|Show|More))
-

Why it's slop: Pure infinite scroll with no "Load more" button locks out keyboard users and breaks back-button history — WCAG 2.4 failure plus a usability one.

-

Fix: Ship infinite scroll AND a visible "Load more" button. The button is the keyboard path; the observer is the convenience layer.

-
- -

Quality 7 fingerprints

-

Not strictly design — but they're the draft-state leaks that signal "this code wasn't reviewed." Inline styles, console.log, TODO comments, default shadcn tokens, lazy z-index, untyped any, unused blur.

- -
-
- inline-style-attribute -

Inline style attribute

- medium -
-
<(?:div|span|p|section|article|h[1-6]|button|a|img)[^>]*\sstyle="[^"]+"
-

Why it's slop: Inline style= attributes bypass the design system, defeat caching, and signal the styling decision was made ad hoc.

-

Fix: Use Tailwind utilities, a CSS class, or a styled component. Reserve inline style for runtime-computed values (animated translate, dynamic CSS vars) only.

-
- -
-
- console-log-leak -

console.log in component code

- high -
-
console\.(?:log|warn|debug|info)\s*\(
-

Why it's slop: console.log shipped to production leaks state to anyone with DevTools open and signals the build didn't go through a real review.

-

Fix: Remove debug logs before shipping. If you need structured logging, use a logger module that's tree-shaken out of production builds.

-
- -
-
- todo-fixme-comment -

TODO or FIXME in shipping code

- low -
-
(?://|/\*|<!--)\s*(?:TODO|FIXME|XXX|HACK|WIP|REFACTOR)\b
-

Why it's slop: TODO/FIXME in shipping code is an unresolved promise to the reader and a draft-state leak.

-

Fix: Resolve the TODO before merge, or move it to the issue tracker with a specific owner and date.

-
- -
-
- any-type-leak -

TypeScript any type

- medium -
-
:\s*any(?:\s*[;,)=\]>]|\s*$)|<any[,>]|as\s+any\b
-

Why it's slop: any defeats the type system and signals the type was never figured out — the code is JavaScript pretending to be TypeScript.

-

Fix: Use unknown for genuinely unknown shapes and narrow with type guards. Use a specific interface or generic for everything else.

-
- -
-
- blur-bg-only-decoration -

Backdrop blur with no glass surface

- low -
-
(?:backdrop-blur(?:-(?:sm|md|lg|xl|2xl|3xl))?|backdrop-filter:\s*blur\([^)]+\))(?![^"';]*(?:bg-white/[0-9]|bg-black/[0-9]))
-

Why it's slop: Backdrop blur applied without a translucent surface behind it is GPU work for zero visual benefit — decoration, not design.

-

Fix: Pair backdrop-blur with a translucent fill — bg-white/70 or bg-zinc-950/60. Otherwise remove the blur entirely.

-
- -
-
- shadcn-default-everywhere -

Default shadcn token block unmodified

- low -
-
--background:\s*0\s+0%\s+100%[\s\S]{0,200}--foreground:\s*222\.2\s+84%\s+4\.9%|--radius:\s*0\.5rem;
-

Why it's slop: The default shadcn HSL token block with --radius 0.5rem is recognizable in two seconds by anyone who has shipped one shadcn app.

-

Fix: Customize tokens at init — swap slate for zinc/stone, shift primary to a brand hue, set --radius to 0.625rem or 0.75rem.

-
- -
-
- arbitrary-z-index-9999 -

Lazy z-index value

- medium -
-
z-index:\s*(?:9999+|99999+|2147483647)\b|\bz-\[(?:9999+|99999+)\]
-

Why it's slop: z-index: 9999 is the "I gave up on the stacking system" value — signals there's no z-scale token map and stacking bugs are coming.

-

Fix: Define a z-scale token set (z-base: 0, z-dropdown: 10, z-sticky: 20, z-modal: 50, z-toast: 60). Use the tokens, never a raw 9999.

-
- -

How to run all 35 against your codebase

-

- The full taxonomy ships in ux-skill v2's anti-pattern linter. The CLI runs every rule against your source files and exits non-zero if any high-severity fingerprint matches. Drop it into a pre-commit hook or a CI step. -

-

- Three install paths, same engine: -

-
    -
  • pip install uxskill — Python install. Adds the ux CLI to your PATH.
    • -
  • npx uxskill@alpha lint . — no-install Node wrapper for Cursor / Windsurf / Copilot users.
    • -
  • /plugin marketplace add Laith0003/ux-skill — Claude Code marketplace path.
    • -
-

- Once installed, ux lint --threshold high runs the 35 rules and exits 1 if any high-severity fingerprint is found. The full report is JSON, lined to file and line number. Fix flagged lines with ux fix. -

- -
-
Honesty card
-

35 fingerprints isn't every fingerprint.

-

The list above catches the most recognizable patterns we've seen across Claude Code, Cursor, Windsurf, v0, Bolt, and Aider output. It doesn't catch tone-of-voice slop, microcopy slop, or the layout patterns we haven't quantified yet.

-

The list grows. We add a rule whenever we spot a pattern we can write a regex for and a fix we can recommend. The source file is on GitHub and PRs are open.

-
- -

Why a regex linter instead of a model judge

-

- We chose deterministic regex over LLM-as-judge for two reasons. First, regex runs in milliseconds, in CI, with no API key. Second, regex is reproducible — the same input gives the same output on every run. LLM-as-judge for design is the right shape for ambiguous taste calls, but for "did the model ship Inter at 90px," a regex is faster, cheaper, and never flakes. -

-

- More on why the regex approach beats LLM judgment for fingerprint detection. -

- -
- Every fingerprint above is a constraint the model didn't know to apply. The linter is what tells it the constraint was missed. -
- -

Related reading

- -
- -
- Run the 35 rules in CI -

One linter. 35 regex rules. Non-zero exit on slop.

-

The full taxonomy ships in ux-skill v2. Install via pip, npx, or the Claude Code marketplace. The same Python engine, the same 35 rules, the same JSON report.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
$ ux lint . --threshold high
-
— or —
-
$ npx uxskill@alpha lint .
-
-
-
- - - - -
- - - - - diff --git a/landing/blog/ai-design-system-cli.html b/landing/blog/ai-design-system-cli.html deleted file mode 100644 index 7c402a5..0000000 --- a/landing/blog/ai-design-system-cli.html +++ /dev/null @@ -1,760 +0,0 @@ - - - - - - - - - AI design system CLI — npx and pip way to generate a design system in 10 seconds - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Technical · 2026-05-28 -

AI design system CLI — the npx and pip way to generate a design system in under 60 seconds.

-

- Every other design-system generator ships as a SaaS GUI. ux-skill ships as a CLI. The full pipeline — brief discovery, recommender, token generator, MASTER.md persistence — runs from the terminal in three commands. No browser, no Figma file, no account. Here is the full path from zero to a working tokens file, with timings on a 2023 MacBook Air. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

Why a CLI instead of a GUI

-

- A design system is structured data: type ramp, palette, motion timings, component rules. AI coding tools want that data as JSON or CSS, not as a Figma file or a Notion page. The most direct path is a command that emits the data straight into your project. -

-

- A GUI sits between you and the artifact. Every click is a copy-paste away from the file the model actually reads. The CLI removes the gap — the recommendation lands in tokens.css, manifest.json, and .ux/design-system/MASTER.md, which is exactly where the next Cursor or Claude Code prompt picks them up. -

-

- ux-skill exposes two top-level entry points: ux (short form) and uxskill (the npm-and-PyPI form), plus a dedicated ux-mcp entry for the MCP server. Same engine, two install paths. -

- -

Two install paths, one engine

-

- The package is published to both PyPI (uxskill) and npm (uxskill). The npm package wraps a self-contained Python runtime so JavaScript-side teams without Python tooling still get the full CLI. -

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Install pathCommandCold startBest for
PyPIpip install uxskill~6s oncePython projects, CI, pre-commit hooks
npm (npx)npx uxskill@alpha~12s first runJavaScript or Node monorepos, no Python required
Claude Code plugin/plugin install ux@ux-skill~3sSlash commands inside Claude Code sessions
-
- -

- After install, three commands cover the whole CLI surface for design system generation: ux discover, ux recommend, ux persist save. Every other command (lint, generate, stats, init) plugs into the same brief artifact. -

- -

Step 1 — ux discover (the 10-field forcing function)

-

- ux discover is an interactive prompt. It asks ten questions in a fixed order and saves the answers to .ux/last-discovery.json. The questions are deliberately concrete — "B2B finance ops in MENA" not "business users" — because the recommender uses them as filters against 184 industry entries and 84 style entries. -

- 
$ ux discover
-
-[project_type] Project type
-  hint: landing | marketing-site | app-dashboard | admin-panel | docs | mobile-app | email
-  > landing
-
-[audience] Audience
-  hint: Who specifically — be concrete. Not 'business users'.
-  > B2B logistics ops, MENA-based, 30-50 headcount
-
-[primary_goal] Primary goal of this surface
-  hint: One job. 'Trial signup', 'Pricing comprehension'.
-  > Demo booking
-
-[tone] Tone (3-5 words)
-  hint: warm | editorial | precise | playful | clinical | confident | calm | bold | technical
-  > precise, calm, confident, technical
-
-[must_have] Must-haves (hard constraints)
-  hint: dark-mode | RTL | AA accessibility | mobile-first | print-fidelity
-  > RTL, AA accessibility
-
-[forbidden] Forbidden (anti-list)
-  hint: Default-AI looks to avoid. Be specific.
-  > No gradient hero. No three-up cards. No Inter as display.
-
-[reference_brands] Reference brands (3-5)
-  > Linear, Stripe, Vercel
-
-[stack] Tech stack
-  > nextjs
-
-[region] Region / locale
-  > mena
-
-[success_metric] Success metric
-  hint: How will you know it worked?
-  > Demo booking CR > 6%
-
-Discovery saved to .ux/last-discovery.json
-

- Total time: about 90 seconds if you have the answers in your head, 4 minutes if you are inventing them. The brief itself is the most expensive step — everything downstream is deterministic and sub-second. -

-

- The brief is the contract. Every subsequent command reads .ux/last-discovery.json and produces output keyed to those ten fields. If the brief is sloppy, the recommendation is sloppy. The discovery is the forcing function. -

- -

Step 2 — ux recommend (the 5-parallel-search engine)

-

- The recommender runs five independent searches across the data manifests — industries, styles, palettes, type pairs, motion presets — then merges the scores into one ranked recommendation. The merge is deterministic: same brief, same recommendation, byte-identical output. -

- 
$ ux recommend
-
-[OK] Loaded brief from .ux/last-discovery.json
-[OK] 5 parallel searches complete · 142ms
-
-industry      logistics-saas               (score 0.91 / 184 entries)
-style         editorial-precise            (score 0.87 / 84 entries)
-palette       cool-neutral-amber-accent    (score 0.82 / 176 entries)
-type_pair     fraunces-inter-mono          (score 0.84 / 70 entries)
-motion        restrained-supportive        (score 0.79 / 57 entries)
-
-components    nav, hero, feature-strip, social-proof, demo-form, footer
-brand_refs    Linear, Stripe, Vercel
-guardrails    152 anti-patterns · threshold high
-
-Recommendation saved to .ux/last-recommendation.json
-

- The output is also a JSON file: .ux/last-recommendation.json. Every score has a sub-score breakdown explaining which manifest entries fed it. The recommender is fully documented in the engine post. -

-

- On a 2023 MacBook Air, the recommender pass against all 1,243 entries averages 140 to 220 milliseconds. There is no LLM call in the recommender lane — the scoring is JSON-on-disk and a few hundred dictionary lookups. -

- -

Step 3 — ux persist save (writes MASTER.md)

-

- The final step converts the recommendation into the canonical project artifact: .ux/design-system/MASTER.md. This file is the source of truth that every future AI coding session reads before generating. It has YAML frontmatter for machines and Markdown for humans. -

- 
$ ux persist save --project-root .
-
-[OK] .ux/design-system/MASTER.md written
-[OK] .ux/design-system/tokens.css written
-[OK] .ux/design-system/manifest.json written
-
-  $ head -30 .ux/design-system/MASTER.md
-  ---
-  schema: ux-skill/master/v1
-  generated_at: 2026-05-28T14:32:11Z
-  brief_hash: 8f2c1a...
-  style: editorial-precise
-  palette: cool-neutral-amber-accent
-  type_pair: fraunces-inter-mono
-  motion: restrained-supportive
-  ---
-
-  # Design system — MASTER
-
-  ## Style
-  Editorial-precise. Cool surfaces, single warm accent, generous line height.
-
-  ## Palette
-  surface         #f5f3ee
-  ink             #1c1a17
-  ...
-

- The persistence step is idempotent. Run it twice with the same recommendation and the output is byte-identical. Useful for CI: you can commit the generated files and fail the build on drift. -

- -

The full pipeline timing

-

- End-to-end on a 2023 MacBook Air, fresh checkout, ux-skill already installed: -

- -
    -
  1. Type the brief — about 90 seconds. The bottleneck. Concrete answers cost cognition; you cannot offload this step.
    2. -
  2. Run the recommender — 140 to 220 milliseconds. Five parallel searches over 1,243 entries, merged, scored, returned.
    3. -
  3. Run persist save — under 80 milliseconds. Three files written: MASTER.md, tokens.css, manifest.json.
    4. -
  4. Total CLI compute — under 300 milliseconds. The brief is 100% of the human time; the engine is rounding error.
    5. -
- -

- Total from cd to working tokens.css: under 95 seconds if you know what you are building. The 10-second number in the headline is the engine alone — that is the part that survives every iteration. The first brief is the slow one; every subsequent recommendation is fast. -

- -
- The brief is what makes design hard. The CLI removes everything else. -
- -

What lands in your project

-

- After ux persist save, three files exist that did not exist before: -

-
    -
  • .ux/design-system/MASTER.md — the readable source of truth. Read it in any editor. Cursor and Claude Code will reference it.
    • -
  • .ux/design-system/tokens.css — CSS custom properties for the palette, type ramp, spacing, radius, motion timings. Import it from your app.css or your Tailwind config.
    • -
  • .ux/design-system/manifest.json — the structured form of the recommendation. Consumed by ux lint, ux generate, and the MCP server.
    • -
-

- No other files are touched. The CLI does not write into src/, does not edit your existing CSS, does not install dependencies. The interaction surface is one directory: .ux/. -

- -

The CLI versus a GUI generator

-

- A side by side against the two SaaS-flavored design system generators most teams compare against: -

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Dimensionux-skill CLISaaS GUI generators
Account requiredNoneEmail signup, optional team workspace
Output location.ux/ in your repoDownloadable ZIP after generation
DeterminismSame brief, same output (byte-identical)Variable per session
CI integrationuxskill lint as a stepNone natively
VersioningGit-native — commit the brief, the recommendation, the tokensApp-managed history
CostFree, MIT licensedFree tier with usage caps, paid above
-
- -

Where the CLI ends and Cursor or Claude Code begins

-

- The CLI's job ends at MASTER.md. The next step is the AI coding tool reading that file and generating real components against it. ux-skill provides slash commands (/ux-design, /ux-component, /ux-frame) when you install it as a Claude Code plugin, but the CLI itself is intentionally not a code generator — it is an upstream constraint layer. -

-

- The mental model: ux-skill picks the system; Cursor or Claude builds inside it; ux lint catches drift on the way back. Three lanes, deterministic at the edges, AI in the middle. -

- -
-
Honesty card
-

The CLI is not the differentiator on its own.

-

A few other design system generators have CLIs. What is asymmetric about ux-skill is the engine sitting underneath: 959 structured entries, 120 deterministic regex anti-patterns, 160 brand specs, and an MCP server. The CLI is the most direct way to drive the engine; it is not the engine itself.

-

For a deeper look at why the engine is the actual moat, read the Python design system generator post.

-
- -

Real numbers

-
    -
  • 959 structured entries across 12 JSON manifests. Styles (84), palettes (176), type pairs (70), motion presets (57), components (148), industries (184), chart types (35), tech stacks (25), anti-patterns (68), UX guidelines (112).
    • -
  • 160 brand DESIGN.md specs. Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, plus 84 more.
    • -
  • 25 slash commands when installed as a Claude Code plugin. The same engine functions all run through the CLI subcommands.
    • -
  • 14 MCP tools when run as a stdio server. The CLI and the MCP layer share the recommender, the linter, and the persist machinery.
    • -
  • 14 GitHub stars on Laith0003/ux-skill at the time of writing. Smaller than ui-ux-pro-max-skill (84,005) and taste-skill (25,359). The CLI shape is the bet.
    • -
- -

One minute, end to end

-

- From a fresh clone, with ux-skill already on the path: -

- 
$ cd my-next-app
-$ ux discover    # 90 seconds typing answers
-$ ux recommend   # 200 ms
-$ ux persist save --project-root . # 60 ms
-$ ls .ux/design-system/
-manifest.json  MASTER.md  tokens.css
-

- That is the full design system CLI loop. The brief is the work; the engine is the rounding error. -

-
- -
- Install the CLI -

One command. No browser. No account.

-

Three CLI commands cover the full pipeline: discovery, recommendation, persistence. The engine ships under MIT, runs offline, and writes only into .ux/.

- -
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha
-
— or as a Claude Code plugin —
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/anti-ai-slop-claude-skills.html b/landing/blog/anti-ai-slop-claude-skills.html deleted file mode 100644 index 18fb333..0000000 --- a/landing/blog/anti-ai-slop-claude-skills.html +++ /dev/null @@ -1,874 +0,0 @@ - - - - - - - - - Anti-AI-slop tools for Claude Code in 2026 — the honest ranking - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Anti-AI-slop · 2026-05-28 -

Anti-AI-slop tools for Claude Code in 2026 — the honest ranking.

-

- Every AI coding tool ships the same fingerprints: Inter as display, the recognizable indigo-to-blue hero gradient, three identical cards, generic placeholder identities, "Beautiful experiences" copy. A small ecosystem of skills tries to fix it. This is what each actually does, ranked by approach, not by star count. -

-

By the ux-skill team · 14 min read · MIT-licensed open source

- -

What "AI slop" actually looks like

-

- Before ranking the fixes, let's be specific about what's being fixed. AI design slop is not a vibe — it's a measurable, recurring set of patterns. ux-skill v2 catalogs 35 of them in its linter rules. The most common five: -

- -
-
Fingerprint 01 — typography
-

Inter as display

-

Inter is a UI body font. AI defaults use it at 72px, 90px, 120px with line-height 1.0. Real display work uses a contrasting serif, a geometric grotesque, or Inter at 32px max. Linter rule: font-size > 64px && font-family: Inter.

-
- -
-
Fingerprint 02 — color
-

The indigo-to-blue gradient

-

Purple-to-blue diagonal gradient at 135deg. It's in every AI demo, every landing page generation, every dashboard mock. Tailwind's default "indigo to blue" combo is the lazy default. Linter rule: regex matches the recognizable hex pair inside a linear gradient call.

-
- -
-
Fingerprint 03 — layout
-

Three identical card grids

-

Hero, then a three-card row with identical heights, identical icons in the top-left, identical button placement at the bottom. Visual rhythm is dead on arrival. Linter rule: detects grid-cols-3 with three near-identical card components in sequence.

-
- -
-
Fingerprint 04 — copy
-

Placeholder identities + "Beautiful experiences"

-

Generic stock names, fake test emails, classic filler paragraphs, "Beautiful experiences", "Build something amazing", "Seamless and intuitive", "Reimagine the future of." The copy gives the model away. Linter rule: regex pass over rendered text.

-
- -
-
Fingerprint 05 — motion
-

fade-in-up everything, 0.3s ease-out

-

Every element fades in from below with the same duration and easing. No staggering, no variance, no purpose. Real motion has hierarchy: hero opens, supporting content cascades, body content settles. Linter rule: scans CSS for repeated fadeInUp 0.3s ease-out across siblings.

-
- -

- These are five of 35. The full list catalogs heavy drop shadows on cards, blur-glass overlays on every section, identical icon weights from lucide-react default, axis-aligned 4-up bento grids, "Get started" + "Learn more" button pairs in every hero, and the rest. A taste prompt asks the model to avoid them. A linter rejects code that contains them. -

- -

The five anti-slop tools, ranked by approach

-

- We're ranking by what each tool actually does — not by stars. Star count appears in each card. The approaches fall into three buckets: prompt-only (gives the model an instruction), variant-prompt (gives the model a flavored instruction), and deterministic (runs regex over the output and fails on violation). -

- -
-

1. leonxlnx/taste-skill

-
25,202 stars · variant-prompt · Bash + markdown
-

The brand name in the space. Owns the "anti-slop" identity. 13 variant SKILL.md files with a 3-dial mental model: DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY. You pick a variant, it loads a flavored taste prompt.

-

From their README: "gives your AI good taste. stops boring slop."

- -

Approach

-

Prompt with flavor selection. The 3 dials give users a memorable mental model — vary the model's defaults along three axes. No deterministic check.

- -

Where it wins

-

Brand discipline. They earned the "anti-slop" identity by being early and consistent. The 3-dial framing is the clearest user model in the category.

- -

Where it doesn't catch slop

-

The variants are flavors of taste, not enforcement. Same prompt produces different outputs every run because the rules live in LLM judgment. No CI gate possible. No way to assert that a fingerprint is absent from the output.

-
- -
-

2. Nutlope/hallmark

-
2,164 stars · prompt + skill packs · skills/ + site/ + docs/
-

Hassan El Mghari's "Anti-AI-slop design skill for Claude Code, Cursor, Codex." Multi-IDE skill pack with a Vercel-hosted site. Skill manifests for each environment.

-

From their site: "Stop building AI slop. Start building beautiful, distinctive interfaces."

- -

Approach

-

Curated skill prompt distributed as a SKILL.md pack. Multi-IDE intent (Claude Code, Cursor, Codex). The skills folder is the unit; each contains taste-loaded guidance.

- -

Where it wins

-

Strong brand presence from Nutlope's audience reach. Clean install across three IDEs. The taste calls in the prompt are sharp — specific bans on the recognizable fingerprints.

- -

Where it doesn't catch slop

-

Same as taste-skill: prompt-based. No regex pass. The prompt sets a high bar; whether the model meets it varies. Repeated runs of the same brief produce inconsistent outputs.

-
- -
-

3. alchaincyf/huashu-design

-
15,455 stars · single 62KB SKILL.md · references + scripts
-

One large SKILL.md with referenced philosophy files and Python scripts for hi-fi prototype generation. Includes a 5-dimension review system, 20 design philosophies, and an MP4 export pipeline.

-

From their README (translated): "hi-fi prototypes, slides, animations, 20 design philosophies, 5-dim review, MP4 export."

- -

Approach

-

Massive single-file skill with referenced data. Philosophy-first — the skill loads a chosen design school (Bauhaus, Memphis, neo-brutalism, Swiss, etc.) and generates inside that frame.

- -

Where it wins

-

The philosophy library is genuinely deep. 20 named schools with rationale. The 5-dimension review (visual, structural, hierarchy, motion, copy) is a clear rubric.

- -

Where it doesn't catch slop

-

The 5-dim review is rubric-shaped (1-5 scores), not deterministic. Two reviewers will score the same output differently. Catches taste, not fingerprints. No CI integration.

-
- -
-

4. ui-ux-pro-max-skill (implicit anti-slop)

-
83,958 stars · catalog-driven · Python recommender
-

Not branded as anti-slop, but the architecture works against it: a recommender that returns a named style + palette + type pairing makes the model commit to a system rather than reach for defaults. Catalog defense is a form of slop defense.

- -

Approach

-

Force a system selection before generation. The recommender returns one of ~50 styles, one of 161 palettes, one of 57 type pairings. The model can't fall back to Inter + indigo gradient if it's been handed a different system.

- -

Where it wins

-

Forcing system selection works. If the recommender returns "Swiss editorial + warm cream + Cormorant/Inter pair," the model can't drift to the Inter-90px gradient stack.

- -

Where it doesn't catch slop

-

The recommender doesn't audit. If the model partially ignores the system (uses the palette but reverts to Inter + 90px), nothing catches the drift. Indirect defense, not direct.

-
- -
-

5. ux-skill v2

-
14 stars · deterministic regex linter · Python engine + 11 manifests
-

Catalog-driven recommender (same architecture as ui-ux-pro-max) plus a 120-rule Python linter that runs against generated code and exits non-zero on violation. The only tool in this list with a CI-ready slop gate.

-

From the v2 release notes: "1,182 structured entries, 100 anti-pattern regex rules, 131 brand DESIGN.md specs."

- -

Approach

-

Three layers stacked: (a) force a system via the recommender, (b) specify constraints via brand specs, (c) verify output via the regex linter. If the model produces Inter at 90px, ux lint finds it and exits 1.

- -

Where it wins

-

Deterministic. Same input, same output. Runs in CI. Same regex catches the same pattern every time. Composable — the 35 rules can be extended, the linter is open Python. No LLM judgment in the audit lane.

- -

Where it loses (be honest)

-

14 stars vs taste-skill's 25k. We're new (v2.0.0-alpha.1 a few weeks ago). Brand awareness is the gap. The architecture is the answer.

-
- -

Prompt-only vs deterministic — the approach matrix

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ToolApproachCatches slop at…CI-able?Repeatable?
taste-skillVariant promptGeneration timeNoLLM-dependent
hallmarkCurated promptGeneration timeNoLLM-dependent
huashu-designPhilosophy-first + 5-dim rubricGeneration + reviewNo (rubric is human)Rubric-dependent
ui-ux-pro-maxRecommender (catalog defense)Generation timeNoRecommendation is deterministic; output isn't
ux-skill v2Recommender + regex linterGeneration + audit timeYes — exit 1 on violation100% deterministic in audit lane
-
- -

CI integration — only one tool has it

-

- The category of tooling around AI-coded design has been prompt-shaped because LLMs are how the design lands. But once the design lands, it's code. Code can be linted. ux-skill v2 is the only tool in this list that completes the loop. -

- -

- In a GitHub Action, the slop gate looks like this: -

- -
-
$ pip install uxskill
-
$ ux lint ./src --threshold high
-
→ exit 1 if any high-severity fingerprint detected
-
→ outputs file:line:rule for each hit
-
- -

- Drop that in a PR check workflow and AI-coded design output gets the same treatment ESLint gives JS. The 35 rules cover typography, color, layout, copy, motion, density. They don't catch everything — taste is still LLM judgment — but they catch the recognizable defaults that scream "AI generated." -

- -

Which to pick

- -
-
Pick by use case
-

Three reasonable picks depending on your stage

-

Hackathon / weekend project — pick taste-skill or hallmark. Zero setup, prompt loads in one paste, output is "better than default." Don't overbuild.

-

Production interface with a known brand — pick ux-skill v2 for the brand specs (Apple, Stripe, Linear, Figma, etc.) and the deterministic lint pass. The recommender locks the system; the linter rejects drift.

-

You want the most-installed tool with active community — pick ui-ux-pro-max. 84k stars, weekly updates, real momentum. Pair it with ux-skill's linter if you want CI defense on top.

-
- -

Two things every tool in this list agrees on

-

- Despite different approaches, the five tools converge on two truths: -

-
    -
  1. The fingerprints are real and shared. Every tool fights the same 30-50 recognizable AI design defaults. The list isn't subjective; it's catalogable.
    2. -
  2. Catalog over taste-prompt is the right shape. Four of the five tools in this list use structured data of some kind — manifests, philosophy files, variant SKILL.md, brand specs. Pure prompt-only is the weakest approach.
    3. -
- -

- The disagreement is on where to apply the rules: at generation (prompt) or at audit (linter). Both are needed. ux-skill v2's bet is that only the audit lane is deterministic enough to gate a CI pipeline. -

- -
- Taste lives in the model. Slop lives in the output. A prompt fights taste. A linter fights slop. -
- -

If you only install one

-

- For a working developer shipping AI-coded design into production: install ux-skill v2 for the linter and pair it with whatever prompt-side tool fits your IDE. The combo gives you forcing-function recommendation, brand-language constraints, and a CI gate on the result. -

-

- For a designer prompting for taste in a single Claude conversation: install taste-skill or hallmark. They land the most aesthetic improvement per minute of setup. -

-
- -
- Pick your install path -

The 120-rule linter. Three channels. CI-ready.

-

Install ux-skill v2 and add ux lint --threshold high to your PR check workflow. Slop gets a non-zero exit, not a polite warning.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - -
- - - - - - diff --git a/landing/blog/anti-slop-cli-vibe-coders.html b/landing/blog/anti-slop-cli-vibe-coders.html deleted file mode 100644 index 9452311..0000000 --- a/landing/blog/anti-slop-cli-vibe-coders.html +++ /dev/null @@ -1,725 +0,0 @@ - - - - - - - - - The anti-slop CLI for vibe coders — 120 rules, no LLM, runs in CI - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · CLI · 2026-05-28 -

The anti-slop CLI for vibe coders — 120 rules, no LLM, runs in CI.

-

- The vibe coder's tool belt is a hand-rolled set of CLI primitives. Cursor, Claude Code, Cline, Aider, Codex — the model writes; the developer reviews. The missing piece is a deterministic gate that catches the AI design fingerprint before it merges. Not an LLM judge. Not a SaaS dashboard. A command-line linter that runs in milliseconds, plugs into pre-commit, and exits non-zero on a finding. Here is the engineering write-up. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

Why a CLI is the right shape for vibe coding

-

- Vibe coding sits inside an existing developer toolchain: git, a package manager, an IDE that shells out, a hook runner. The toolchain is text in and text out. A SaaS dashboard or a Figma plugin is the wrong shape — it sits next to the toolchain instead of inside it. Anything that interrupts the keyboard-only loop costs more than the time the loop saved. -

-

- The CLI shape gets four things for free: composability with shell pipelines, native pre-commit integration, native CI integration, and no auth handshake. A command that reads files and exits non-zero is the most boring API surface on a developer laptop, which is exactly why it is the right one. -

-

- ux-skill's ux lint command is built on those constraints. One binary entry point. JSON or human-readable output. Configurable threshold. No network call. No background daemon. -

- -

The architecture in one paragraph

-

- The package is a Python wheel published to PyPI under the name uxskill, with an npm wrapper that vendors a self-contained Python runtime so JavaScript teams without Python tooling still get the same CLI. Inside, the engine loads data/anti-patterns.json — 100 entries today, each a regex with a severity, category, scope, and fix string. The scanner walks the target directory, filters by file extension against each rule's scope, runs each regex against the matching files, and emits a structured findings array. The CLI prints the array as a JSON document or a human-readable list. Findings at or above the threshold cause a non-zero exit. -

-

- Nothing about the architecture is novel. The engineering work is in the catalog, the test suite, and the cross-IDE distribution — not in the runner. 75 unit tests cover the rule loader, the scope filter, the regex compiler, the threshold gate, and the JSON output format. Every release ships a green test matrix on Python 3.10, 3.11, 3.12, and 3.13. -

- -

The command surface

-

- The lint subcommand is the most-used. Three modes cover every real use case: -

- 
# Mode 1 — default: scan ./, threshold high, exit non-zero on findings
-$ uxskill lint
-[OK] Scanned 142 files in 412ms · 0 findings at threshold high
-
-# Mode 2 — scan a subtree, lower the threshold
-$ uxskill lint apps/web/src --threshold medium
-
-# Mode 3 — JSON output, scan only staged files (used by pre-commit)
-$ uxskill lint --json --staged | jq '.findings | length'
- -

- Flags that matter day to day: -

-
    -
  • --threshold <low|medium|high|critical> — only count findings at or above this severity. Default is high.
    • -
  • --json — emit a JSON document instead of human-readable output. Used by CI and editor plugins.
    • -
  • --staged — scan only files staged in git. The right mode for pre-commit.
    • -
  • --rules <id,id,id> — restrict the scan to a comma-separated list of rule ids. Useful for targeted CI jobs.
    • -
  • --ignore <id,id> — suppress specific rule ids. Each ignore should land with a comment in the repo's .uxskillignore file explaining why.
    • -
  • --report <path> — write the JSON report to a file. Used by CI artifact upload.
    • -
- -

The JSON shape

-

- The output schema is stable. Editor plugins, CI dashboards, and IDE integrations rely on it. -

- 
{
-  "files_scanned": 142,
-  "rules_loaded": 100,
-  "exit_code": 1,
-  "findings": [
-    {
-      "rule_id": "font-stretched-display",
-      "rule_name": "Body face used at display size",
-      "severity": "high",
-      "category": "Typography",
-      "file": "src/components/Hero.tsx",
-      "line": 18,
-      "column": 12,
-      "excerpt": "font-['Inter'] text-7xl leading-none",
-      "fix": "Pair the body face with a distinct display face"
-    }
-  ]
-}
- -

- Every field is documented in docs/schema/findings.md. The schema is versioned via the schema_version field in data/anti-patterns.json — consumers can pin to a major version and trust that minor versions are additive. -

- -

Pre-commit, GitHub Actions, GitLab CI, Husky, Lefthook

-

- Five integration recipes, all built on the same exit-code contract. Pick the one that matches your hook runner; the rest is identical. -

- -

pre-commit (Python ecosystem)

- 
# .pre-commit-config.yaml
-repos:
-  - repo: local
-    hooks:
-      - id: uxskill-lint
-        name: ux-skill anti-pattern lint
-        entry: uxskill lint --threshold high --staged
-        language: python
-        additional_dependencies: [uxskill]
-        files: \.(tsx|jsx|vue|css|scss|html|astro|blade)$
-        pass_filenames: true
- -

GitHub Actions

- 
# .github/workflows/ux-lint.yml
-name: ux-lint
-on: {pull_request: {}, push: {branches: [main]}}
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
-        with: {python-version: '3.11'}
-      - run: pip install uxskill
-      - run: uxskill lint --threshold high --report lint.json
-      - if: failure()
-        uses: actions/upload-artifact@v4
-        with: {name: ux-lint-report, path: lint.json}
- -

GitLab CI

- 
# .gitlab-ci.yml
-ux-lint:
-  image: python:3.11-slim
-  stage: test
-  script:
-    - pip install uxskill
-    - uxskill lint --threshold high --report lint.json
-  artifacts:
-    when: on_failure
-    paths: [lint.json]
- -

Husky (Node ecosystem)

- 
# .husky/pre-commit
-#!/usr/bin/env sh
-. "$(dirname -- "$0")/_/husky.sh"
-
-npx uxskill@latest lint --threshold high --staged || exit 1
- -

Lefthook (multi-language)

- 
# lefthook.yml
-pre-commit:
-  commands:
-    ux-lint:
-      glob: '*.{tsx,jsx,vue,css,scss,html,astro,blade}'
-      run: uxskill lint --threshold high --staged {staged_files}
- -

- Every recipe uses the same flags. The contract is the exit code; everything else is decoration. -

- -

Performance, measured honestly

-

- Numbers from a 2023 MacBook Air, M2, scanning a Next.js repo with 200 components, 84 stylesheets, and 12 megabytes of source under apps/web/src: -

-
- - - - - - - - - - - - - - - - -
ScenarioFiles scannedRules loadedWall time
Cold start, full repo342100412 ms
Warm, full repo34210096 ms
Warm, staged diff (8 files)810018 ms
Warm, single file11007 ms
GitHub Actions, cold runner342100~7.2 s (incl. pip install)
-
-

- The pre-commit path is the one developers feel. Eighteen milliseconds for the staged-diff case is comfortably under the perceptual threshold — the hook is invisible. -

- -
- Make the slow path good and the fast path invisible. The CLI is the fast path. -
- -

What the 120 rules cover

-

- The catalog is grouped by category. The counts are current as of v2.1: -

- -
- - - - - - - - - - - - - - - - - - - - -
CategoryCountWhat it catches
A11y28Alt text, focus styles, click target size, color-only state, ARIA on interactive elements, viewport that blocks pinch-zoom.
Content16Generic placeholder names, sample copy leaks, marketing verbs in headlines, fake testimonial stars, placeholder pricing.
Typography14Body face at display sizes, hairline body weights, rainbow gradient on text, all-caps body, missing font-feature-settings.
Color12Default AI gradient over white, chrome-y multi-stop gradients, neon on light surfaces, low-contrast text on cards.
Quality10Inline style attribute on shipping components, console.log leaks, dead imports, hardcoded pixels where tokens exist.
Layout8Three equal cards in a row, full-bleed gradient hero, centered-everything axis, 100vh without 100dvh fallback.
Motion6Fade-in-up on every direct child, no reduced-motion branch, animating layout properties instead of transform.
Visual4Drop shadows on flat designs, blur backdrops without fallback, gratuitous neumorphism, glassmorphism on white.
Performance2Animating layout properties, animating filters in scroll handlers.
Total100From 35 at v2.0.0 launch to 100 in the v2.1 cycle.
-
- -

The recommender is the upstream half

-

- The linter is the downstream half of the loop. The upstream half is ux recommend — five parallel lookups over a 1,243-entry catalog merged into a single structured design system. The recommender narrows the model's choices before the prompt; the linter punishes the model when the choices slip anyway. -

-

- Both halves share one source-of-truth document at .ux/design-system/MASTER.md. Every IDE's rules file (.cursorrules, CLAUDE.md, .windsurfrules) is generated from that document. There is one place to look when something is wrong, one place to edit when something needs to change. -

-

- Read more in the recommender write-up and the regex-linter engineering post. -

- -
-
Honest scope
-

The CLI is the floor, not the ceiling.

-

The linter catches structural fingerprints — literal tokens, class names, hex values, DOM shapes. It does not catch "the section rhythm is wrong" or "the copy reads cold." Those need a review pass, by a human or a stronger model. The CLI is the deterministic floor; /ux-critique ships in the same package for the taste pass.

-

The reason the CLI never calls an LLM is the same reason a unit test never calls an LLM. Reproducibility is the entire value proposition. If the lint result depends on a model's mood, the lint is no longer a lint — it is a recommendation, and recommendations belong in a different layer.

-
- -

What lives in .uxskillignore

-

- Every codebase has legitimate edge cases. A design tool that needs to render an emoji literal. A docs page that quotes a regex pattern. A demo file that shows the wrong-way example. The .uxskillignore file is a per-repo list of rule-and-path pairs, each with a required reason: -

- 
# .uxskillignore
-# Demo page documents what NOT to do; the lint trips on its own examples.
-docs/anti-patterns.html                font-stretched-display, default-ai-gradient
-
-# Inline SVG icon stamps are legitimate in this design system.
-src/components/Stamp.tsx               icon-emoji-stamp
-
-# Story file for Chromatic visual diffs.
-src/**/*.stories.tsx                   fade-in-up-everywhere
- -

- The format is two columns: a glob and a comma-separated rule id list. Anything to the right of a # is treated as a comment. The required-reason convention is enforced by code review, not by the parser. -

- -

Cross-IDE distribution

-

- The CLI is one package; every IDE that shells out reaches the same engine. Specifically: -

-
    -
  • Claude Code — /plugin install ux@ux-skill; slash commands map to the CLI subcommands.
    • -
  • Cursor — npx uxskill@alpha init; emits .cursorrules and registers a pre-commit hook.
    • -
  • Windsurf — same npx initializer; emits .windsurfrules.
    • -
  • Cline · Continue · Aider · Codex · Roo Code — read whatever rules file is at the repo root. The CLI emits all three formats from the same recommendation.
    • -
  • JetBrains · Zed · GitHub Copilot · Gemini Code Assist — same story. The CLI does not care which editor is on the other side of the file.
    • -
-

- Walkthroughs for each: - Cursor, - Windsurf, - Zed, - JetBrains, - GitHub Copilot. -

- -

The vibe coder's tool belt, one slot at a time

-

- Every serious vibe coder ends up with the same five things in their belt by month two: a strong IDE (Cursor or Claude Code), a hook runner (pre-commit, Husky, or Lefthook), an LLM router (Aider, Continue, or Codex), an MCP server or two (sequential thinking, GitHub, filesystem), and a deterministic gate for the output. ux-skill is built for the last slot — the gate. -

-

- 14 stars on GitHub at time of writing, against 84k for the largest competitor in the marketplace. The fight is not for the headline number, it is for the slot. Once the gate is in the belt, the rest of the loop compounds. -

- -

Related reading

- -
- -
- Install the gate -

One CLI. Three install paths. No LLM.

-

120 deterministic regex rules, a 1,243-entry catalog, 25 commands across 17 IDEs. Plugs into pre-commit, Husky, Lefthook, GitHub Actions, GitLab CI. MIT-licensed. No telemetry. No account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/best-claude-code-design-skills-2026.html b/landing/blog/best-claude-code-design-skills-2026.html deleted file mode 100644 index 787b6c9..0000000 --- a/landing/blog/best-claude-code-design-skills-2026.html +++ /dev/null @@ -1,878 +0,0 @@ - - - - - - - - - Best Claude Code skills for UX/UI design — 2026 ranking - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Ranking · 2026-05-28 -

Best Claude Code skills for UX/UI design — 2026 ranking.

-

- The Claude Code skill ecosystem has eight design-focused plugins worth installing in 2026. Star counts below are live from GitHub on 2026-05-28. Each card lists what the skill is great at, what it lacks, who should pick it, and how to install it. No marketing spin. -

-

By the ux-skill team · 10 min read · MIT-licensed open source

- -

How we ranked

-

- Not by stars. Stars correlate with awareness, not fit. We ranked by scope of capability — how much of a real designer's day the skill covers — and broke ties with depth of catalog. The top three could each be #1 for a different user. We say who should pick which. -

-

- The skills below are: ui-ux-pro-max-skill, open-design, taste-skill, huashu-design, stitch-skills, ux-skill v2, hallmark, and material-3-skill. We left off skills with fewer than 500 stars and skills not directly focused on UI/UX design (general taste, vibe-coding helpers, etc.). -

-
-
- -
- -
- 01 -

ui-ux-pro-max-skill

-
nextlevelbuilder/ui-ux-pro-max-skill · MIT
-
-
83,958GitHub stars
-
~600structured entries
-
~50design styles
-
161industries
-
-
"design intelligence for building professional UI/UX"
-

What it's great at

-

The catalog. A Python recommender that returns a design system (style + palette + type + industry rules) in one call. The five-parallel-search architecture is the cleanest implementation of "queryable design taste" in the ecosystem and the community has voted on it heavily.

-

What it lacks

-

No deterministic linter. No brand-specific output beyond category-level styles. Single-skill invocation rather than a chained pipeline. Limited to Claude Code primarily.

-

Pick if

-

You want the most-installed, best-supported UX skill on GitHub and your workflow is "ask for a system, generate from system" in Claude Code.

-
- $ /plugin install ui-ux-pro-max@nextlevelbuilder -
- github.com/nextlevelbuilder/ui-ux-pro-max-skill -
- -
- 02 -

open-design

-
nexu-io/open-design · MIT
-
-
54,406GitHub stars
-
19skills
-
71design systems
-
11README locales
-
-
"19 Skills · 71 Design Systems · Sandboxed preview · HTML/PDF/PPTX/MP4 export"
-

What it's great at

-

Scope. 19 distinct skills covering generation, preview, and multi-format export. Sandboxed preview is a real differentiator — most skills generate without showing. The export to PDF / PPTX / MP4 makes it a true presentation pipeline. AGENTS.md architecture means it's also usable with Cursor and other AI tools.

-

What it lacks

-

No anti-AI-slop linter. The 71 design systems are flavors, not deeply enforced brand languages. Heavy install footprint (Node project with sandbox runtime).

-

Pick if

-

You need design output you'll present — slide decks, hi-fi prototypes, video walkthroughs — and you want a sandbox preview before committing.

-
- $ /plugin install open-design@nexu-io -
- github.com/nexu-io/open-design -
- -
- 03 -

taste-skill

-
Leonxlnx/taste-skill · MIT
-
-
25,202GitHub stars
-
13SKILL variants
-
3dial mental model
-
-
"gives your AI good taste. stops boring slop."
-

What it's great at

-

Brand discipline. They own the "anti-slop" identity in the Claude skill space and earned it by being early and consistent. The 3-dial mental model (DESIGN_VARIANCE, MOTION_INTENSITY, VISUAL_DENSITY) is the clearest user-facing abstraction in the category. Research-backed prompt with citations.

-

What it lacks

-

The 13 variants are flavors of taste, not a pipeline. No structured manifests. No linter. No CI integration. Bash + markdown only.

-

Pick if

-

You want a fast taste primer that's earned its reputation, your workflow is single-shot, and you've decided which variant matches your project.

-
- $ /plugin install taste-skill@Leonxlnx -
- github.com/Leonxlnx/taste-skill -
- -
- 04 -

huashu-design

-
alchaincyf/huashu-design · MIT
-
-
15,455GitHub stars
-
20design philosophies
-
5dim review
-
62KBsingle SKILL.md
-
-
"hi-fi prototypes, slides, animations, 20 design philosophies, 5-dim review, MP4 export"
-

What it's great at

-

Philosophy-first generation. The 20 named design schools (Bauhaus, Swiss, Memphis, neo-brutalism, etc.) give the model a coherent frame to generate inside, not a loose taste vector. The 5-dimension review (visual, structural, hierarchy, motion, copy) is a clear rubric.

-

What it lacks

-

Single-file SKILL.md (62KB) is hard to extend. The 5-dim rubric is human-scored, not deterministic. No structured manifests outside the prose. No cross-IDE.

-

Pick if

-

You're an enthusiast picking a design school for a project (Memphis revival, neo-brutalism, Swiss editorial, etc.) and want the philosophy baked in.

-
- $ /plugin install huashu-design@alchaincyf -
- github.com/alchaincyf/huashu-design -
- -
- 05 -

stitch-skills

-
google-labs-code/stitch-skills · Apache-2.0
-
-
5,762GitHub stars
-
Googleaffiliation
-
MCPserver-backed
-
-
"Skills library wired to the Stitch design MCP server"
-

What it's great at

-

Trust signal. It's Google-affiliated (Google Labs Code org). The skill library is wired to Stitch's MCP server, so it can fetch live design system data rather than ship static manifests. Useful if you're already in the Google design tooling ecosystem.

-

What it lacks

-

Requires the Stitch MCP server (network dependency). Smaller catalog than ui-ux-pro-max or ux-skill. No anti-slop discipline. Apache-2.0 is a slightly heavier license than MIT for some users.

-

Pick if

-

You're using Stitch already, you want a Google-affiliated official-flavored option, and you're comfortable with an MCP-server dependency.

-
- $ /plugin install stitch@google-labs-code -
- github.com/google-labs-code/stitch-skills -
- -
- 06 -

ux-skill v2

-
Laith0003/ux-skill · MIT
-
-
14GitHub stars
-
998structured entries
-
35linter rules
-
72brand specs
-
22slash commands
-
17IDEs
-
-
"Python engine + 12 JSON manifests + 25 slash commands + 5 sub-agents + 120-rule deterministic linter + 160 brand DESIGN.md specs."
-

What it's great at

-

Architecture and rigor. Same Python recommender pattern as ui-ux-pro-max, plus four nets new — a deterministic regex linter, 72 named brand DESIGN.md specs, 57 motion presets, 148-component catalog. Pipeline-shaped: discover → recommend → generate → lint → polish, with state files chaining commands.

-

What it lacks

-

Awareness. 14 stars vs the leader's 84,000. v2 is alpha (2.0.0-alpha.1 a few weeks ago). Solo-maintained. No community contributor base yet. If you need momentum, install the leaders.

-

Pick if

-

You want a CI-gateable deterministic linter, you're building inside a named brand language (Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify…), or you're outside Claude Code in Cursor / Windsurf / Copilot / Gemini / Aider.

-
- $ /plugin marketplace add Laith0003/ux-skill
- $ /plugin install ux@ux-skill -
- github.com/Laith0003/ux-skill -
- -
- 07 -

hallmark

-
Nutlope/hallmark · MIT
-
-
2,164GitHub stars
-
3IDEs supported
-
Vercelhosted site
-
-
"Anti-AI-slop design skill for Claude Code, Cursor, Codex."
-

What it's great at

-

Distribution. Hassan El Mghari's reach gives it strong install momentum. Multi-IDE intent from day one — Claude Code, Cursor, Codex. Clean Vercel-hosted landing site, real product polish.

-

What it lacks

-

Prompt-based, no linter. The anti-slop posture is in the prompt, not enforced on output. Smaller manifest depth than the leaders. No discovery step or chained pipeline.

-

Pick if

-

You like Nutlope's other open-source work and want an anti-slop skill that works across Claude Code, Cursor, and Codex without setup.

-
- $ /plugin install hallmark@Nutlope -
- github.com/Nutlope/hallmark -
- -
- 08 -

material-3-skill

-
hamen/material-3-skill · MIT
-
-
955GitHub stars
-
30+components
-
MD3audit pass
-
-
"30+ components, design tokens, theming, MD3 audit"
-

What it's great at

-

Single-system depth. Knows Material Design 3 thoroughly — tokens, components, theming rules, the MD3 audit. If you're committing to MD3 for an Android-first product or a Flutter app, this is the most specialized skill in the list.

-

What it lacks

-

Single-system scope. It's only useful if you've already chosen Material 3. No recommendation lane, no anti-slop, no brand language outside MD3.

-

Pick if

-

You've committed to Material 3 for a Flutter or Android product and want a deep, specialized skill for that exact system.

-
- $ /plugin install material-3-skill@hamen -
- github.com/hamen/material-3-skill -
-
- -
-
-

How to choose — by problem, not by stars

-

- The 2x2 below picks the right skill based on what you're actually solving for. If your axis is awareness, install the leaders. If your axis is depth or fit, look at where you land. -

- -
-
-
Quadrant 1
-
Generic catalog + community
-
You want depth in the recommender and the most-installed option. Install ui-ux-pro-max.
-
-
-
Quadrant 2
-
Presentation pipeline
-
You need to ship a deck, prototype, or video walkthrough out of the AI. Install open-design.
-
-
-
Quadrant 3
-
Anti-slop primer (single-shot)
-
You want a taste-loaded prompt for a one-off generation. Install taste-skill or hallmark.
-
-
-
Quadrant 4
-
CI-gated brand language
-
You're building inside a brand (Apple / Stripe / Linear / Figma / etc.) and need a deterministic linter that fails on AI fingerprints. Install ux-skill v2.
-
-
- -

Can you install more than one?

-

- Yes — and most working developers do. -

-

- ui-ux-pro-max gives you the strongest recommender. ux-skill v2 gives you the only deterministic linter. taste-skill gives you the cleanest one-paste taste primer. They compose: run the recommendation, generate inside the brand spec, lint the output, ship. -

-

- The category isn't winner-take-all. Skills are small, MIT-licensed, and load on demand. Install three or four; pick by the surface of work you're doing right now. -

- -
-
The honest position
-

About the ux-skill ranking at #6

-

If we were ranking by stars, ux-skill would be #8 of 8 — 14 stars is the smallest installed base in the list. We ranked by scope (1,243 entries, 25 commands, 5 sub-agents, 35 linter rules, 160 brand specs, 17 IDEs) and put it where the architecture says it lands. Read that as a self-aware bias.

-

The cards above are accurate on what each tool actually ships. Star counts will move (they're live as of 2026-05-28). Pick by the problem, not the badge.

-
- -

The two trends we're watching in 2026

-

- First: structured manifests over taste prompts. Four of the top six skills use structured data (JSON manifests, philosophy files, design system catalogs). Pure prompt-only skills are losing ground. -

-

- Second: cross-IDE distribution. The Claude Code skill marketplace is the launch surface, but the actual installs split across Cursor, Windsurf, Copilot, Gemini, Aider. Skills shipping pip / npm / multi-IDE installers (open-design, ux-skill, hallmark) will likely consolidate the top of the ranking in the next 12 months. -

-
- -
- Install ux-skill v2 -

The deepest catalog. The only linter. The brand specs.

-

1,243 structured entries, 120 deterministic rules, 160 brand DESIGN.md files. MIT licensed, no telemetry, no account. Three install channels, 17 IDEs.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - -
- - - - - - diff --git a/landing/blog/claude-code-marketplace-best-plugins.html b/landing/blog/claude-code-marketplace-best-plugins.html deleted file mode 100644 index d418508..0000000 --- a/landing/blog/claude-code-marketplace-best-plugins.html +++ /dev/null @@ -1,763 +0,0 @@ - - - - - - - - - Best Claude Code marketplace plugins for design and frontend in 2026 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Marketplace · 2026-05-28 -

Best Claude Code marketplace plugins for design and frontend in 2026.

-

- Claude Code's marketplace shipped in 2025 and the design-and-frontend corner of it is now the deepest. Ten plugins are worth a slot in your install list if you build UI for a living. Below: live star counts, the exact /plugin install command, what each one actually does, and where each fits. -

-

By the ux-skill team · 8 min read · MIT-licensed where noted

- -

Why ten and not fifty

-

- The marketplace lists hundreds of skills. Ten is the install count a real frontend engineer can hold in working memory and reach for without thinking. Past ten, you start forgetting which plugin owns which surface and you spend more time on conflicts than on shipping. We picked ten that don't overlap and cover the design-to-code arc. -

-

- Star counts below are pulled live on 2026-05-28. All install commands are the canonical marketplace path: /plugin marketplace add <owner>/<repo> followed by /plugin install <name>@<repo>. -

- -

The 10 plugins, ranked

- -
-
- 01 - 83,958 stars · MIT -
-

ui-ux-pro-max-skill — design system recommender

-

- The most-installed UX skill on GitHub. Python recommender pattern with five parallel searches (industry, style, palette, type, motion) merged into a single recommendation. Big catalog, big community, big install base. -

-
- $ /plugin marketplace add azer/ui-ux-pro-max-skill
- $ /plugin install ui-ux-pro-max@ui-ux-pro-max-skill -
-

Best for: anyone starting a greenfield UI project who wants a sensible style/palette/type combo without designing one from scratch. Side-by-side compare.

-
- -
-
- 02 - 54,406 stars · MIT -
-

open-design — design tokens from prompts

-

- Generates a tokens.css plus a Tailwind config from a brief. Strong on the token-emission side; lighter on the recommendation reasoning. Good if you already know what you want and need the build artifacts. -

-
- $ /plugin marketplace add opensource-ai/open-design
- $ /plugin install open-design@open-design -
-

Best for: teams who already have a visual direction and need fast token + Tailwind scaffolding.

-
- -
-
- 03 - 25,202 stars · MIT -
-

taste-skill — anti-AI-slop primer

-

- A prompt-only taste primer that biases Claude away from the generic AI-design fingerprints — Inter as display, indigo-to-blue gradients, three equal cards, generic placeholder identities. No linter, no enforcement, but a noticeable improvement on default output. -

-
- $ /plugin marketplace add leonxlnx/taste-skill
- $ /plugin install taste@taste-skill -
-

Best for: developers who want a fast "stop making everything look the same" nudge without adopting a full system. See our ranking of anti-slop tools.

-
- -
-
- 04 - 15,455 stars · MIT -
-

huashu-design — Chinese-market design system primer

-

- Strong taste primer with an emphasis on East Asian visual idioms — dense information layouts, vertical hierarchy patterns, Han-script-aware type pairing. Generalizes well even outside the original market. -

-
- $ /plugin marketplace add huashu/huashu-design
- $ /plugin install huashu@huashu-design -
-

Best for: teams shipping to East Asian markets or building information-dense surfaces.

-
- -
-
- 05 - 14 stars · MIT -
-

ux-skill v2 — Python engine + 120-rule linter + 160 brand specs

-

- Same recommender pattern as ui-ux-pro-max, deeper on every numeric dimension: 1,243 structured entries, 84 styles, 176 palettes, 160 brand DESIGN.md specs (Apple, Stripe, Linear, Figma, Tesla…), 25 slash commands, 5 specialized sub-agents, and the only deterministic 85-regex anti-slop linter in the marketplace that runs in CI. -

-
- $ /plugin marketplace add Laith0003/ux-skill
- $ /plugin install ux@ux-skill -
-

Best for: teams who want a recommender + a deterministic linter + brand-specific specs as queryable manifests, not prose. How the engine works.

-
- -
-
- 06 - 5,712 stars · MIT -
-

stitch-skills — design-system stitching utilities

-

- Component-stitching plugin that merges shadcn/ui primitives with Radix patterns and HeroUI variants into a single consistent component layer. Doesn't generate the design — it stitches a chosen design across your component imports. -

-
- $ /plugin marketplace add stitch/stitch-skills
- $ /plugin install stitch@stitch-skills -
-

Best for: Next.js / React projects already invested in shadcn/ui that need a consistent extension layer.

-
- -
-
- 07 - 2,468 stars · MIT -
-

nothing-design-skill — radical-restraint primer

-

- A taste primer that pushes Claude toward radical minimalism — Nothing-brand-style ASCII-grid, dot-matrix accents, monochrome surfaces. Tight scope, but the output is unmistakable. -

-
- $ /plugin marketplace add nothing/nothing-design-skill
- $ /plugin install nothing@nothing-design-skill -
-

Best for: projects that need a memorable monochrome identity and can commit to one visual direction.

-
- -
-
- 08 - 2,134 stars · MIT -
-

hallmark — AI-content detector for code

-

- A linter-style plugin that scans for AI-generated content patterns in shipping code: classic filler paragraphs, placeholder copy, generic-tone microcopy. Less rules than ux-skill's 35 but cheaper to install if you only need content-detection. -

-
- $ /plugin marketplace add Nutlope/hallmark
- $ /plugin install hallmark@hallmark -
-

Best for: teams worried about placeholder copy leaking into production builds.

-
- -
-
- 09 - 958 stars · MIT -
-

material-3-skill — Material 3 component primer

-

- Focused on Google's Material 3 token system, motion curves, and component conventions. Hands the model the M3 tonal-palette JSON and the named-elevations table so output stays in spec. -

-
- $ /plugin marketplace add material/material-3-skill
- $ /plugin install material-3@material-3-skill -
-

Best for: Android-first products or web apps committed to Material 3.

-
- -
-
- 10 - 412 stars · MIT -
-

frontend-design-skill — full-stack frontend codegen

-

- The Anthropic-curated frontend-design skill bundled with Claude Code. Generates polished, distinctive interfaces with attention to layout variance, motion, and editorial typography. Pairs cleanly with a recommender like ux-skill or ui-ux-pro-max. -

-
- $ /plugin marketplace add anthropics/skills
- $ /plugin install frontend-design@skills -
-

Best for: teams who want Anthropic's first-party take on distinctive frontend output as a baseline before layering more opinionated plugins on top.

-
- -

Sequencing the install

-

- Don't install all ten at once. The plugins layer; install order matters. A reasonable sequence: -

-
    -
  1. Pick one recommender. ui-ux-pro-max if you want the most-installed; ux-skill v2 if you want the deepest catalog plus the linter. Don't run both at the same time on the same task.
    2. -
  2. Add one taste primer if your output still drifts. taste-skill, huashu-design, or nothing-design-skill — pick the one that matches your aesthetic.
    3. -
  3. Add one component / stitching layer. stitch-skills if you're on shadcn/ui; material-3-skill if you're Material; frontend-design if you want Anthropic's baseline.
    4. -
  4. Add one linter. ux-skill's 120-regex linter is the only one with CI-friendly enforcement. hallmark is the lighter content-only path.
    5. -
  5. Add open-design if you need tokens. The token-emission side of the workflow.
    6. -
-

- Five plugins in the install set, each owning a distinct surface. That's the install everyone we know who ships UI inside Claude Code converges to. -

- -
-
Honesty card
-

Star counts compress what each plugin actually does.

-

ui-ux-pro-max owns 84,000 stars because it shipped first and the recommender pattern is genuinely sound. ux-skill at 14 stars isn't comparable on awareness — it's comparable on the four nets new (linter, brand specs, motion presets, components) we shipped on top of the same architecture.

-

The ranking above is by install volume, not by quality. Pick by what you're missing, not by the star count.

-
- -

Why the design plugins are the most useful slice

-

- Claude Code's marketplace has plugins for productivity, search, data, security, payments. The design and frontend plugins are disproportionately useful because the model's defaults in this domain are the most recognizable. Code defaults are usually fine; design defaults are the AI-generated fingerprint everyone has learned to spot. -

-

- A productivity plugin can save you a couple of clicks. A design plugin can keep your output from looking like every other AI-generated landing page on the internet. That's a different order of value. -

- -
- The marketplace is full of plugins that help Claude do what it already does, slightly faster. The design plugins help Claude do what it doesn't do by default at all. -
- -

What we'd install if we started fresh today

-

- If we were building a SaaS app from zero this week, in Claude Code, with no preferences from past projects, the install would be: -

-
    -
  1. ux-skill v2 as the recommender + linter (1,243 entries + 35 regex rules).
    2. -
  2. frontend-design as the baseline codegen layer.
    3. -
  3. stitch-skills for the shadcn/ui component extension.
    4. -
  4. hallmark as a content-only safety net for the parts of the codebase that don't run through the ux-skill linter.
    5. -
-

- Four plugins, no overlap, every install path is MIT, every plugin is in the marketplace. The total install time is under three minutes. -

- -

Related reading

- -
- -
- Pick your install path -

One command. Three channels. Same engine.

-

Whichever IDE you live in, ux-skill ships through pip, npx, or the Claude Code marketplace. MIT licensed, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - -
- - - - - - diff --git a/landing/blog/claude-desktop-mcp-design.html b/landing/blog/claude-desktop-mcp-design.html deleted file mode 100644 index 4958af8..0000000 --- a/landing/blog/claude-desktop-mcp-design.html +++ /dev/null @@ -1,751 +0,0 @@ - - - - - - - - - Claude Desktop + MCP design intelligence — ux-skill as a stdio server - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · MCP · 2026-05-28 -

Claude Desktop + MCP design intelligence — ux-skill as a stdio server.

-

- None of the top eight Claude Code design skills ship a Model Context Protocol server. ux-skill v2 does. The same Python engine that powers the CLI also registers as an MCP stdio server with 14 tools, so any MCP-aware host — Claude Desktop, Cursor, Windsurf, custom agents — can call the recommender, the linter, and the brand library directly. This is what plugging it into Claude Desktop looks like. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

The asymmetric MCP move

-

- Model Context Protocol is the standard for letting an AI host call tools that live in a separate process. Anthropic's reference docs describe it as a stdio or HTTP server speaking JSON-RPC. The protocol is two years old and increasingly the canonical way to extend an AI surface beyond its built-in tools. -

-

- The interesting fact about the Claude Code design ecosystem is that almost none of the high-star skills ship an MCP server. ui-ux-pro-max-skill (84,005 stars) is a slash-command skill. taste-skill (25,359 stars) is a prompt-only primer. hallmark (2,182 stars) is a CLI. None expose their primitives through MCP. -

-

- ux-skill v2 ships 14 MCP tools as a first-class surface. The CLI and the MCP server share the same engine; the protocol is just a different transport over the same logic. That means Claude Desktop, which has no concept of "slash commands" the way Claude Code does, still gets the recommender, the linter, the 160 brand specs, and the persist layer. -

- -

The 14 tools, listed

-

- From engine/mcp/server.py, the registered tool dict: -

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
ToolRoleReturns
ux_recommend5-parallel-search recommenderstyle + palette + type pair + motion + components + brand exemplars
ux_lintAnti-AI-slop regex linterFindings with rule id, severity, file, line, fix
ux_stylesRead all 84 style entriesArray of style manifests
ux_palettesRead 176 palette entries, mode filterArray of palette manifests
ux_type_pairsRead 70 display+body+mono pairsArray of type-pair manifests
ux_componentsRead 148 component descriptions, category filterArray of component specs
ux_industriesRead 184 industry biasesArray with style/palette/type biases per domain
ux_motion_presetsRead 57 motion presets, category filterArray with easing, duration, stagger
ux_anti_patternsRead 68 regex rules, severity filterArray of rule manifests with detection + why + fix
ux_brandsRead 160 brand specsArray of brand DESIGN.md manifests
ux_landing_patternsRead proven landing-page section patternsArray of landing-pattern manifests
ux_persist_saveWrite MASTER.md to project rootPath + byte-hash of the written file
ux_persist_loadRead MASTER.md backStructured dict or not-found
ux_statsEngine version + per-manifest countsHealth-check JSON
-
- -

- Every tool has a Pydantic input model with explicit schema, validated on every JSON-RPC call. Bad inputs return a structured error rather than crashing the server. -

- -

The Claude Desktop config block

-

- Claude Desktop reads its MCP server list from one file. On macOS that file is at ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows it is %APPDATA%/Claude/claude_desktop_config.json. On Linux it is ~/.config/Claude/claude_desktop_config.json. -

-

- Add ux-skill as a stdio server pointing at the dedicated ux-mcp entry point that ships with the package: -

- 
// ~/Library/Application Support/Claude/claude_desktop_config.json
-{
-  "mcpServers": {
-    "uxskill": {
-      "command": "ux-mcp",
-      "args": [],
-      "env": {}
-    }
-  }
-}
-

- That is the whole config. ux-mcp is the entry point registered in pyproject.toml — it resolves to engine.mcp.server:run_server after pip install uxskill. No path manipulation, no shell expansion, no virtualenv juggling. -

- -

Two install paths to the server

-

- The MCP server is a Python program. There are two ways to get it on your PATH so Claude Desktop can invoke it. -

- -

Path A — system Python (simplest)

- 
# Install uxskill globally with pipx (recommended) or pip
-$ pipx install uxskill
-$ which ux-mcp
-/Users/you/.local/bin/ux-mcp
-
-# Verify the server starts
-$ ux-mcp </dev/null
-ux-skill MCP server starting on stdio. version=2.0.0-alpha.1 tools=14
-^C
-

- Once which ux-mcp returns a path, the Claude Desktop config above will resolve it correctly. Restart Claude Desktop after editing the JSON file; the server starts on the next session. -

- -

Path B — virtualenv pinned to the project (advanced)

-

- If you prefer to pin ux-skill to a specific virtualenv (useful for monorepos with reproducible builds), point the config at the absolute path: -

- 
{
-  "mcpServers": {
-    "uxskill": {
-      "command": "/Users/you/projects/your-monorepo/.venv/bin/ux-mcp",
-      "args": [],
-      "env": {
-        "UX_DATA_DIR": "/Users/you/projects/your-monorepo/data"
-      }
-    }
-  }
-}
-

- The UX_DATA_DIR env var is optional — it lets you override the bundled JSON manifests with project-specific overrides. Useful when you want to extend the brand library or seed an internal palette set. -

- -

What it feels like in a session

-

- After the config is in place and Claude Desktop is restarted, the model gains access to the 14 tools through MCP. A typical session looks like this: -

- 
# You
-> Pick a design system for a Saudi B2B logistics platform.
-  Audience is dispatchers, 30 to 50 headcount, RTL primary.
-  Reference brands: Linear, Stripe, Vercel.
-
-# Claude calls ux_recommend({...brief...})
-[tool call] ux_recommend · 142ms
-
-# Claude renders the response
-Recommendation:
-  style       editorial-precise
-  palette     cool-neutral-amber-accent
-  type_pair   fraunces-inter-mono
-  motion      restrained-supportive
-  brand_refs  Linear, Stripe, Vercel
-  guardrails  35 anti-patterns at threshold high
-
-I'll save this to your project. Want me to write MASTER.md?
-
-# You
-> Yes, project root is ~/Documents/logistics-platform
-
-# Claude calls ux_persist_save
-[tool call] ux_persist_save · 64ms
-  wrote .ux/design-system/MASTER.md (3,184 bytes)
-  wrote .ux/design-system/tokens.css (1,920 bytes)
-  wrote .ux/design-system/manifest.json (4,512 bytes)
-

- Two tool calls, the design system lands in the project. The same flow works in Cursor (after pasting the same JSON into ~/.cursor/mcp.json), in Windsurf, and in any custom MCP client. -

- -
- MCP is the right shape for cross-IDE design intelligence. The CLI is one transport; MCP is the other. -
- -

What the protocol gets right

-

- Three things make MCP a better surface for design intelligence than a per-IDE plugin: -

-
    -
  1. One implementation, many hosts. The same Python server speaks to Claude Desktop, Claude Code, Cursor, Windsurf, and any future MCP client. No per-IDE adapter, no version skew.
    2. -
  2. Structured I/O. Every tool has a JSON schema. The host validates inputs before the call, so the engine never sees malformed payloads.
    3. -
  3. Stdio means no network. The server runs locally as a subprocess of the host. No firewall holes, no API key, no telemetry. The engine never makes an outbound request.
    4. -
- -

Performance

-

- Average tool latencies on a 2023 MacBook Air, server already warm: -

- -
- - - - - - - - - - - - - - - - - -
Toolp50 latencyPayload size
ux_stats3 ms~500 bytes
ux_styles8 ms~52 KB
ux_palettes14 ms~118 KB
ux_brands22 ms~280 KB
ux_recommend142 ms~6 KB
ux_lint (200 files)410 msvaries
ux_persist_save64 ms~12 KB
-
- -

- The numbers are dominated by JSON serialization, not by the engine. The recommender's 5-parallel-search lane completes in about 45 ms; the rest of the 142 ms is shaping the response. -

- -

Why this matters for Claude Desktop specifically

-

- Claude Desktop is a chat client, not an IDE. It has no .cursorrules, no slash commands, no project-aware file picker. The only way to extend it is through MCP. That makes Claude Desktop the host where the MCP-versus-plugin distinction matters most: -

-
    -
  • A skill that only ships as Claude Code slash commands is invisible to Claude Desktop users.
    • -
  • A skill that only ships as a Cursor extension is invisible to Claude Desktop users.
    • -
  • A skill that ships an MCP server reaches every MCP-aware host, including Claude Desktop, Cursor, Windsurf, Cline, Continue, and any future client.
    • -
- -
-
Honesty card
-

About the "only" claim.

-

"None of the top eight Claude design skills ship MCP" is accurate at the time of writing (May 2026). The top eight by GitHub stars are ui-ux-pro-max-skill (84,005), open-design (54,000), taste-skill (25,359), huashu-design (15,000), stitch-skills (5,700), nothing-design-skill (2,400), hallmark (2,182), material-3-skill (955). Their repos do not include an MCP server implementation today.

-

That could change. The MCP surface is a structural advantage, not a permanent one. ux-skill is 14 stars at the time of writing; the bet is that the protocol is the right shape regardless of distribution.

-
- -

Cross-host parity

-

- The same MCP config works in every host. For reference, the config files for the major MCP-aware clients: -

- -
- - - - - - - - - - - - - - - - -
HostConfig pathSame JSON block?
Claude Desktop (macOS)~/Library/Application Support/Claude/claude_desktop_config.jsonYes
Claude Desktop (Windows)%APPDATA%/Claude/claude_desktop_config.jsonYes
Cursor~/.cursor/mcp.jsonYes
Windsurf~/.codeium/windsurf/mcp_config.jsonYes
Cline (VS Code extension)cline_mcp_settings.json in workspaceYes
Continue~/.continue/config.json — mcpServers keyYes
-
- -

- Same five-line entry — command: ux-mcp, args: [] — works everywhere. Write it once, paste it five times. -

- -

The 60-second setup

-

- End to end from a clean macOS install with Claude Desktop already installed: -

-
    -
  1. pipx install uxskill — about 18 seconds on a clean Python.
    2. -
  2. Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor (create it if missing).
    3. -
  3. Paste the five-line uxskill block from earlier into the mcpServers object.
    4. -
  4. Restart Claude Desktop.
    5. -
  5. Ask the model to "use ux_recommend to pick a design system for X." The tool call fires; the recommendation lands.
    6. -
-

- Total: under a minute. Total cost: zero. License: MIT. No telemetry, no account, no outbound network traffic. -

-
- -
- Install the MCP server -

One install. Every MCP host. 14 tools.

-

The same Python engine that powers the CLI also runs as an MCP stdio server. Plug it into Claude Desktop, Cursor, Windsurf, Cline, Continue, or any custom MCP client.

- -
-
$ pipx install uxskill
-
$ which ux-mcp
-
— then paste into your host config —
-
{ "command": "ux-mcp", "args": [] }
-
— or as a Claude Code plugin —
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/cursor-design-plugin.html b/landing/blog/cursor-design-plugin.html deleted file mode 100644 index 39951f6..0000000 --- a/landing/blog/cursor-design-plugin.html +++ /dev/null @@ -1,746 +0,0 @@ - - - - - - - - - Cursor design plugin: install ux-skill to stop generic AI design output - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Cursor · 2026-05-28 -

Cursor design plugin: install ux-skill to stop generic AI design output.

-

- Cursor users hit the same wall as Claude Code users — AI defaults produce a recognizable look. Most "Cursor design tooling" means installing a component library or paying for an AI service. ux-skill is a different shape: a Python engine that runs inside Cursor and adds design constraints to every generation. -

-

By the ux-skill team · 7 min read · MIT-licensed open source

- -

How Cursor handles design today

-

- Cursor doesn't ship native design rules. The product is excellent at code, deliberately neutral on aesthetics. When you ask Cursor to "build a landing page" or "design a dashboard," the output reverts to the model's defaults: Inter at 90px, indigo-to-blue gradient, three identical cards, placeholder testimonials like "Maya Iqbal, CEO," fade-in-up motion on everything. -

-

- These aren't Cursor's defaults — they're the underlying model's defaults, which Cursor inherits along with the rest of the model's capabilities. Fixing them means feeding constraints in alongside the prompt: either rules in .cursorrules, a referenced design system, or a tool that runs alongside Cursor's generation. -

-

- ux-skill takes the third path. It's a Python package (uxskill on PyPI, also on npm as uxskill) that exposes a recommender, a generator, and a linter. Cursor calls it through one of three integration paths. -

- -

Three install paths in Cursor

- -
-
01
-

The .cursorrules path (fastest)

-

- Add ux-skill's rule pack to your project's .cursorrules file. The 152 anti-pattern rules and the brand-spec instructions get loaded into every Cursor prompt as system instructions. No runtime dependency. -

-
- # From your project root
- $ npx uxskill@alpha init --target cursor
- # Generates .cursorrules with the 35 rules + brand spec references -
-

Best for: existing Cursor projects where you want design rules without changing your toolchain.

-
- -
-
02
-

The npx wrapper path (most powerful)

-

- Run ux-skill commands directly from Cursor's terminal pane or an integrated task. The full Python engine is wrapped behind npx, so you don't need a separate Python install. All 25 slash commands work: discover, recommend, design, lint, fix, polish. -

-
- $ npx uxskill@alpha recommend # interactive design system pick
- $ npx uxskill@alpha lint ./src # 120-rule anti-slop pass
- $ npx uxskill@alpha fix ./src/components # apply lint fixes -
-

Best for: actively designing inside Cursor with the recommendation, generation, and lint lanes all available.

-
- -
-
03
-

The pip install path (CI-ready)

-

- If your Cursor project already has Python tooling, install ux-skill as a dev dependency. The Python API is the most direct path; the ux CLI runs as a normal entry point. Add ux lint --threshold high to your pre-commit hook or CI pipeline for slop defense at commit time. -

-
- $ pip install uxskill
- $ ux lint ./src --threshold high # exit 1 on high-sev fingerprints
- # In .pre-commit-config.yaml or .github/workflows/*.yml -
-

Best for: production projects with a CI pipeline. The 35 regex rules become a non-zero exit code gate.

-
- -

What changes when ux-skill runs in Cursor

-

- Same prompt — "design a landing page for a fintech neobank." Cursor without ux-skill vs Cursor with ux-skill loaded. -

- -
-
-
Without ux-skill
-

The fingerprints arrive on schedule.

-
    -
  • Hero with Inter at 96px / line-height 1.0
    • -
  • Indigo-to-blue hero gradient (the recognizable AI default)
    • -
  • Three identical pricing cards, equal heights, icon-top-left
    • -
  • "Beautiful banking, seamlessly" hero copy
    • -
  • "Get started" + "Learn more" button pair
    • -
  • fade-in-up 0.3s ease-out on every section
    • -
  • Generic placeholder identities throughout the page
    • -
-
-
-
With ux-skill
-

The recommender forces a system first.

-
    -
  • Recommender returns: editorial-modern + a constrained palette + Bricolage/Inter pair + restrained motion
    • -
  • Brand spec reference: Linear (if fintech-trust matches) or Stripe (if payments-focused)
    • -
  • Hero with Bricolage at 56-72px, Inter 18px body
    • -
  • Dark or warm surface, one accent color, no rainbow gradients
    • -
  • Asymmetric content layout, not three identical cards
    • -
  • Hierarchy-aware motion: hero opens, supporting content cascades
    • -
  • Linter pass: 35 rules check the output, exit 1 if a fingerprint sneaks through
    • -
-
-
- -

- The difference isn't taste-by-magic. It's constraint by structure. Cursor still generates the code; ux-skill defines the rails it can't drift off. -

- -

What ux-skill ships

-

- For Cursor users, the relevant numbers are: -

-
    -
  • 1,243 structured entries across 12 JSON manifests — styles, palettes, type pairings, motion presets, components, industry rules, chart types, tech stacks, anti-patterns, brand specs, UX laws.
    • -
  • 120 deterministic regex rules in the anti-slop linter. No LLM judgment in the audit lane.
    • -
  • 160 brand DESIGN.md specs. Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, and 84 more.
    • -
  • 25 slash commands covering discovery, recommendation, generation, audit, polish, and handoff.
    • -
  • 5 specialized sub-agents for parallel role work.
    • -
  • 17 IDEs supported. Cursor is one of them. Windsurf, GitHub Copilot, Gemini Code Assist, Aider, Continue, Cline, Roo Code, Codex are others.
    • -
- -

Pairs well with shadcn/ui MCP and Tailwind

-

- ux-skill doesn't ship its own component library — it's a recommender + linter, not a UI kit. In Cursor, the natural pairing is: -

-
    -
  1. ux-skill picks the design system (style + palette + type + motion).
    2. -
  2. shadcn/ui MCP or Tailwind UI provides the actual component snippets in that system.
    3. -
  3. ux-skill's linter catches drift from the system in the generated code.
    4. -
-

- ux-skill is the brain; shadcn/Tailwind are the hands. The recommender produces a tokens file you can feed straight into tailwind.config.js, so the component library inherits the chosen palette and type ramp without manual wiring. -

- -
- Cursor is excellent at code. ux-skill is the constraint layer that turns "design something" into "design within these specific rules." -
- -

What it doesn't do

-

- Be specific about the limits: -

-
    -
  • No live preview. ux-skill is a recommender + linter. For preview, use Cursor's normal preview workflow or pair with v0.dev / Bolt.new.
    • -
  • No Figma sync in v2 (planned for v2.2). For Figma integration, use the Figma MCP and feed ux-skill's tokens.css back into the Figma file.
    • -
  • Not a component library. 148 components in the catalog are descriptions of what to build, not finished snippets. Pair with shadcn/ui MCP or Tailwind UI for actual implementations.
    • -
  • Not branded. ux-skill is 14 stars on GitHub. ui-ux-pro-max is 84k. If you need community momentum, install both and compose them.
    • -
- -
-
Honesty card
-

About the 14-star claim

-

ux-skill v2 is new (v2.0.0-alpha.1 shipped a few weeks ago) and solo-maintained. We don't have the install base ui-ux-pro-max or hallmark have. The case for installing is architecture — Python engine, 1,243 entries, 120-rule deterministic linter, 160 brand specs, cross-IDE distribution — not awareness.

-

Install it for the linter and the brand specs. If you only need a prompt-only taste primer, taste-skill (25k stars) is also reasonable. Both are MIT.

-
- -

Five minutes to working

-

- End to end from a fresh Cursor project: -

-
    -
  1. cd into your project directory in Cursor's terminal.
    2. -
  2. npx uxskill@alpha init --target cursor — writes .cursorrules and seeds the brand spec references.
    3. -
  3. npx uxskill@alpha discover — answers the 10-field discovery, writes .ux/last-discover.json.
    4. -
  4. npx uxskill@alpha recommend — reads discovery, returns style + palette + type + motion + components, writes tokens.css.
    5. -
  5. Ask Cursor to generate inside that system. The recommendation is in .cursorrules; the model can't drift to defaults.
    6. -
  6. npx uxskill@alpha lint ./src — 120-rule pass. Fix any flagged lines with ux fix.
    7. -
- -

- Total install + first generation: under five minutes. Total cost: zero. License: MIT. -

-
- -
- Install in Cursor -

One npx command. No Python required.

-

The full ux-skill engine wraps behind npx, so Cursor users without a Python environment still get the recommender, 120-rule linter, and 160 brand specs.

- -
-
$ npx uxskill@alpha init --target cursor
-
— or if Python is available —
-
$ pip install uxskill
-
$ ux lint ./src --threshold high
-
— or as a Claude Code skill (if you also use Claude Code) —
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
-
-
- - -
- - - - - - diff --git a/landing/blog/dark-editorial-cinema-design.html b/landing/blog/dark-editorial-cinema-design.html deleted file mode 100644 index 4e47eca..0000000 --- a/landing/blog/dark-editorial-cinema-design.html +++ /dev/null @@ -1,651 +0,0 @@ - - - - - - - - - Dark editorial cinema — the design language behind ux-skill's new homepage - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Design · 2026-05-28 -

Dark editorial cinema — the language behind our new homepage.

-

- The old homepage was a cream-canvas, serif-display, claude.ai-shaped landing. Pretty. Recognizable. And — as a tool that exists to fight the recognizable — exactly the problem. The new homepage is a charcoal-canvas, single-amber-accent, Fraunces-variable-opsz, scroll-pinned cinema language. Here are the actual choices, where each came from, and the lint result that confirmed we shipped it cleanly. -

-

By the ux-skill team · 7 min read · MIT-licensed open source

- -

The brief, before the design

-

- Before any visual decision, we ran the same forcing function we ship for everyone: /ux-frame. Ten fields. No improvisation. The brief that came out of it for uxskill.laithjunaidy.com: -

- 
// .ux/last-frame.json
-{
-  "project_type": "developer tool landing",
-  "industry": "AI infrastructure / design tooling",
-  "audience": ["frontend engineers", "design engineers", "founders shipping AI features"],
-  "tone": ["editorial", "confident", "calm", "cinematic"],
-  "must_have": ["taste signal in the first 200ms", "asymmetric layout", "variable type"],
-  "forbidden": ["Inter as display", "purple-to-blue gradient",
-                  "three equal cards", "any AI fingerprint that fails our own lint"],
-  "stack": "static HTML + Fraunces + Inter Tight + JetBrains Mono",
-  "region": "global"
-}
-

- The forbidden field is the load-bearing one. The page had to pass uxskill lint --threshold high against the same 51 rules we ask other people to pass. More on the linter and its 51 rules. -

- -

The recommender's first answer was wrong

-

- We pasted that brief into /ux-recommend. The engine ran its five parallel searches — industry, style, palette, type, motion — and returned Cormorant Garamond + Cream Editorial + warm sienna accent. Which, to the trained eye, is the claude.ai landing. The same surface every Anthropic-adjacent tool reaches for. -

-

- That was a bug in our own engine, and we filed it against ourselves. The full story is in the dogfooding war story; the short version: the editorial industry tag weighted Cormorant heavier than Fraunces, and the palette ranker preferred cream over near-black for "calm." Both fixed. Re-running the engine after the patch returned the system we actually shipped. -

- -

The palette — three colors, no gradient

-

- Charcoal canvas, near-white ink, single amber accent. That's it. No secondary surface tint. No gradient. No glow. -

-
-
-
-
canvas#0c0a09
-
-
-
-
surface#1a1816
-
-
-
-
ink#f5f3ee
-
-
-
-
amber#f59f00
-
-
-

- Why charcoal and not pure black. #0c0a09 is warm-leaning, almost reading as a deep ink rather than a void. Pure black on a screen reads digital; warm charcoal reads cinematic. The difference is two points on each channel and an enormous gap in emotional temperature. -

-

- Why amber and not red, orange, or yellow. Amber sits at the seam between gold (heritage, paper) and yellow (alert, energy). On a charcoal canvas it reads as warm spotlight, not warning. Used once per viewport. Never used to colorize an image. Never used in a gradient. -

- -

The type — Fraunces, opsz on scroll

-

- The display face is Fraunces, a variable serif by Phaedra Charles, Flavia Zimbardi, and Undercase Type. Two axes matter for what the homepage does: opsz (optical size, 9 to 144) and SOFT (softness, 0 to 100, controlling terminal sharpness vs round terminals). -

-

- On scroll, the hero headline animates from opsz 144, SOFT 0 (large sharp display) to opsz 36, SOFT 50 (medium, slightly softer terminals) as it shrinks into the navigation. Same letterforms, smoothly remapped. No font-swap. No double-fetch. One variable font, one fluid transform. -

- 
/* The font request */
-@import url('https://fonts.googleapis.com/css2?family=Fraunces:opsz,wght,SOFT@9..144,200..900,0..100&family=Inter+Tight:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap');
-
-/* The headline */
-.hero h1 {
-  font-family: 'Fraunces', serif;
-  font-variation-settings: 'opsz' 144, 'SOFT' 0, 'wght' 500;
-  font-size: clamp(56px, 9vw, 152px);
-  line-height: 0.94;
-  letter-spacing: -0.03em;
-  transition: font-variation-settings 600ms cubic-bezier(0.16, 1, 0.3, 1);
-}
-
-/* On scroll, JS sets a class — opsz/SOFT remap */
-.hero h1.compact {
-  font-variation-settings: 'opsz' 36, 'SOFT' 50, 'wght' 500;
-}
-

- Body is Inter Tight (not Inter — the Tight cut has narrower side-bearings, which makes the editorial paragraphs hold density). Code and metadata are JetBrains Mono. -

- -

Why a variable font and not three font-files

-

- Three separate Fraunces cuts (Display, Text, Caption) would be three font files. One Fraunces variable file does all three, and crucially can animate between them — which is what makes the scroll feel like a single instrument zooming, not a swap. -

- -

The motion — scroll-pinned cinema

-

- Most landing pages stack sections vertically and fade them in on enter. The new homepage uses scroll-pinning: each major section sticks to the viewport for the duration of its scroll budget, with the inner contents transforming during that hold. The page reads like a series of cinema cuts, not a long scroll. -

-

- Two presets do the heavy lifting, both from the 57-preset motion library: -

-
    -
  • scroll-pin-hold — pins the section, runs an internal timeline scrubbed to scroll position, releases on exit.
    • -
  • parallax-depth-3 — three depth layers (background, mid, foreground) translating at 0.4x, 1x, 1.6x of scroll velocity.
    • -
-

- Both honor prefers-reduced-motion: reduce — the pin still happens, but the inner timeline runs in a single tick rather than scrubbed, so users with motion sensitivity get the same content rhythm without the velocity. -

- -

The lint result

-

- The page passes its own linter at --threshold high with zero findings. The full report: -

- 
$ uxskill lint docs/index.html --threshold high
-// 0 findings
-[OK] Scanned 1 file in 38ms · 0 findings at threshold high
-
-$ uxskill lint docs/index.html --threshold medium
-// 0 findings at medium either
-[OK] Scanned 1 file in 41ms · 0 findings at threshold medium
-
-$ uxskill lint docs/index.html --threshold low
-// 1 finding at low — known false positive on intentional decorative SVG
-[WARN] 1 finding at threshold low
-  low  decorative-svg-no-aria   docs/index.html:284
-                                Decorative SVG without aria-hidden
-                                fix: add aria-hidden="true" or role="presentation"
-[FIX] suppressed via /* ux-lint-disable decorative-svg-no-aria */
-

- One low-severity finding, suppressed inline with a documented exemption (the SVG is the brand mark and is announced by the surrounding aria-label on the link, so the rule is over-firing). Every other rule is clean. -

- -
- A tool that fights AI fingerprints can't ship a homepage that fingerprints as AI. We had to mean it on our own surface first. -
- -

What this is not

- -

It's not "dark mode"

-

- Dark mode is a runtime preference. This is the canonical canvas. There is no light-mode toggle on the homepage. The blog, the docs, and the comparison page stay on cream — the contrast between the dark editorial homepage and the cream reading surfaces is part of the language. -

- -

It's not glassmorphism

-

- No backdrop blur, no translucent panels, no rim-light. Glassmorphism is the 2021 fingerprint we'd be replacing one cliché with another. The new homepage is flat: solid surfaces, hairline rules, no glow. -

- -

It's not Vercel-shaped

-

- Vercel and Linear both ship dark canvases. They both use a thin neon accent (cyan, mint). The difference is the type: Vercel and Linear use neutral sans-serifs (Inter, Geist) on display. The homepage uses Fraunces — a serif, on display, animated on its opsz axis. That's where the editorial reading comes from. -

- -

How to recreate it on your project

-

- If you want the same language without copying our homepage, the recommender ships the system as a queryable manifest. Run: -

- 
$ uxskill recommend \
-    --industry "developer tool" \
-    --tone "editorial,cinematic,calm" \
-    --forbidden "inter-as-display,purple-to-blue-gradient" \
-    --output design-system.json
-
-[OK] System composed:
-  style:        Dark Editorial (id: dark-editorial)
-  palette:      Charcoal & Amber (id: charcoal-amber)
-  type:         Fraunces + Inter Tight (id: fraunces-inter-tight)
-  motion:       scroll-pin-hold + parallax-depth-3
-  components:   12 surfaces, all dark-canvas-tuned
-  brand:        none applied (no brand named in brief)
-

- The output is a portable JSON manifest. Drop it into Cursor, Windsurf, Claude Code, or any other ux-skill-supported environment and the agent uses it as the source of truth for every subsequent generation. -

- -
-
Honesty card
-

Variable opsz is browser-supported but unevenly tooled.

-

Safari ships font-variation-settings animation cleanly. Chrome and Edge do too. Firefox honors the static settings but the animation between two states is choppier than the others — we land soft (no perceptible stutter on a 60Hz display) but it's not as silken as Safari. If Firefox parity matters more to you than the effect, drop the animation and use two static cuts instead.

-

The total Google Fonts request weight for the homepage is 134KB (Fraunces variable + Inter Tight five weights + JetBrains Mono two weights). On a cold cache that's noticeable on a 3G connection; on warm cache it's instant. We accept the trade.

-
- -

Why the blog still uses Cormorant + Cream

-

- Two reasons. First, we already have ten blog posts in the Cormorant + cream brand and the cost of redoing all of them outweighs the consistency gain. Second — and more importantly — the blog is a long-form reading surface. Long-form reading wants warm paper, generous leading, and a sturdy serif body face. Cormorant on cream is good at that. The homepage's job is a 200ms taste signal; the blog's job is a 12-minute hold. Different language for different jobs is correct. -

-

- The next blog re-skin (probably v2.2) will likely move to Fraunces + cream, keeping the dark canvas exclusive to the marketing surface. Tracked in the roadmap. -

- -

Related reading

- -
- -
- Build with the same engine -

One Python package. Three install paths.

-

Same recommender that picked Charcoal + Fraunces + Amber for our homepage is available for your project. 73 brand specs, 84 styles, 176 palettes, 51 lint rules, all queryable. MIT licensed, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/dogfooding-design-engine.html b/landing/blog/dogfooding-design-engine.html deleted file mode 100644 index fe01b8d..0000000 --- a/landing/blog/dogfooding-design-engine.html +++ /dev/null @@ -1,633 +0,0 @@ - - - - - - - - - Dogfooding ux-skill — bugs we found by using our own design engine - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Story · 2026-05-28 -

Dogfooding ux-skill — bugs we found by using our own engine.

-

- You don't really know your tool until you build with it. Two weeks ago we needed a new homepage. We did the obvious thing — we ran our own recommender against our own brief. The system it returned was Cormorant Garamond on cream, with a warm sienna accent. Which is, almost exactly, the claude.ai landing. Our engine had recommended the Claude clone. Here's the war story, the two bugs we filed against ourselves, and the homepage that now passes its own linter cleanly. -

-

By the ux-skill team · 6 min read · MIT-licensed open source

- -

The setup

-

- The old uxskill.laithjunaidy.com was a workmanlike cream-canvas page — Cormorant for display, Inter for body, a single warm sienna accent at #ec4899. It got the job done for the alpha launch. By week three we'd seen a half-dozen tools in the same category ship pages with the same shape: warm cream, serif display, single warm accent. The visual language had become its own fingerprint — the Claude-tool aesthetic — and we were sitting inside it. -

-

- Our project's stated reason for existing is to catch AI fingerprints. We needed to mean it on our own surface. So we ran the discovery protocol on ourselves. -

- -

The brief

-

- Ten fields, no improvisation. The brief we wrote for the new homepage: -

- 
// .ux/last-frame.json
-{
-  "project_type": "developer tool landing",
-  "industry": "AI infrastructure / design tooling",
-  "audience": ["frontend engineers", "design engineers", "founders shipping AI features"],
-  "tone": ["editorial", "confident", "calm", "cinematic"],
-  "must_have": ["taste signal in the first 200ms", "asymmetric layout", "variable type"],
-  "forbidden": ["Inter as display", "purple-to-blue gradient", "three equal cards"],
-  "stack": "static HTML",
-  "region": "global"
-}
-

- We deliberately left "calm" and "editorial" in tone because both are true — and because we wanted to see if the engine would handle the tension between "editorial" and "cinematic" (which lean different directions). -

- -

The first run — and the cold realization

-

- We ran /ux-recommend. Five parallel searches — industry, style, palette, type, motion — composed into a system. Twelve seconds later, the engine returned: -

- 
$ uxskill recommend --frame .ux/last-frame.json
-
-[OK] System composed:
-  style:     Editorial Calm        (id: editorial-calm)
-  palette:   Cream & Sienna       (id: cream-sienna-warm)
-  type:      Cormorant + Inter     (id: cormorant-inter-classic)
-  motion:    fade-up-12px, lift-2px
-  brand:     none applied
-

- Cream and sienna. Cormorant. The same surface as the old homepage. The same surface as claude.ai. The recommender had looked at our brief — "editorial, calm, developer tool" — and reached for the highest-similarity match, which happened to be the dominant aesthetic in the AI-tools cohort. -

-

- The recommendation wasn't wrong on its face. Cormorant on cream is a legitimate editorial pairing. But it was wrong for us, because it fingerprinted us as part of a cluster we explicitly exist to dilute. The forcing question wasn't "is this a nice system?" — it was "would a careful viewer recognize this as just another Claude-tool landing?" Yes, they would. -

-

- So we filed two bugs against ourselves. -

- -

Bug 1 — editorial-industry tag over-weighted Cormorant

- -
-
ux-skill #engine-67
-

The "editorial" tone tag biases Cormorant over Fraunces

-

- Tracing the recommender's lane on the type search: with tone: editorial in the brief, the type-pair scorer added a +0.18 bonus to any pair where the display face was a humanist garalde serif (Cormorant, Sabon, Adobe Garamond). Fraunces — which is a contemporary variable revival with a SOFT axis — was tagged as "geometric-revival serif" in the type manifest, missing the editorial bonus entirely. Result: Cormorant ranked first by 0.21, even though Fraunces had a higher score on every other dimension (variable axes, modern proof, multi-script support). -

-

- Why it matters: "editorial" in 2026 should not collapse to 1990s book-design serifs. The tone tag was too narrow. -

-
- Fix - Added a contemporary-editorial sub-tag to the type-pair manifest. Fraunces, Recoleta, Migra, and Tobias all carry it. The recommender now branches on the cinematic / contemporary signal in the brief — if either is present alongside editorial, the contemporary tag carries the bonus instead. Cormorant still ranks first for pure heritage-editorial briefs (the project is for a print magazine, a literary publication, a foundation). -
-
- -

Bug 2 — palette scorer preferred cream over near-black for "calm"

- -
-
ux-skill #engine-68
-

"Calm" routed to warm-cream palettes, ignoring near-black charcoal options

-

- The palette scorer treated tone: calm as a near-synonym for "warm pastels" — cream, ivory, sand, oat. It correctly excluded the "loud" cluster (neon, deep saturation, high contrast) but it also excluded the "calm dark" cluster — charcoal canvases with restrained accents, the language of nighttime cinema, art-house posters, late-issue Apple keynotes. Those palettes exist in the manifest (charcoal-amber, obsidian-mint, graphite-citrine) but the calm tag was binary-coded as "light canvas required." -

-

- Why it matters: calm is not a function of luminance. A dark canvas can be calmer than a cream one — particularly with editorial pacing and a single restrained accent. -

-
- Fix - Removed the implicit "light-canvas required" coupling from the calm tag. Added calm-light and calm-dark as orthogonal facets. Palettes can now carry either, both, or neither. The recommender stays neutral and lets the brief's other signals (cinematic, editorial, audience-skew) tip the balance. After the fix, charcoal-amber ranked first for our brief by 0.31. -
-
- -

The second run — after both fixes

-

- We re-ran the recommender with the two manifest patches in. The output: -

- 
$ uxskill recommend --frame .ux/last-frame.json
-
-[OK] System composed:
-  style:     Dark Editorial        (id: dark-editorial)
-  palette:   Charcoal & Amber     (id: charcoal-amber)
-  type:      Fraunces + Inter Tight (id: fraunces-inter-tight)
-  motion:    scroll-pin-hold, parallax-depth-3, fade-up-12px
-  brand:     none applied
-

- Charcoal canvas, single amber accent, Fraunces variable serif on display with Inter Tight for body, scroll-pinned cinema motion. That's the system the new homepage actually uses. The full design choices and the lint result are documented in the dark editorial cinema design post. -

- -

The lint result on the new homepage

-

- The final test: run our own linter against the page we'd just built. If our engine had truly stopped recommending the AI default, the page should pass. -

- 
$ uxskill lint docs/index.html --threshold high
-[OK] Scanned 1 file in 38ms · 0 findings at threshold high
-
-$ uxskill lint docs/index.html --threshold medium
-[OK] Scanned 1 file in 41ms · 0 findings at threshold medium
-

- Zero findings at high, zero at medium, one at low (a decorative SVG missing aria-hidden — suppressed inline with a documented exemption since the SVG is the brand mark and is announced by the surrounding aria-label). The page passes its own linter. -

- -
- You can't ship a tool that fights fingerprints if your own homepage fingerprints. Dogfooding is how you find out. -
- -

What this changed about how we work

- -

1. The brief is the bug

-

- Both bugs were tagging-and-scoring bugs in the manifests. The recommender code was fine. What was wrong was how we'd taxonomized editorial and calm — too narrow on the first, too coupled to luminance on the second. Most ux-skill bugs in the next six months will probably look the same shape: the engine ran fine, but the tags it ran over were lazy. The manifest curation is the real product surface. -

- -

2. The recommender needs a "fingerprint check" pass

-

- Even with both bugs fixed, the engine could still return a recommendation that — on its own merits — is fine but, in 2026, fingerprints as "AI tool." We're prototyping a post-recommendation step: after the system is composed, the recommender checks the chosen style and palette against a manifest of current category clusters (AI tools, fintech, productivity, etc.) and surfaces a flag if the composition matches the dominant pattern of the chosen industry. Tracked on the roadmap. -

- -

3. The forbidden field is not enough

-

- Our brief had forbidden: ["inter-as-display", "purple-to-blue-gradient", "three-equal-cards"]. The recommender obeyed all three. But it still returned a system that read as derivative — because the AI fingerprint isn't only the three loud defaults, it's also the quieter cluster of "what every Claude-adjacent tool looks like right now." We need a way to express "don't look like the current cohort." That's what the post-recommendation flag is for. -

- -

The next dogfood pass

-

- We're running the same exercise on the comparison page, the FAQ, the about page, and the roadmap — every public surface gets the new brief, the new recommender, and the linter. Anything that doesn't pass gets a bug filed and a fix landed. The blog posts are intentionally being held on the old Cormorant + cream brand for reading consistency across the existing ten, but the rest of the site converges on the new language. -

-

- We'll write up the comparison page and roadmap re-skin separately once they ship. -

- -
-
Honest scope
-

Two bugs is one snapshot. There are more.

-

The recommender's tagging assumptions came from our own taste, and our taste has blind spots. We expect to find more bugs as we run the engine on more briefs. We file them publicly when we find them, and we fix them in the manifests — not the code — so the fixes are auditable as diffs to JSON, not as changes to recommendation logic.

-

If you find a bug in the manifest tagging (a tag that's too narrow, a coupling that's too tight, a missing facet), the project is open. File an issue, ideally with a brief that reproduces.

-
- -

What we'd tell another small team

-

- If you ship a design tool — a recommender, a linter, a generator — the only honest test is whether your own surfaces use it. The first time we ran our engine on our own homepage we found two bugs in 12 minutes. The second time we ran it (after the fixes) it returned a system we wouldn't have invented on taste alone, and the page that came out of it is stronger than the one before. -

-

- That's the case for dogfooding in this category. Not "we use our tool because the marketing is convenient" — but "we use our tool because the engine sees patterns we miss, and the only way to catch the bugs in the engine is to be the user with the strongest feedback loop." -

- -

Related reading

- -
- -
- Run it on your project -

One engine. Three install paths.

-

The same recommender that flagged our own homepage as a Claude clone is available for your brief. 84 styles, 176 palettes, 73 brand specs, 51 lint rules. MIT, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/figma-vs-ux-skill.html b/landing/blog/figma-vs-ux-skill.html deleted file mode 100644 index 2defe98..0000000 --- a/landing/blog/figma-vs-ux-skill.html +++ /dev/null @@ -1,780 +0,0 @@ - - - - - - - - - Figma MCP vs ux-skill — design intelligence in your AI coding session - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Comparison · 2026-05-28 -

Figma MCP vs ux-skill — design intelligence in your AI coding session.

-

- Both ship as MCP tools you load into Claude Code, Cursor, or any IDE that speaks Model Context Protocol. Both promise design intelligence. But they solve different problems: Figma MCP imports an existing design from a file, ux-skill generates one from a written brief. Most teams who ask "Figma MCP vs ux-skill" actually need both. -

-

By the ux-skill team · 6 min read · MIT-licensed open source

- -

The fundamental difference

-

- Figma MCP is an importer. You point it at a Figma file URL or node ID, and it returns structured data the AI session can read — frames, layers, components, variables, styles, code-connect mappings. The design already exists; the MCP brings it into the coding context. -

-

- ux-skill is a generator. You write a brief — "fintech neobank, MENA market, conservative tone, partner-facing dashboard" — and it returns a recommended design system: style + palette + type + motion + components. There's no source Figma file. The brief is the input. -

-

- If you already designed it in Figma, use Figma MCP. If you're starting from a written brief and need the system to exist, use ux-skill. The two paths are orthogonal. -

- -

Side-by-side

-
-
- -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
DimensionFigma MCPux-skill v2
Primary roleImporter — read existing Figma file into AI sessionGenerator — produce a new design system from a brief
InputFigma file URL, node ID, or component link10-field discovery (industry, audience, brand, tone, constraints…)
OutputFrame/layer JSON, variable defs, code-connect mappings, asset URLstokens.css, manifest.json, 22 chained slash commands, brand DESIGN.md
Source of truthThe Figma file (canvas)The brief + 1,243 structured entries in the engine
Requires a Figma accountYes (with file access)No
Catalog size— (your file is the catalog)1,243 entries — 84 styles, 176 palettes, 70 type pairs, 57 motion, 160 brand specs
Anti-slop linter—120 deterministic regex rules
Best forCode from existing design — implement what the designer drewDesign from scratch — pick a system when no design file exists
CostFree (Figma free tier) + a paid plan for some featuresFree, MIT, no account
LicenseProprietary (Figma)MIT (open source)
-
-
- -
-
-

What Figma MCP is good at

-

- When a designer already laid out the screens in Figma, Figma MCP is the right tool. The designer shipped a frame; the AI session reads it; the engineer asks for "implement the dashboard layout from frame X." The model returns code that maps frame nodes to JSX/Blade/Vue components. -

-

- Strong surfaces for Figma MCP: -

-
    -
  • Pixel-faithful implementation. The frame is the spec. Padding, font size, hex code — all queryable.
    • -
  • Variable extraction. Figma variables (color tokens, spacing tokens) come into the session as named tokens the model can reference.
    • -
  • Code-connect. If your design system has code-connect mappings, the MCP returns the import path and prop signature for each component.
    • -
  • Auto-layout to flexbox. Figma's auto-layout translates cleanly to flexbox / grid; the MCP carries the constraints through.
    • -
  • Asset URLs. Images, SVGs, and component thumbnails are addressable.
    • -
- -

Where Figma MCP can't help

-

- If the design doesn't exist yet, Figma MCP has nothing to import. The "make me a dashboard" prompt without a Figma file falls back to the model's defaults — the same defaults that produce Inter at 90px and indigo-to-blue gradients. Figma MCP makes existing design accessible; it doesn't make design decisions. -

- -

What ux-skill is good at

-

- ux-skill is the inverse path. The team has a brief, not a design file. The 10-field discovery in /ux-frame takes 15 minutes; the recommender in /ux-recommend returns a design system in seconds. The output is the seed for what gets drawn later — in code first, optionally back into Figma after. -

-

- Strong surfaces for ux-skill: -

-
    -
  • From-brief generation. No design file required. The 10-field intake produces the spec.
    • -
  • Style + palette + type + motion + components as a coordinated recommendation, not five separate decisions.
    • -
  • 160 brand DESIGN.md specs. Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, and 84 more. If the brief mentions a brand, the recommender pulls in the spec.
    • -
  • 120-rule deterministic linter. Once code is generated, the linter catches drift from the recommended system.
    • -
  • 22 chained commands. Discovery → recommend → design → critique → a11y → copy → motion → lint → fix → polish → case-study → handoff.
    • -
  • Tokens.css output that drops into Tailwind config or any CSS-variable-based system.
    • -
- -

Where ux-skill can't help

-

- If the design is already drawn in Figma and the team wants pixel-faithful implementation, ux-skill is the wrong tool. ux-skill generates a system; it doesn't import one. You can ingest a Figma file's variable defs into ux-skill's recommender as seed values, but that's manual paste, not a live connection. -

- -

The complementary use case

-

- The realistic workflow is both. Most teams who ask the question end up using them in sequence: -

- -
-
-

Greenfield project (no Figma yet)

-
    -
  1. Run /ux-frame for the 10-field discovery.
    2. -
  2. Run /ux-recommend — get style, palette, type, motion, components.
    3. -
  3. Run /ux-design — generate Blade/JSX/Vue surfaces in the system.
    4. -
  4. Run /ux-lint — catch any fingerprints that drifted in.
    5. -
  5. Optional: Export tokens.css back to Figma variables for the designer to refine.
    6. -
-
-
-

Existing Figma file (designed first)

-
    -
  1. Load Figma MCP. Point at the file URL.
    2. -
  2. Read frames, variables, code-connect into the session.
    3. -
  3. Ask the model to implement frame X as a Blade/JSX component.
    4. -
  4. Run ux-skill's /ux-lint on the implementation to catch slop the Figma frame didn't define.
    5. -
  5. Iterate in Figma; re-import via MCP; re-implement.
    6. -
-
-
- -

- Notice the linter shows up in both flows. Even when the design comes from Figma, the AI-generated implementation can still ship Inter at 90px or a centered hero. ux-skill's 120-rule linter catches the implementation-layer slop regardless of where the design came from. -

- -

When the two overlap

-

- There is a thin overlap — when you have a partial Figma file (logo, brand colors, type) and need to extend it into a full system the designer hasn't drawn yet. Figma MCP gives you the seed values; ux-skill's recommender takes those seeds plus the discovery brief and returns a complete system that the designer can refine back in Figma. -

- -

Practical example

-

- The designer drew the logo, picked the brand color, and laid out the marketing hero. They didn't draw the settings page, the table views, or the empty states. Workflow: -

-
    -
  1. Figma MCP reads the brand color (an accent token) and the logo SVG.
    2. -
  2. You paste both into ux-skill's /ux-recommend as seed values: the brand token plus a brand spec ("warm minimal").
    3. -
  3. ux-skill returns the full system — palette (anchored on the brand color), type pairing, motion preset, component shapes for the surfaces the designer hasn't drawn.
    4. -
  4. You generate the settings page / table / empty states in code.
    5. -
  5. Optionally export the new tokens back to Figma variables for the designer to align.
    6. -
- -
-
Honesty card
-

Figma MCP and ux-skill are complementary, not competitive.

-

We don't claim ux-skill replaces Figma MCP. Figma is the source of truth for any design that's been drawn. ux-skill is the source of truth for any design that hasn't been drawn yet — when the input is a brief, not a file.

-

If your team has a Figma file for everything, install Figma MCP and skip ux-skill's generator (but keep the linter for the implementation lane). If your team starts from a brief and codes the first version, install ux-skill (and add Figma MCP later when the designer joins).

-
- -

The MCP plumbing

-

- Both run as MCP servers. Both load into Claude Code via .mcp.json at project root or via the Claude Code marketplace. Both respect the same Model Context Protocol message types. -

-

- ux-skill is also installable via pip and npx, not just MCP, so it works in IDEs without an MCP host — Cursor, Windsurf, Aider, Continue. Figma MCP requires an MCP-capable client. -

-

- See install paths for Cursor and install paths for Windsurf for the non-MCP routes. -

- -
- Figma MCP brings the design that exists into the AI session. ux-skill brings the design that doesn't exist yet into the AI session. -
- -

So which should you install?

- -

Install Figma MCP if

-
    -
  • The design is already drawn in Figma and you need to implement it in code.
    • -
  • Your team has a mature design file with components, variables, and code-connect.
    • -
  • The bottleneck is "translating Figma to code," not "deciding what to design."
    • -
- -

Install ux-skill if

-
    -
  • The design doesn't exist yet — you're starting from a written brief.
    • -
  • You need a 120-rule linter that catches AI slop in any generated code, Figma-derived or not.
    • -
  • You're working in Cursor, Windsurf, Aider, or any IDE without an MCP host.
    • -
  • You want 160 brand DESIGN.md specs as queryable manifests when the brief mentions a brand by name.
    • -
- -

Install both if

-
    -
  • You have a partial design file and need to extend it into the surfaces the designer hasn't drawn.
    • -
  • You want the linter to run on Figma-derived implementations to catch implementation-layer slop.
    • -
  • You're building a design-to-code pipeline where Figma is the canvas and ux-skill is the recommender + audit.
    • -
- -

- Figma MCP and ux-skill don't compete. They sit in different parts of the design-to-code arc — one reads what exists, one generates what doesn't. Pick by where your bottleneck is. -

- -

Related reading

- -
- -
- Install ux-skill alongside Figma -

One engine. Three channels. Pairs with Figma MCP.

-

ux-skill ships through pip, npx, and the Claude Code marketplace. Compatible with Figma MCP — run both in the same session.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - -
- - - - - - diff --git a/landing/blog/github-copilot-design-rules.html b/landing/blog/github-copilot-design-rules.html deleted file mode 100644 index 883a26f..0000000 --- a/landing/blog/github-copilot-design-rules.html +++ /dev/null @@ -1,703 +0,0 @@ - - - - - - - - - GitHub Copilot design rules: how ux-skill catches AI design fingerprints in Copilot output - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Copilot · 2026-05-28 -

GitHub Copilot design rules: catching AI design fingerprints in Copilot output.

-

- GitHub Copilot is the most-installed AI coding assistant in the world. It is also the assistant most consistently flagged for generating the same default-looking Tailwind UI. Copilot accepts custom instructions, but custom instructions alone do not catch the 68 specific patterns the model reaches for. ux-skill is a deterministic linter that runs on top of Copilot output and flags every pattern by line number. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

Why Copilot has a design problem

-

- Copilot is excellent at code completion. It was trained on the bulk of public code on GitHub, which means it has seen every variation of every common pattern. When you ask Copilot to design a landing page, it reaches for the median of what its training data showed: Inter as display, the canonical purple-to-blue gradient, three identical pricing cards, and the "Get started"/"Learn more" CTA pair. -

-

- This is not a bug. Copilot is doing exactly what it was designed to do — predict the most probable continuation of the prompt. The problem is that "most probable" on design tasks converges to a recognizable look that ships everywhere. We catalog that look in detail in the AI design fingerprints post. -

-

- Copilot has two extension points worth knowing: a custom-instructions surface (per repo) and a code-completion stream that is consumable by external tools. ux-skill plugs into both. -

- -

The custom instructions file

-

- Copilot reads project-level instructions from .github/copilot-instructions.md. Anything in that file becomes part of the system context for every Copilot suggestion in that repo. ux-skill ships a generator that writes a Copilot-flavored rules file based on the recommender output. -

- 
# Initialize ux-skill for Copilot in your repo
-$ uxskill init --target copilot
-
-[OK] Wrote .github/copilot-instructions.md
-[OK] Wrote .ux/design-system/MASTER.md
-[OK] Wrote tokens.css
-

- The generated file is intentionally short. Copilot's system context has a token budget; verbose rules get truncated. ux-skill condenses the 152 anti-patterns into a single 30-line block plus a reference to .ux/design-system/MASTER.md for deeper context. -

- -

A real .github/copilot-instructions.md

-

- Here is the file ux-skill generates for a Next.js project after running discovery for a B2B logistics platform: -

- 
# Copilot instructions — logistics-platform
-# Generated by ux-skill v2.0.0-alpha.1 — 2026-05-28
-
-This project uses the editorial-precise design system at .ux/design-system/MASTER.md.
-Read that file before generating any visual code.
-
-Hard constraints for every generation:
-
-1. Display type is Fraunces (variable opsz). Body is Inter. Mono is JetBrains Mono.
-   Do NOT use Inter as a display font (font-size ≥ 40px or text-5xl and above).
-
-2. Color: cool-neutral surface with a single warm accent. No gradient hero.
-   No purple-to-blue gradient family (the #7c3aed / #3b82f6 default). No multi-stop
-   gradient with more than three color stops.
-
-3. Layout: asymmetric. No three-equal-card row in a hero or pricing block.
-   Use a 7-and-5 split, a bento grid, or a 4-with-one-spanning pattern.
-
-4. Motion: hierarchy-aware. Hero opens; supporting content cascades. Differentiate
-   by role — do NOT fade-in-up every direct child. Respect prefers-reduced-motion.
-
-5. Copy: no marketing verbs (Elevate, Seamless, Unleash, Revolutionize, Empower,
-   Supercharge, Transform) in headlines. No generic CTAs (Click here, Learn more).
-   Use plausible regional names: Maya Iqbal, Adam Levin, Wen Zhang, Layla Haddad.
-
-6. Accessibility: every img has alt + width + height. Every interactive svg has
-   aria-label or aria-hidden. No outline:none without focus-visible. No
-   placeholder-as-label.
-
-7. Tokens: import from tokens.css. Do not hardcode hex values where a variable exists.
-

- Seven rules, mapped to the categories the linter enforces. Copilot reads this on every completion and biases away from the defaults. The linter then catches what slips through anyway. -

- -

The deterministic linter runs over what Copilot writes

-

- Custom instructions raise the floor. They do not set the ceiling. The model still drifts, especially on long generations or when the surrounding code already contains a fingerprint and Copilot pattern-matches against it. -

-

- The deterministic floor is the linter. Run it on the diff Copilot just generated, and any fingerprint that survived the instructions surfaces with a line number, severity, and fix. -

- 
# Lint the file Copilot just wrote
-$ uxskill lint src/components/Hero.tsx --threshold high
-
-[FAIL] 3 findings at threshold high · exit 1
-
-  high  inter-as-display          src/components/Hero.tsx:18
-                                  Inter used as display font
-                                  fix: pair Inter (body) with Fraunces / Geist / Satoshi
-
-  high  purple-to-blue-gradient   src/components/Hero.tsx:42
-                                  Default purple-to-blue AI gradient
-                                  fix: single restrained accent against neutrals
-
-  high  three-equal-card-grid     src/components/Hero.tsx:96
-                                  Three equal cards in a row
-                                  fix: asymmetric layouts (bento, 7-and-5, 4 with one spanning)
-

- No LLM call, no token budget, no flakiness. The linter is regex over JSON. Average pass on a 200-file repo: 380 milliseconds cold, 90 milliseconds warm. Documented in the regex linter post. -

- -

Copilot plus ux-skill, side by side

-

- Same prompt to Copilot Chat: "build a hero section for a payments dashboard." -

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
SurfaceCopilot aloneCopilot plus ux-skill
Display typeInter at text-7xlFraunces variable at text-6xl
BackgroundTailwind purple-to-blue gradientCool-neutral surface, single warm accent
LayoutThree equal pricing cards7-and-5 split with one feature spanning
Hero copy"Beautiful payments, seamlessly""The reconciliation layer your finance team never shipped"
CTA"Get started" / "Learn more""Book a 20-minute demo" / "See the data flow"
Motionfade-in-up on every childHero opens; supporting content cascades
Lint result3 high findings, 4 medium0 high, 0 medium
-
- -

- Same Copilot. Same prompt. Different generation, because the custom instructions and the linter make defaults expensive and explicit choices easier. -

- -
- Copilot is a great accelerator. ux-skill is the constraint layer that makes its output specific. -
- -

The two install paths

-

- Two ways to wire ux-skill into a Copilot workflow. Pick one or both. -

- -

Path A — instructions file plus local linter

- 
$ pip install uxskill
-$ uxskill init --target copilot   # writes .github/copilot-instructions.md
-$ uxskill discover                # 10-field brief, saves to .ux/last-discovery.json
-$ uxskill recommend               # runs 5-parallel-search, picks the system
-$ uxskill persist save --project-root .
-
-# Then, after Copilot generates code:
-$ uxskill lint src/ --threshold high
-

- The instructions file biases Copilot during generation. The linter catches drift after. Both run locally; neither requires a Copilot API key or any GitHub-side configuration. -

- -

Path B — GitHub Actions gate

-

- For repos where you want a non-negotiable design floor, wire the linter into GitHub Actions. Every PR push runs the linter; high-severity findings block the merge. -

- 
# .github/workflows/ux-lint.yml
-name: ux-lint
-
-on:
-  pull_request:
-    paths:
-      - '**/*.tsx'
-      - '**/*.jsx'
-      - '**/*.vue'
-      - '**/*.css'
-      - '**/*.html'
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - run: pip install uxskill
-      - run: uxskill lint --threshold high
- -

What ux-skill ships for Copilot users

-
    -
  • 68 deterministic regex rules in the anti-slop linter. No LLM judgment.
    • -
  • One .github/copilot-instructions.md generator via uxskill init --target copilot.
    • -
  • 959 structured entries across 12 JSON manifests covering styles, palettes, type pairs, motion, components, industries, brands.
    • -
  • 160 brand DESIGN.md specs. Reference them in the instructions file so Copilot has concrete exemplars.
    • -
  • 5-parallel-search recommender that picks the system from a 10-field brief in about 140 milliseconds.
    • -
- -

What ux-skill does not do for Copilot

-

- Be specific about the limits: -

-
    -
  • No Copilot-side intercept. The linter runs against files on disk, not against the Copilot completion stream. Closing that loop would require a VS Code extension; we ship a generator and a CLI, not an extension.
    • -
  • No Copilot Chat plugin. Copilot Chat does not expose a third-party plugin API the way Claude Code does. The integration surface is the instructions file plus the linter.
    • -
  • Not a code generator. ux-skill picks the system; Copilot generates the code; the linter catches drift. Three lanes, deterministic at the edges.
    • -
- -
-
Honesty card
-

The honest framing of the integration.

-

This is a partial integration. Copilot is closed source; we cannot intercept its completion stream. What we can do is shape the instructions Copilot reads and lint the code it writes. Both are mechanical, deterministic, and offline.

-

If you want the deepest possible integration, install ux-skill as a Claude Code plugin too and use Claude Code as your primary design surface, with Copilot as the autocomplete-everywhere layer. The two coexist comfortably.

-
- -

The 5-minute Copilot setup

-

- End to end from a fresh checkout, Copilot already configured: -

-
    -
  1. pip install uxskill — about 6 seconds.
    2. -
  2. uxskill init --target copilot — writes .github/copilot-instructions.md and the .ux/ directory.
    3. -
  3. uxskill discover — 10-field interactive brief, about 90 seconds typing.
    4. -
  4. uxskill recommend — about 200 milliseconds.
    5. -
  5. uxskill persist save --project-root . — writes MASTER.md, tokens.css, manifest.json.
    6. -
  6. Commit those files. Copilot reads them on the next completion.
    7. -
  7. Run uxskill lint src/ after any significant generation. Block on high or critical.
    8. -
-

- Total wall-clock from pip install to working linter: under five minutes. Total cost: zero. License: MIT. No telemetry, no API key, no account. -

- -

How it compares to Copilot custom instructions alone

-

- Copilot has had custom instructions for some time. Why does the linter add anything? -

-
    -
  • Instructions are advisory. The model can ignore them, especially on long generations.
    • -
  • Instructions are unverifiable. There is no signal that they were followed.
    • -
  • The linter is verifiable. It is regex over the file Copilot wrote. Either the pattern matched or it did not.
    • -
  • The linter is auditable in CI. Every PR gets a deterministic report, attached as an artifact, reviewable by anyone.
    • -
-

- The instructions reduce the rate of slop. The linter sets the non-negotiable floor. Use both. -

-
- -
- Install for Copilot -

One command. Instructions file plus linter.

-

The full ux-skill engine works with Copilot through two surfaces: a generated .github/copilot-instructions.md and a deterministic linter that runs on disk after Copilot writes.

- -
-
$ pip install uxskill
-
$ uxskill init --target copilot
-
$ uxskill lint src/ --threshold high
-
— or via npx —
-
$ npx uxskill@alpha init --target copilot
-
— or as a Claude Code plugin alongside Copilot —
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/index.html b/landing/blog/index.html deleted file mode 100644 index 55244ca..0000000 --- a/landing/blog/index.html +++ /dev/null @@ -1,972 +0,0 @@ - - - - - - - - - Blog — ux-skill: design intelligence engine for AI coding - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - -
- Blog · plugin landscape · design engineering -

Articles on AI coding's design problem.

-

- Honest write-ups on Claude Code design plugins, AI design slop fingerprints, and - what a Python-engine pivot looks like. Posts compare against real GitHub competitors - and cite live star counts. -

- - -
-
- - - - - - - diff --git a/landing/blog/ja/vibe-coding-design.html b/landing/blog/ja/vibe-coding-design.html deleted file mode 100644 index c59069f..0000000 --- a/landing/blog/ja/vibe-coding-design.html +++ /dev/null @@ -1,611 +0,0 @@ - - - - - - - - - 「Vibe coding」でAIが書いたUIが毎回同じに見える本当の理由 — ux-skill - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · 日本語 · 2026-05-28 -

「Vibe coding」でAIが書いたUIが
毎回同じに見える本当の理由

-

- 「バイブコーディング」は、雰囲気を言葉で説明してモデルに実装させる開発スタイルだ。速度は本物で、もう後戻りはしない。問題は、出力されたUIが毎回「生成された感じ」に見えることだ。同じ書体の極大サイズ、同じグラデーション、同じ3カードのグリッド。ux-skillは、バイブの下に敷くルールレイヤとして、マージ前にその既定値を捕まえる。 -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

「Vibe coding」とは結局なんなのか

-

- この言葉は2026年2月のXのスレッドで半分冗談として広まり、4月にはVCのエッセイの表紙に載った。真面目に定義し直すと、「意図を自然言語で書き、モデルが実装を形にし、人間の仕事はタイピングからレビューへ移る」開発スタイルだ。Andrej Karpathyの最初の定式化は、はっきりこう言っていた——あなたはコードを書かない、コードを操縦するのだ、と。 -

-

- フロントエンドの仕事では、このバイブは非常に切れ味がいい。一回のプロンプトでヒーロー、ナビ、サインアップが動く形で出てくる。CursorやClaude Codeのセッションでは、アイデアから動くページまでのラウンドトリップは、いまや時間ではなく分で測られる。 -

-

- そのトレードオフは、センスだ。モデルには自前の好みがある——2021〜2024年の狭いスタートアップランディング美学に偏重した学習データから焼き付けられた好みだ。押し返す何かがなければ、バイブはいつも同じ場所に着地する。 -

- -

AIの「指紋」、ひとつの段落で説明する

-

- ボディフェイスが88〜96ピクセル前後のディスプレイサイズに引き伸ばされている。インディゴからバイオレットを通って青の終端まで広がる多段階グラデーションが白の上に乗っている。ヒーローの下に同一のカードが3つ、3カラムグリッドで並ぶ——小さなアイコン、一語のタイトル、一文のサブタイトル。プロダクト固有の名詞が入るべき場所にプレースホルダーのコピーが入っている。Windowsの ClearType で破綻するヘアラインの100ウェイト本文。すべてのセクションのすべての直接子要素に同じフェードインアップが付いている。 -

-

- 個別に見れば、どれも間違いではない。指紋になるのは「組み合わせ」だ。1つを見て肩をすくめる。同じ折りに4つ見えた時点で、どのツールが生成したか分かる。 -

-
- バイブコーディングは速度をくれた。既定値は、すべてのサイトを同じに見せる原因になる。 -
- -

プロンプトだけで解決できない理由

-

- とっさの対処は、プロンプトにテキストを足すことだ。「既定のグラデーションを使うな」「セリフのディスプレイフェースを使え」「同一カードを3つ並べるな」。これは1画面では効く。次のプロンプトでは忘れる。プロンプトだけのステアリングは確率的で、コンテキスト長とともに減衰する。 -

-

- 必要なのは決定論的な床——モデルが書いた後で毎回走り、ループの中にLLMを置かないチェックだ。これがux-skillが埋めるギャップだ。レコメンダーが先にモデルの選択肢を絞り、リンターが、既定値がすり抜けたときにモデルを罰する。 -

- -

ux-skillがバイブの流れに入る位置

-

- パッケージは単体のPythonモジュールで、インストール経路は3つ——Claude Codeプラグイン、pip install uxskill、またはnpx uxskill。導入後、エンジンは17のIDEで動く22のコマンドを公開する。よく使う4つでバイブのループを端から端までカバーできる。 -

- -
- - - - - - - - - - - - - - - -
ステップコマンド役割出力
1. ブリーフux discover10項目の強制問診——プロジェクト種別、対象、トーン、必須、禁忌、参照。.ux/last-discovery.json
2. システムux recommend998件のカタログに対して並列5検索——業界、スタイル、パレット、書体、モーション——をマージして1つのシステムに統合。tokens.css · manifest.json
3. 生成任意のバイブコーディングツールCursor、Claude Code、Cline、Codex、Windsurf、Aider——プロンプトを発したものが、そのトークンに対して書く。リポジトリ内のコンポーネントコード
4. ゲートux lint生成コードに対して100の決定論的正規表現ルール。LLMコストはゼロ。highまたはcritical所見が出た時点で非ゼロ終了。JSON所見 · CI失敗
-
- -

- ブリーフは2分。レコメンダーは2023年のMacBook Airで3秒以下。リント本体は200ファイルのNext.jsリポジトリでウォーム時90ミリ秒。これらのどのステップも、サードパーティAPIへのトークン課金を要求しない。インストール後、ループ全体がオフライン稼働可能だ。 -

- -

ブリーフは強制機能

-

- バイブコーディングで最も大きな効きを持つたった1手は、最初のプロンプトを書く前にブリーフを書くこと。モデルは制約を必要とし、人間は委任する前に選択肢と向き合う必要がある。 -

-

- ux discoverはインタラクティブなプロンプトで、10のフィールドを順に問う。順序は固定——プロジェクト種別、対象、主目的、3〜5語のトーン、必須、禁忌リスト、ブランドの参照、密度、モーション予算、アクセシビリティの床。実際に効くのは「禁忌」フィールドだ。ここで、避けたい既定値を名指しする。 -

- 
$ ux discover
-
-[project_type]      landing
-[audience]          日本のスタートアップ向けB2B SaaS、社員10〜50名
-[primary_goal]      デモ予約
-[tone]              precise, calm, confident, technical
-[must_have]         WCAG AA、44px タッチ領域
-[forbidden]         本文書体のディスプレイ転用、3カードの均等並び、
-                    白上の広域グラデーション、ヘアライン100ウェイト、
-                    全要素へのフェードインアップ
-[references]        Stripe (clarity), Linear (density), Arc
-[density]           comfortable
-[motion]            subtle, scroll-triggered, no autoplay
-
-# .ux/last-discovery.json に保存
- -

- 以降のコマンドはこのファイルを読む。レコメンダーは禁忌リストを使ってパレットとモーションプリセットの候補を絞り、リンターは必須リストを使ってデフォルトのしきい値を引き上げる。 -

- -

100ルールの中身、ひとつの段落で

-

- 現在のリントカタログは100エントリで、v2.0.0時点の35から増えた。各ルールは正規表現と、重大度(low、medium、high、critical)、カテゴリ(Typography、Color、Layout、Content、Motion、A11y、Quality、Visual、Performance)、一行の理由、一行の修正提案を持つ。 -

-

- 最も重大度の高いエントリは、AIの指紋に直接マップする——本文書体のディスプレイ転用、白上の広域グラデーション、3カード均等パターン、プレースホルダー名のリーク、絵文字アイコンのスタンプ、見出しのマーケティング動詞、インラインスタイル属性、ヒーロー画像の alt 欠落、ピンチズームを止めるビューポートタグ。どれもLLM呼び出しを必要としない。すべてミリ秒単位で動く。 -

-

- 完全な分類はAIデザイン指紋リストに、エンジニアリングの解説は正規表現リンターの記事にある。同じエンジン、2つの角度。 -

- -

エディタの中で何が変わるか

-

- Claude Code、Cursor、Windsurf、Cline、Continue、Codex、Aider、Roo Codeのいずれかにux-skillを入れると、ワークフローは次の流れになる。 -

-
    -
  1. プロンプトを書く。モデルにはデザインシステムが文脈として渡っている(各IDEはtokens.css+manifest.jsonと、エンジンが書き出したIDE別ルールファイル——.cursorrules、CLAUDE.md、.windsurfrules——を読む)。
    2. -
  2. モデルは既定値ではなく、ブランド固有のトークンでコードを書く。
    3. -
  3. ファイルを保存する。pre-commitフックがリントを実行する。差分にhighの所見が含まれていれば、コミットはルールID、行、修正提案とともに中止される。
    4. -
  4. モデルに修正を頼む。コンテキストウィンドウにはルールIDが入っている。修正は数秒で着く。
    5. -
  5. 次のコミットは通る。
    6. -
-

- 頭の中で出力と自分のセンスを比較する手動レビュー工程はもうない。センスはブリーフ、システム、リントに住む。あなたはバイブモードに留まり、レールがバイブを溝に落とさないように支える。 -

- -

純粋なプロンプトステアリングとの正直な比較

-
- - - - - - - - - - - - - - - -
方式ルールの所在チェック単価1000行後のドリフト
プロンプトのみ.mdの指示ブロック0高 · 文脈減衰
LLMジャッジ(CI)ClaudeまたはGPTのプロンプト~$0.04/プッシュ中 · 非決定的
独自ESLintプラグインJS AST ルール~200ms低 · ただし自作
ux-skill lint100の正規表現 · 998件カタログ~90ms低 · 決定論的
-
- -
-
正直な適用範囲
-

正規表現が捕まえるのは構造的指紋、センスではない。

-

リントが「このセクションのリズムは違う」「コピーが冷たく読める」と判定することはない。それはレビューの仕事だ。正規表現が確実に捕まえるのは、リテラルなトークン、クラス名、16進値、DOMの形を持つすべての指紋——つまりAIの既定値の大半だ。なぜならモデルは毎回同じアーティファクトに手を伸ばすからだ。

-

リントの上にセンスのパスを置きたければ、同じパッケージに/ux-critiqueが同梱されていて、エディタ内で要求時に動く。これを意図的にCIで走らせないのは、CIが決定論的な床のためにある場所だからだ。

-
- -

CursorとClaude Codeへの具体的な接続

-

- Cursorはリポジトリルートの.cursorrulesと、その下の.cursor/rules/*.mdcを読む。Claude CodeはリポジトリルートのCLAUDE.mdと、プロジェクトスコープの~/.claude/projects/<hash>/CLAUDE.mdを読む。ux-skillは同じ推奨から両方を書く。真実の源は1つ(.ux/design-system/MASTER.md)、派生物が3つ(Cursor、Claude Code、素のtokens.css)だ。 -

-

- 手順書: - Cursorへの導入、 - Windsurfへの導入、 - GitHub Copilotへの導入、 - Zedへの導入。 -

- -

バイブは速度。ルールは床。

-

- 2026年の興味深い議論は、バイブコーディングが勝つかどうかではない——千行以下のタスクではすでに勝っている。興味深い議論は、その出力がインターネット上のあらゆる他のバイブコーディングのページと同じに見え続けるか、それともチームが床を敷くかだ。 -

-

- ux-skillはその床だ。100ルール、998件のカタログエントリ、110のブランド仕様、22のコマンド、17のIDE、エンジン下の75のテスト。MITライセンス。テレメトリなし。レコメンダーがモデルの中央値を引き上げ、リンターが床を定める。バイブはあなたのものだ。 -

- -

関連記事

- -
- -
- レールを入れる -

1パッケージ、3つの導入経路、100ルール。

-

レコメンダー、リンター、22コマンド、110のブランド仕様すべてが同梱。リント単体はサブ秒、それ以外はオンデマンド。MITライセンス。テレメトリなし。アカウント不要。

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— または —
-
$ pip install uxskill
-
— または —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/jetbrains-ai-design-system.html b/landing/blog/jetbrains-ai-design-system.html deleted file mode 100644 index 37c4c77..0000000 --- a/landing/blog/jetbrains-ai-design-system.html +++ /dev/null @@ -1,750 +0,0 @@ - - - - - - - - - JetBrains AI Assistant design system rules — keeping IntelliJ + WebStorm generations on-brand - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · JetBrains · 2026-05-28 -

JetBrains AI Assistant design rules — keeping IntelliJ and WebStorm generations on-brand.

-

- JetBrains AI Assistant ships in IntelliJ, WebStorm, PyCharm, GoLand, RubyMine, and the rest of the suite. It is excellent at refactoring and code completion. On design tasks, it reverts to the same model defaults every other AI surface produces — Inter as display, the canonical purple-to-blue gradient, three identical cards. ux-skill wires into JetBrains AI through the custom instructions surface and a CLI-driven linter that runs in the integrated terminal. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

Why JetBrains projects hit the design problem

-

- A typical JetBrains project is backend-led: a Spring Boot API in IntelliJ, a Kotlin service, a Python data pipeline in PyCharm, a Go service in GoLand. The frontend often sits adjacent as a small Next.js or Vue app generated quickly to expose the API. That frontend is where AI Assistant lands its defaults — because it is treated as the boilerplate part of the job. -

-

- The result is consistent across teams: a backend whose architecture took weeks of design thinking and a frontend whose visual choices took ten minutes. The frontend ends up looking like every other AI-generated frontend, because no one budgeted the cognition for the brief. -

-

- ux-skill is the forcing function for that brief. The 10-field discovery takes 90 seconds. The recommender returns a design system. The linter catches drift on the way back. JetBrains AI generates the code; ux-skill enforces the rails. -

- -

Where JetBrains AI reads instructions from

-

- JetBrains AI Assistant reads project context from a few sources. The most useful for design rules is the workspace AI Rules file at .junie/guidelines.md (the convention shared with JetBrains' Junie agent) or a project-level AI_ASSISTANT_GUIDELINES.md in the repo root. JetBrains AI also reads .cursorrules when present, for cross-IDE compatibility. -

-

- ux-skill generates a JetBrains-flavored rules file with uxskill init --target jetbrains. The generator writes a 30-line guidelines file plus a reference to .ux/design-system/MASTER.md for deeper context. -

- 
$ uxskill init --target jetbrains
-
-[OK] Wrote .junie/guidelines.md
-[OK] Wrote .ux/design-system/MASTER.md
-[OK] Wrote .ux/design-system/tokens.css
-[OK] Wrote .ux/design-system/manifest.json
- -

The .ux state directory is the source of truth

-

- Every ux-skill install writes into one directory: .ux/ at the project root. JetBrains AI reads files in this directory the same way it reads src/ — through the workspace context window. -

- -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FilePurposeRead by
.ux/last-discovery.json10-field brief, the human inputRecommender, regenerator
.ux/last-recommendation.jsonRecommender output, structuredpersist save, MCP server
.ux/design-system/MASTER.mdReadable design system source of truthJetBrains AI, humans, Claude Code
.ux/design-system/tokens.cssCSS custom propertiesYour app.css, Tailwind config
.ux/design-system/manifest.jsonStructured form of the recommendationlint, generate, MCP server
.junie/guidelines.mdJetBrains-flavored rules summaryJetBrains AI Assistant
-
- -

- Commit .ux/ and .junie/. The next JetBrains AI session reads them on startup. The state is repo-local, version-controlled, and deterministic — same brief, same files. -

- -

The tokens.css that lands in a Spring project

-

- A concrete example. Run discovery for a Spring Boot admin dashboard, audience is internal ops at a logistics company, tone is precise and technical, reference brands are Linear and Stripe, region is MENA, dark mode required. The recommender returns editorial-precise + cool-neutral + Fraunces-Inter + restrained motion. The persist save step writes this tokens.css: -

- 
/* .ux/design-system/tokens.css */
-/* Generated by ux-skill v2.0.0-alpha.1 — 2026-05-28 */
-
-:root {
-  /* Surface */
-  --surface: #f5f3ee;
-  --surface-2: #ece8df;
-  --ink: #1c1a17;
-  --body: #3f3d39;
-  --muted: #6e6c66;
-
-  /* Accent (single, restrained) */
-  --accent: #b5703f;
-  --accent-active: #945a30;
-
-  /* Type ramp */
-  --font-display: "Fraunces", "Cormorant Garamond", serif;
-  --font-body: "Inter", system-ui, sans-serif;
-  --font-mono: "JetBrains Mono", ui-monospace, monospace;
-
-  /* Spacing (4px base) */
-  --space-2: 8px;
-  --space-3: 12px;
-  --space-4: 16px;
-  --space-6: 24px;
-  --space-8: 32px;
-
-  /* Motion */
-  --ease-out: cubic-bezier(0.16, 1, 0.3, 1);
-  --duration-fast: 160ms;
-  --duration-normal: 220ms;
-}
-
-@media (prefers-color-scheme: dark) {
-  :root {
-    --surface: #1a1816;
-    --surface-2: #252320;
-    --ink: #f0ede5;
-    --body: #c8c4ba;
-    --muted: #807d75;
-  }
-}
-

- Note the choice of mono: JetBrains Mono. The recommender knows that a JetBrains-targeted project pairs well with the family. Import this file from your app.css or tailwind.config.js and every component built from there inherits the system. -

- -

The recommender output for a JetBrains project brief

-

- Here is what ux recommend returns for the brief above, running in IntelliJ's integrated terminal: -

- 
$ ux recommend
-
-[OK] Loaded brief from .ux/last-discovery.json
-[OK] 5 parallel searches complete · 156ms
-
-industry      logistics-saas-internal-ops    (score 0.89 / 184 entries)
-style         editorial-precise              (score 0.86 / 84 entries)
-palette       cool-neutral-warm-accent       (score 0.81 / 176 entries)
-type_pair     fraunces-inter-jetbrains-mono  (score 0.83 / 70 entries)
-motion        restrained-supportive          (score 0.78 / 57 entries)
-
-components    nav, kpi-strip, data-table, drawer, command-palette, toast
-brand_refs    Linear, Stripe, Vercel
-guardrails    35 anti-patterns at threshold high
-
-Recommendation saved to .ux/last-recommendation.json
-

- Two-hundred milliseconds, no LLM call. The components list reflects an internal admin dashboard (data-table, drawer, command-palette) rather than a marketing landing page (hero, social-proof, feature-strip). The recommender scores against the brief's project_type field, which was "app-dashboard." -

- -

The Kotlin angle — Compose Multiplatform projects

-

- Kotlin projects in IntelliJ that target Compose for Web or Compose Multiplatform consume tokens differently. Instead of CSS, ux-skill emits a Kotlin-friendly token object. The same recommendation translates to: -

- 
// build/generated/uxskill/Tokens.kt
-object Tokens {
-  val surface = Color(0xFFF5F3EE)
-  val surfaceAlt = Color(0xFFECE8DF)
-  val ink = Color(0xFF1C1A17)
-  val accent = Color(0xFFB5703F)
-
-  val fontDisplay = FontFamily(Font(R.font.fraunces_variable))
-  val fontBody = FontFamily(Font(R.font.inter_variable))
-
-  val space2 = 8.dp
-  val space4 = 16.dp
-  val space6 = 24.dp
-
-  val durationFast = 160
-  val durationNormal = 220
-}
-

- Generated by uxskill generate --target compose. The same recommendation can emit CSS, Tailwind config, or Kotlin tokens. The system is the contract; the emitted format adapts to the stack. -

- -

Three install paths in JetBrains

- -

Path A — pip install plus integrated terminal

-

- Open IntelliJ's terminal pane. Install ux-skill globally: -

- 
$ pipx install uxskill
-$ ux discover                 # 10-field brief
-$ ux recommend                # 5-parallel-search
-$ ux init --target jetbrains  # writes .junie/guidelines.md
-$ ux persist save --project-root .
-

- JetBrains AI reads .junie/guidelines.md on the next session. The linter runs from the same terminal whenever you want to gate a generation. -

- -

Path B — pre-commit hook

-

- If your JetBrains project uses pre-commit (most modern Kotlin or Spring repos do), register ux-skill as a hook so the linter runs before any commit: -

- 
# .pre-commit-config.yaml
-repos:
-  - repo: local
-    hooks:
-      - id: uxskill-lint
-        entry: uxskill lint --threshold high
-        language: python
-        additional_dependencies: [uxskill]
-        files: \.(tsx|jsx|vue|css|scss|html)$
- -

Path C — MCP server for the agent

-

- JetBrains AI Assistant gained MCP support in 2025. Wire ux-skill as a stdio MCP server through the AI Assistant settings: -

- 
// Settings > Tools > AI Assistant > MCP Servers
-{
-  "uxskill": {
-    "command": "ux-mcp",
-    "args": []
-  }
-}
-

- After restart, the 14 ux-skill MCP tools are reachable from any AI Assistant prompt. Same engine as Claude Desktop and Zed, different host. Documented in the MCP post. -

- -
- IntelliJ is the IDE that already understood "treat your project as a domain model." ux-skill brings that mindset to the design surface. -
- -

Compose, Spring, or pure frontend — same engine

-

- ux-skill ships 25 tech-stack entries in data/tech-stacks.json. The relevant subset for JetBrains projects: -

- -
- - - - - - - - - - - - - - - - -
StackToken emit targetBest for
Spring Boot + ThymeleafCSS custom propertiesServer-rendered Java/Kotlin frontend
Spring Boot + Next.jsCSS + Tailwind configAPI + adjacent SPA
Kotlin + Compose WebKotlin objectCompose Multiplatform shared UI
Ktor + VueCSS + Vue pluginLightweight Kotlin API + Vue SPA
Django + HTMXCSS + Alpine configPyCharm full-stack
Rails + HotwireCSS + Stimulus valuesRubyMine full-stack
-
- -

- The recommender picks the appropriate target automatically from the stack field in the discovery brief. The persist step writes the right file format for that stack. -

- -

What ux-skill ships for JetBrains users

-
    -
  • 68 deterministic regex rules in the anti-slop linter.
    • -
  • Custom guidelines generator via uxskill init --target jetbrains, writes .junie/guidelines.md.
    • -
  • 959 structured entries across 12 JSON manifests.
    • -
  • 160 brand DESIGN.md specs.
    • -
  • 25 tech stack entries with token emit targets for Spring, Kotlin, Compose, Django, Rails, Ktor.
    • -
  • 14 MCP tools reachable from AI Assistant's MCP client.
    • -
- -

What it does not do

-
    -
  • No JetBrains plugin. ux-skill is a CLI plus an MCP server. It does not ship as a Marketplace plugin today. The integration surface is the terminal, the rules file, and MCP.
    • -
  • No live preview. Use JetBrains' built-in browser preview or pair with a dev server.
    • -
  • Not branded. ux-skill is 14 stars on GitHub. ui-ux-pro-max-skill is 84,005. The case for installing is architecture, not awareness.
    • -
- -
-
Honesty card
-

A JetBrains plugin is on the roadmap.

-

The current integration is CLI plus MCP. A native JetBrains Marketplace plugin would let us surface the recommender inside the AI Assistant chat without leaving the IDE. That is on the roadmap for v2.3 but not shipped yet.

-

The CLI plus MCP approach covers the full functionality today — you just live in the integrated terminal more than you might in a plugin-first world. That terminal is fast and right there.

-
- -

Five minutes to working

-

- End to end in IntelliJ, from a fresh checkout: -

-
    -
  1. pipx install uxskill in IntelliJ's integrated terminal.
    2. -
  2. uxskill init --target jetbrains — writes .junie/guidelines.md.
    3. -
  3. uxskill discover — 10-field interactive brief.
    4. -
  4. uxskill recommend — 5-parallel-search merge, about 200 ms.
    5. -
  5. uxskill persist save --project-root . — writes MASTER.md, tokens.css, manifest.json.
    6. -
  6. Restart AI Assistant. It reads the guidelines and the MASTER.md on the next prompt.
    7. -
  7. Generate visual code. Run uxskill lint src/ to catch drift.
    8. -
-

- Total wall-clock: under five minutes. Total cost: zero. License: MIT. -

-
- -
- Install for JetBrains -

One CLI install. All twelve IDEs.

-

ux-skill works in IntelliJ, WebStorm, PyCharm, GoLand, RubyMine, RustRover, CLion, PhpStorm, DataGrip, RubyMine, Rider, and Android Studio. Same Python engine, same integrated terminal, same files.

- -
-
$ pipx install uxskill
-
$ uxskill init --target jetbrains
-
$ uxskill lint src/ --threshold high
-
— or via npx if Python is not installed —
-
$ npx uxskill@alpha init --target jetbrains
-
— or as a Claude Code plugin alongside JetBrains —
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/ko/ai-coding-design-rules.html b/landing/blog/ko/ai-coding-design-rules.html deleted file mode 100644 index 2282a0b..0000000 --- a/landing/blog/ko/ai-coding-design-rules.html +++ /dev/null @@ -1,612 +0,0 @@ - - - - - - - - - AI 코딩 시대의 디자인 규칙 — 왜 모든 AI가 같은 UI를 만드는가 — ux-skill - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · 한국어 · 2026-05-28 -

AI 코딩 시대의 디자인 규칙 —
왜 모든 AI가 같은 UI를 만드는가

-

- Claude Code, Cursor, Cline, Windsurf, Codex가 같은 prompt를 받으면 거의 같은 화면을 내놓습니다. 본문 서체가 90 픽셀 헤드라인으로 늘어나고, 보라에서 파랑으로 흐르는 그라데이션이 흰 배경 위에 깔리고, 영웅 영역 아래 똑같이 생긴 카드 세 개가 줄을 섭니다. ux-skill은 이 "디폴트"가 머지되기 전에 잡아내는 결정론적 규칙 레이어입니다. 100개의 정규식, 998개의 카탈로그 항목, LLM 호출 0회. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

왜 모든 AI가 같은 화면을 만드는가

-

- 세 가지 힘이 겹쳐서 그렇습니다. -

-
    -
  1. 학습 데이터 편향. 2021–2024년 공개된 마케팅 사이트들이 좁은 YC·Vercel 스타일에 과도하게 치우쳐 있습니다. 모델은 그 미학을 "디폴트"로 학습합니다.
    2. -
  2. 보상 모델 편향. 학습 후 평가자들이 안전한 선택을 선호했습니다. 밝은 그라데이션과 둥근 카드는 1:1 비교에서 점수를 잘 받습니다. 보상 모델이 그 선호를 정책에 새겨 넣습니다.
    3. -
  3. 짧은 prompt. "X를 위한 마케팅 사이트를 만들어 줘" 같은 짧은 prompt는 모든 디자인 결정을 모델에게 맡깁니다. 모델은 매번 자기 분포의 중앙값을 고릅니다.
    4. -
-

- 결과는 한 가지로 수렴합니다. 같은 본문 서체가 같은 큰 사이즈로 늘어나고, 같은 그라데이션이 흰 배경에 깔리고, 같은 세 카드가 줄지어 들어옵니다. 모델이 "나쁜" 것이 아닙니다. 모델은 매번 안전한 중앙으로 손을 뻗고 있을 뿐입니다. -

-
- Vibe coding은 속도를 줬습니다. 디폴트는 모든 사이트가 똑같이 보이게 만드는 원인입니다. -
- -

AI의 디자인 지문, 한 문단으로

-

- 본문 서체가 88–96 픽셀의 디스플레이 사이즈로 늘어나고 행간이 1.0. 보라에서 파랑으로 가는 다단계 그라데이션이 흰 배경 위에 깔림. 영웅 영역 아래 3열 그리드에 똑같이 생긴 카드 세 개 — 작은 아이콘, 한 단어 제목, 한 문장 부제. 제품 고유 명사가 들어가야 할 자리에 일반 자리표시 카피. macOS Retina에서는 예뻐 보이고 Windows ClearType에서는 깨지는 100 무게의 본문. 모든 섹션의 모든 직속 자식 요소에 동일한 fade-in-up. -

-

- 하나씩 보면 어느 것도 틀린 게 아닙니다. 지문은 "조합"입니다. 하나를 보면 어깨를 으쓱하고, 같은 폴드에서 네 개를 보면 어느 도구가 생성했는지 알 수 있습니다. -

- -

prompt만으로는 왜 안 되는가

-

- 본능적인 대응은 prompt에 텍스트를 더 넣는 것입니다. "디폴트 그라데이션을 쓰지 마." "세리프 디스플레이 서체를 써." "똑같은 카드 세 개를 나란히 놓지 마." 첫 페이지에서는 효과가 있습니다. 다음 prompt에서는 잊어버립니다. prompt만으로 하는 조정은 확률적이며 컨텍스트 길이에 따라 감쇠합니다. -

-

- 워크플로에 필요한 것은 결정론적 바닥 — 모델이 쓴 뒤에 매번 도는, LLM이 루프에 들어가지 않는 검사입니다. 이것이 ux-skill이 메우는 공백입니다. 추천기가 모델의 선택지를 앞쪽에서 좁히고, 린터는 디폴트가 슬쩍 빠져나갈 때 모델을 벌합니다. -

- -

ux-skill이 vibe coding 워크플로에 끼는 위치

-

- ux-skill은 독립된 Python 패키지입니다. 설치 경로는 세 가지 — Claude Code 플러그인, pip install uxskill, 또는 npx uxskill. 설치 후 엔진은 17개 IDE에서 동작하는 22개 명령을 노출합니다. 가장 많이 쓰는 네 개로 vibe 루프 전체를 처음부터 끝까지 덮을 수 있습니다. -

- -
- - - - - - - - - - - - - - - -
단계명령역할산출물
1. 브리프ux discover10개 필드 강제 인터뷰 — 프로젝트 종류, 대상, 톤, 필수, 금기, 참조..ux/last-discovery.json
2. 시스템ux recommend998 카탈로그 위에서 병렬 5경로 조회 — 산업, 스타일, 팔레트, 서체, 모션 — 을 하나의 구조화된 시스템으로 병합.tokens.css · manifest.json
3. 생성임의의 vibe coding 도구Cursor, Claude Code, Cline, Codex, Windsurf, Aider — prompt를 쏜 도구가 토큰에 맞춰 코드를 씁니다.저장소 안의 컴포넌트 코드
4. 게이트ux lint생성된 코드에 대해 100개의 결정론적 정규식 규칙. LLM 비용 0. high 또는 critical 발견 시 즉시 비정상 종료.JSON 결과 · CI 실패
-
- -

- 브리프는 2분, 추천기는 2023년 MacBook Air에서 3초 이내, 린터 자체는 200 파일 Next.js 저장소에서 워밍업 후 90 밀리초. 어느 단계도 외부 API에 토큰을 태우지 않습니다. 설치 후에는 루프 전체가 오프라인으로 돕니다. -

- -

브리프는 강제 함수

-

- vibe coding에서 가장 큰 지렛대는, 첫 prompt를 쓰기 전에 브리프를 쓰는 것입니다. 모델은 제약을 필요로 하고, 사람은 위임하기 전에 선택지를 직접 마주해야 합니다. -

-

- ux discover는 대화형 prompt로 10개 필드를 순서대로 묻습니다 — 프로젝트 종류, 대상, 주 목표, 3–5단어 톤, 필수, 금기, 브랜드 참조, 밀도, 모션 예산, 접근성 바닥. 실제로 일을 하는 건 "금기" 필드입니다. 여기서 원하지 않는 디폴트를 명시적으로 지목합니다. -

- 
$ ux discover
-
-[project_type]      landing
-[audience]          한국 B2B SaaS 스타트업, 10-50명 규모
-[primary_goal]      데모 예약
-[tone]              precise, calm, confident, technical
-[must_have]         WCAG AA, 44px 터치 영역
-[forbidden]         본문 서체를 디스플레이로 늘리기, 같은 카드 3개 줄세우기,
-                    흰 배경 위 넓은 그라데이션, 100 무게 헤어라인,
-                    모든 자식에 fade-in-up
-[references]        Stripe (clarity), Linear (density), Arc
-[density]           comfortable
-[motion]            subtle, scroll-triggered, no autoplay
-
-# .ux/last-discovery.json 에 기록
- -

- 이후의 모든 명령이 이 파일을 읽습니다. 추천기는 금기 목록을 사용해 후보 팔레트와 모션 프리셋을 걸러내고, 린터는 필수 목록을 사용해 기본 임계값을 끌어올립니다. -

- -

100개 규칙, 한 문단으로

-

- 린트 카탈로그는 현재 100개로, v2.0.0 출시 시점의 35개에서 늘었습니다. 각 규칙은 정규식, 심각도(low, medium, high, critical), 카테고리(Typography, Color, Layout, Content, Motion, A11y, Quality, Visual, Performance), 한 줄 이유, 한 줄 수정안을 함께 가집니다. -

-

- 가장 심각도가 높은 항목들은 AI 지문에 곧장 매핑됩니다 — 본문 서체의 디스플레이 전용, 흰 배경 위 광역 그라데이션, 카드 3개 동일 패턴, 자리표시 이름 누출, 아이콘 자리에 박힌 이모지, 헤드라인의 마케팅 동사, 인라인 style 속성, 영웅 이미지의 alt 누락, 핀치 줌을 막는 viewport 태그. 어느 것도 LLM 호출을 요구하지 않습니다. 모두 밀리초 단위로 돕니다. -

-

- 전체 분류는 AI 디자인 지문 목록에, 엔지니어링 설명은 정규식 린터 글에 있습니다. 같은 엔진, 두 각도. -

- -

에디터 안에서 무엇이 바뀌나

-

- Claude Code, Cursor, Windsurf, Cline, Continue, Codex, Aider, Roo Code 중 어디든 ux-skill을 설치하면 워크플로는 다음 흐름이 됩니다. -

-
    -
  1. prompt를 칩니다. 모델의 컨텍스트에는 이미 디자인 시스템이 들어 있습니다(각 IDE는 tokens.css, manifest.json, 엔진이 써 놓은 IDE 전용 규칙 파일 — .cursorrules, CLAUDE.md, .windsurfrules — 를 읽습니다).
    2. -
  2. 모델은 자기 디폴트가 아니라 당신의 토큰에 맞춰 코드를 씁니다.
    3. -
  3. 파일을 저장합니다. pre-commit 훅이 린트를 돌립니다. diff 안에 high 심각도가 있으면, 커밋은 규칙 id, 줄, 한 줄 수정안과 함께 중단됩니다.
    4. -
  4. 모델에게 고치라고 합니다. 컨텍스트 창에 이미 규칙 id가 있습니다. 수정은 몇 초 안에 들어옵니다.
    5. -
  5. 다음 커밋이 통과합니다.
    6. -
-

- 머릿속에서 출력과 자기 취향을 맞춰 보는 수동 리뷰 단계가 사라집니다. 취향은 브리프, 시스템, 린트 안에 살아 있습니다. 당신은 vibe 모드를 유지하고, 가드레일이 vibe를 도랑으로 굴리지 않게 받쳐 줍니다. -

- -

순수 prompt 조정과의 솔직한 비교

-
- - - - - - - - - - - - - - - -
방식규칙의 거주지검사 단가1000줄 이후의 표류
prompt 전용.md의 지시 블록0높음 · 컨텍스트 감쇠
CI에서 LLM 평가자Claude 또는 GPT의 prompt~$0.04/push중간 · 비결정적
자체 ESLint 플러그인JS AST 규칙~200ms낮음 · 단 직접 작성
ux-skill lint100 정규식 · 998 카탈로그~90ms낮음 · 결정론적
-
- -
-
범위에 대한 솔직함
-

정규식이 잡는 것은 구조적 지문이지 취향이 아닙니다.

-

린트가 "이 섹션의 리듬이 틀렸어"나 "카피가 차갑게 읽혀"를 판정하는 일은 없습니다. 그것은 리뷰의 몫입니다. 정규식이 확실히 잡아내는 것은 문자열 토큰, 클래스 이름, 16진값, DOM 형태를 가진 모든 지문 — 즉 AI 디폴트의 대부분 — 입니다. 모델이 매번 같은 결과물에 손을 뻗기 때문입니다.

-

린트 위에 취향 검토를 얹고 싶다면 같은 패키지에 /ux-critique가 함께 들어 있고, 에디터 안에서 필요할 때 돕니다. 이것을 의도적으로 CI에 넣지 않습니다 — CI는 결정론적 바닥의 자리이기 때문입니다.

-
- -

Cursor와 Claude Code에 붙는 구체적인 방식

-

- Cursor는 저장소 루트의 .cursorrules와 그 아래 .cursor/rules/*.mdc를 읽습니다. Claude Code는 루트의 CLAUDE.md와 프로젝트 스코프의 ~/.claude/projects/<hash>/CLAUDE.md를 읽습니다. ux-skill은 같은 추천에서 두 포맷을 모두 써냅니다. 진실의 원천은 하나(.ux/design-system/MASTER.md), 파생물은 셋(Cursor, Claude Code, 순수 tokens.css)입니다. -

-

- 설치 가이드: - Cursor 설치, - Windsurf 설치, - GitHub Copilot 설치, - Zed 설치. -

- -

vibe는 속도, 규칙은 바닥

-

- 2026년의 흥미로운 논쟁은 "vibe coding이 이길 것인가"가 아닙니다 — 천 줄 이하 작업에서는 이미 이겼습니다. 진짜 흥미로운 논쟁은, 출력이 인터넷의 다른 모든 vibe coding 페이지와 똑같이 계속 보일 것인가, 아니면 팀이 그 아래 바닥을 깔 것인가입니다. -

-

- ux-skill이 그 바닥입니다. 100개 규칙, 998개 카탈로그 항목, 110개 브랜드 사양, 22개 명령, 17개 IDE, 엔진 아래 75개 테스트. MIT 라이선스. 텔레메트리 없음. 추천기가 모델의 중앙값을 끌어올리고, 린터가 바닥을 못 박습니다. vibe는 당신 것입니다. -

- -

관련 글

- -
- -
- 가드레일 설치 -

한 패키지, 세 가지 설치 경로, 100개 규칙.

-

추천기, 린터, 22개 명령, 110개 브랜드 사양이 함께 배포됩니다. 린트 본체는 1초 이하, 나머지는 필요할 때만. MIT 라이선스, 텔레메트리 없음, 계정 불필요.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— 또는 —
-
$ pip install uxskill
-
— 또는 —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/mcp-server-design-intelligence.html b/landing/blog/mcp-server-design-intelligence.html deleted file mode 100644 index ab52f1f..0000000 --- a/landing/blog/mcp-server-design-intelligence.html +++ /dev/null @@ -1,724 +0,0 @@ - - - - - - - - - MCP server for design intelligence — ux-skill's 14 tools any agent can call - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Technical · 2026-05-28 -

MCP server for design intelligence — 14 tools any agent can call.

-

- A slash command is shaped like a prompt template. A skill is shaped like a manifest the host model reads. Neither is composable with other agents. The Model Context Protocol is — and ux-skill v2.1 ships an MCP server that exposes the recommender, the 51-rule linter, and every queryable manifest as 14 tools any MCP-aware host can call. Claude Desktop, Cursor, Windsurf, Cline, Continue — same engine, same Pydantic schemas, same 1,243 entries. -

-

By the ux-skill team · 9 min read · MIT-licensed open source

- -

Why MCP, not another skill

-

- Claude Code skills are valuable: low-friction install, single-file manifests, model-friendly markdown. The ceiling is also low: a skill runs inside one host (Claude Code), it can't be invoked by another agent on the same machine, and it can't return structured data — only prose the model has to reparse. -

-

- MCP solves the ceiling. Once ux-skill speaks MCP: -

-
    -
  • Any agent on the user's machine — Claude Desktop, Cursor's chat, Windsurf's Cascade, a custom Anthropic SDK script — calls the same tools.
    • -
  • The schemas are typed. Pydantic models on the server, JSON Schema on the wire, validated structure on every call. No "ask the model nicely to format JSON."
    • -
  • Tools compose. An agent can call ux_recommend, take the result, pass it to ux_lint, then write the output to disk with a different MCP file-server. The 14 tools are nodes in a larger graph.
    • -
  • The catalog is queryable. Want a single component or palette from the manifest? Don't reload the whole skill — call ux_components or ux_palettes.
    • -
-

- The asymmetric move against ui-ux-pro-max-skill (84,000 stars, Claude-Code-only skill) is not "another skill." It's the same engine, distributed via a protocol they don't yet speak. -

- -

The 14 tools, verbatim

-

- Pulled from the TOOLS registry in engine/mcp/server.py. Every tool has a Pydantic input model, a typed handler, and a one-line description that renders in the host's tool picker. -

-
-
- - - - - - - - - - - - - - - - - - - - - - - - -
ToolWhat it doesReturns
ux_recommendRun the 5-parallel-search recommender against a brief.System object — style, palette, type, motion, components, brand.
ux_lintRun the 51-rule regex linter over a path.List of findings (id, severity, file, line, why, fix).
ux_stylesQuery the 84-style manifest.Style entries with tokens, voice, intent labels.
ux_palettesQuery the 176-palette manifest.Palettes with hex tokens, intent, contrast ratios.
ux_type_pairsQuery the 70 typeface pairings.Display + body + mono pairs with weights and reasoning.
ux_componentsQuery the 148-component catalog.Component entries with anatomy, states, and motion bindings.
ux_industriesQuery the 184 industry rule packs.Per-industry tone, motion, and color biases.
ux_motion_presetsQuery the 57 motion presets.Presets with Framer Motion, GSAP, and CSS snippets.
ux_anti_patternsRead the 51 lint rules as data, not as a runner.Rule definitions with regex, scope, why, fix.
ux_brandsRead one of the 73 brand DESIGN.md specs.Full brand spec — tokens, ramps, motion, surfaces.
ux_landing_patternsQuery landing-page layout patterns.Pattern entries with sections, IA rhythm, and CTAs.
ux_persist_savePersist a recommendation to .ux/master.json.Path written, hash, timestamp.
ux_persist_loadLoad a previously persisted system.The previously-saved system object.
ux_statsHealth check + catalog counts.Version, entry counts per manifest, build hash.
-
-
- -

Wiring into Claude Desktop

-

- Claude Desktop reads its MCP server list from ~/Library/Application Support/Claude/claude_desktop_config.json on macOS (and the equivalent on Windows/Linux). Add ux-skill as a stdio server pointing at the installed CLI: -

- 
// ~/Library/Application Support/Claude/claude_desktop_config.json
-{
-  "mcpServers": {
-    "uxskill": {
-      "command": "uxskill",
-      "args": ["mcp"],
-      "env": {
-        "UX_DATA_DIR": "~/.ux-skill/data"
-      }
-    }
-  }
-}
-

- Restart Claude Desktop. Open the tools pane — ux-skill's 14 tools appear under uxskill, each with its Pydantic-derived input schema. The agent picks them when relevant, calls them with structured arguments, receives structured responses. -

- -

Wiring into Cursor

-

- Cursor honors the same protocol. Edit ~/.cursor/mcp.json (or the project-local .cursor/mcp.json): -

- 
// .cursor/mcp.json
-{
-  "mcpServers": {
-    "uxskill": {
-      "command": "uxskill",
-      "args": ["mcp"]
-    }
-  }
-}
-

- Restart Cursor. The agent panel now lists all 14 tools as MCP-provided. The full Cursor walkthrough covers the rest of the install paths. -

- -

Wiring into Windsurf

-

- Windsurf's Cascade reads its MCP server registry from ~/.windsurf/mcp_config.json: -

- 
// ~/.windsurf/mcp_config.json
-{
-  "mcpServers": {
-    "uxskill": {
-      "command": "uxskill",
-      "args": ["mcp"],
-      "disabled": false,
-      "autoApprove": [
-        "ux_stats",
-        "ux_styles",
-        "ux_palettes",
-        "ux_type_pairs",
-        "ux_anti_patterns"
-      ]
-    }
-  }
-}
-

- The autoApprove list whitelists read-only tools so the agent doesn't prompt for confirmation on every catalog query. Writes (ux_persist_save) still require explicit approval. The full Windsurf walkthrough. -

- -

An end-to-end agent call

-

- Here's the actual JSON-RPC exchange the agent and the ux-skill server have when the user asks "recommend a design system for a freight TMS targeting fleet ops." The agent infers the brief, calls ux_recommend, gets a system back, and continues. -

- 
// → request: tool call
-{
-  "jsonrpc": "2.0",
-  "id": 8,
-  "method": "tools/call",
-  "params": {
-    "name": "ux_recommend",
-    "arguments": {
-      "brief": {
-        "project_type": "b2b logistics dashboard",
-        "industry": "freight / TMS / supply chain",
-        "audience": ["fleet operators", "dispatch managers"],
-        "tone": ["operational", "trustworthy", "dense"],
-        "must_have": ["data density", "keyboard-first"],
-        "forbidden": ["playful palette", "hero animations"]
-      }
-    }
-  }
-}
-
-// ← response: typed system object
-{
-  "jsonrpc": "2.0",
-  "id": 8,
-  "result": {
-    "content": [{
-      "type": "text",
-      "text": "{...full system JSON...}"
-    }],
-    "structuredContent": {
-      "style": { "id": "operational-density", "name": "Operational Density" },
-      "palette": { "id": "dispatch-slate", "tokens": { "...": "..." } },
-      "type_pair": { "id": "ibm-plex-sans-mono" },
-      "motion": { "presets": ["state-flip", "row-highlight"] },
-      "components": ["table-dense", "command-palette", "status-pill", "..."]
-    }
-  }
-}
-

- The response is structured. The agent doesn't have to re-parse a prose recommendation; it gets a typed system object and continues to the next step (often ux_lint after generating a surface from that system). -

- -

A composed call — recommend then lint

-

- Where MCP earns its keep is composition. Here's a two-step the agent runs without re-prompting the user: -

- 
// 1. Compose a system for the brief.
-const system = await mcp.call("ux_recommend", { brief });
-
-// 2. Generate surface code using that system (model call).
-const html = await model.generate({ system, surface: "hero" });
-await fs.write("src/Hero.tsx", html);
-
-// 3. Lint the generated file against the 51 rules.
-const findings = await mcp.call("ux_lint", {
-  paths: ["src/Hero.tsx"],
-  threshold: "high"
-});
-
-// 4. If anything fired, ask the model to fix and re-lint.
-if (findings.length > 0) {
-  const fixed = await model.fix({ html, findings });
-  await fs.write("src/Hero.tsx", fixed);
-}
-

- Four steps, two MCP calls, no manual handoff. More on the linter loop. -

- -

What's inside the server

-

- The server module (engine/mcp/server.py) is roughly 500 lines. Three things matter about its shape: -

-

- The tool catalog is a dict, not a decorator forest. Every tool is registered in a single TOOLS: Dict[str, ToolEntry] map. ToolEntry is a triple of (handler function, Pydantic input model, description string). The MCP framework wrapper iterates the dict at startup and registers each entry. This means tests can call handlers directly without importing the mcp library. -

-

- The transport is optional. import mcp.server is wrapped in a try/except. If the mcp pip package isn't installed, the module still imports cleanly — the error only fires when you try to run_server(). This keeps uxskill recommend and uxskill lint usable as standalone CLI commands even without MCP installed. -

-

- Logging goes to stderr. stdout is reserved for the MCP JSON-RPC protocol stream — anything written there breaks the transport. The logger configuration enforces stderr-only at module import. -

- -
- The skill manifest is a contract with one host. The MCP server is a contract with every host that speaks the protocol. -
- -

Discovering tools the agent doesn't know about

-

- MCP hosts call tools/list on startup to enumerate what each server provides. The ux-skill server returns all 14 with their JSON Schema input definitions. The agent picks at runtime — the user doesn't have to remember a slash command, and the host doesn't have to ship a custom integration. That's the protocol working. -

-

- For agents that want to plan ahead — "what categories of design data does this server expose?" — call ux_stats first. It returns version, build hash, and entry counts per manifest: -

- 
$ mcp call uxskill ux_stats
-{
-  "version": "2.1.0-alpha.3",
-  "build_hash": "a4c1f7e",
-  "manifests": {
-    "styles": 84,
-    "palettes": 176,
-    "type_pairs": 70,
-    "components": 148,
-    "industries": 184,
-    "motion_presets": 57,
-    "anti_patterns": 51,
-    "brands": 73,
-    "chart_types": 35,
-    "tech_stacks": 25,
-    "ux_guidelines": 112
-  },
-  "total_entries": 1015
-}
- -
-
Honesty card
-

MCP is young. The protocol moves.

-

The Model Context Protocol shipped late 2024 and is still version-pinning aggressively. Anthropic's Python SDK is the canonical implementation; the spec stabilized into 1.0 in early 2025. Our server tracks the SDK closely but if you're running an older Claude Desktop build (anything before December 2024) the tool list may not appear — upgrade the host first.

-

The 14 tools are also still alpha-tier. Names are stable; argument shapes may grow new optional fields. We don't break the contract on existing arguments.

-
- -

The asymmetric move

-

- ui-ux-pro-max-skill is the most-installed UX skill on GitHub (83,958 stars on 2026-05-28). Its distribution is single-host: Claude Code, via the marketplace, as a manifest. If a Cursor user wants the same recommender, there isn't one. -

-

- ux-skill's MCP server side-steps the popularity contest. We don't have to win Claude Code's UX-skill category — we can be present in every MCP-aware host simultaneously. Full side-by-side comparison with ui-ux-pro-max. -

- -

Related reading

- -
- -
- Wire it into your host -

One server. 14 tools. Every MCP host.

-

Same Python engine that powers the CLI, the skill, and the recommender — exposed over MCP for Claude Desktop, Cursor, Windsurf, and every other host that speaks the protocol. MIT, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill[mcp]
-
— or —
-
$ npx uxskill@alpha mcp
-
-
-
- - - - - - - diff --git a/landing/blog/monorepo-design-system-ai-coding.html b/landing/blog/monorepo-design-system-ai-coding.html deleted file mode 100644 index e0ac09d..0000000 --- a/landing/blog/monorepo-design-system-ai-coding.html +++ /dev/null @@ -1,816 +0,0 @@ - - - - - - - - - Monorepo design system with AI coding — ux-skill's tokens.css output - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Monorepo · 2026-05-28 -

Monorepo design system with AI coding — ux-skill's tokens.css output.

-

- A design system in a monorepo lives in one package and is consumed by everyone else. Turborepo and Nx make the wiring easy; what breaks is when AI-generated code in apps/web, apps/admin, and apps/mobile all drift from the shared system independently. ux-skill generates a tokens.css plus a manifest.json that lives in the shared package and gets enforced by a linter in every consumer app. -

-

By the ux-skill team · 7 min read · MIT-licensed open source

- -

The monorepo design-system problem

-

- A typical Turborepo or Nx setup has three or more app packages and one design-system package. The design system exports tokens (colors, spacing, type), components (Button, Card, Input), and primitives (CSS variables, Tailwind preset). The apps import them and ship. -

-

- That works fine for human-written code. With AI-generated code, the dynamic changes. Every apps/* package becomes a place where a Cursor agent, Claude Code skill, or Cascade run can produce drift — Inter at 90px in apps/admin, indigo gradient in apps/web, three equal cards in apps/mobile — even when packages/design-system defines none of those. -

-

- The shared package can't fix this alone because the design system is what to use, not what not to use. The not-to-use list is the 152 anti-pattern rules. Those rules need to run in every package that ships AI-generated code. -

- -

What ux-skill generates

-

- Run ux recommend in the design-system package. ux-skill writes two files to the package root: -

- -

1. tokens.css

-

- A flat CSS file with custom properties for every system value. Drops into the shared package as the source of truth. Apps import once, consume via var(--token-name) or through the Tailwind preset. -

- 
/* packages/design-system/tokens.css */
-:root {
-  /* Color · brand and semantic */
-  --brand: #ec4899;
-  --brand-active: #be185d;
-  --canvas: #07080a;
-  --surface: #0d0f12;
-  --ink: #f6f7f9;
-  --body: #c7ccd3;
-  --muted: #8a8f96;
-  --success: #34d399;
-  --danger: #f472b6;
-
-  /* Typography · type ramp */
-  --font-display: 'Cormorant Garamond', serif;
-  --font-body: 'Inter', sans-serif;
-  --font-mono: 'JetBrains Mono', monospace;
-  --text-display-xl: clamp(40px, 5.5vw, 64px);
-  --text-h2: clamp(28px, 3.2vw, 36px);
-  --text-body: 17px;
-  --text-caption: 13px;
-
-  /* Spacing scale */
-  --space-1: 4px;
-  --space-2: 8px;
-  --space-3: 12px;
-  --space-4: 16px;
-  --space-6: 24px;
-  --space-8: 32px;
-
-  /* Radius · pill, card, panel */
-  --radius-sm: 6px;
-  --radius-md: 10px;
-  --radius-lg: 14px;
-  --radius-pill: 999px;
-
-  /* Motion · duration and ease */
-  --ease-out-quart: cubic-bezier(0.16, 1, 0.3, 1);
-  --ease-spring: cubic-bezier(0.34, 1.56, 0.64, 1);
-  --duration-fast: 180ms;
-  --duration-med: 260ms;
-  --duration-slow: 420ms;
-
-  /* Z-scale · stacking tokens */
-  --z-base: 0;
-  --z-dropdown: 10;
-  --z-sticky: 20;
-  --z-modal: 50;
-  --z-toast: 60;
-}
- -

2. manifest.json

-

- A structured description of the system. ux-skill's linter reads this in every consumer package and uses it to detect drift — "this file imports tokens.css but uses a raw bg-purple-500 Tailwind class that isn't mapped to any semantic token." -

- 
// packages/design-system/manifest.json
-{
-  "name": "acme-design-system",
-  "version": "1.0.0",
-  "system": {
-    "style": "editorial-modern",
-    "palette": "warm-cream-monochrome",
-    "type_pairing": "cormorant-inter",
-    "motion_preset": "restrained-cascade",
-    "brand_spec": "linear-inspired"
-  },
-  "tokens": {
-    "colors": ["brand", "canvas", "surface", "ink", "body", "muted", "success", "danger"],
-    "type_scale": ["display-xl", "h2", "body", "caption"],
-    "spacing": ["1", "2", "3", "4", "6", "8"],
-    "radius": ["sm", "md", "lg", "pill"]
-  },
-  "forbidden": {
-    "colors": ["raw-tailwind-named-shades", "purple-to-blue-gradient"],
-    "type": ["inter-as-display", "arbitrary-hero-px"],
-    "layout": ["three-equal-card-grid", "centered-everything-hero"],
-    "motion": ["timing-300ms-default", "cubic-bezier-material-only"]
-  },
-  "lint": {
-    "threshold": "high",
-    "scope": ["apps/*/src/**/*.{tsx,jsx,vue,blade.php,astro}"]
-  }
-}
- -

- The manifest is the contract. Apps consume the tokens; the linter enforces the contract via the manifest. -

- -

Monorepo layout

-

- A working layout with shared tokens and per-app lint: -

- 
monorepo/
-├── package.json
-├── turbo.json
-├── packages/
-│   └── design-system/
-│       ├── tokens.css              # ux-skill generates
-│       ├── manifest.json           # ux-skill generates
-│       ├── tailwind-preset.js      # ux-skill generates
-│       ├── package.json
-│       └── src/
-│           ├── Button.tsx
-│           ├── Card.tsx
-│           └── Input.tsx
-├── apps/
-│   ├── web/
-│   │   ├── package.json
-│   │   ├── tailwind.config.js      # extends preset
-│   │   └── src/
-│   ├── admin/
-│   │   ├── package.json
-│   │   ├── tailwind.config.js
-│   │   └── src/
-│   └── mobile/
-│       ├── package.json
-│       └── src/
-└── .github/workflows/
-    └── design-lint.yml             # runs ux lint on every PR
- -

Wiring tailwind.config.js

-

- Each app's tailwind.config.js extends the preset shipped from packages/design-system. The preset is generated by ux-skill from the same manifest. -

- 
// apps/web/tailwind.config.js
-import preset from 'acme-design-system/tailwind-preset';
-
-export default {
-  presets: [preset],
-  content: ['./src/**/*.{tsx,jsx,html}'],
-};
- -

- Now apps/web, apps/admin, and apps/mobile share the palette, the type ramp, the radius scale, and the motion tokens. AI-generated code that uses bg-brand or text-display-xl stays on system. AI-generated code that uses raw bg-purple-500 drifts — and gets caught by the linter. -

- -

The linter as the enforcement boundary

-

- ux-skill's ux lint command reads packages/design-system/manifest.json and applies the 152 anti-pattern rules to every consumer app's source. Run it locally, in a pre-commit hook, or as a Turborepo task. -

- -

As a Turborepo task

- 
// turbo.json
-{
-  "$schema": "https://turbo.build/schema.json",
-  "tasks": {
-    "design-lint": {
-      "dependsOn": ["^build"],
-      "inputs": ["src/**/*", "../../packages/design-system/manifest.json"],
-      "outputs": []
-    }
-  }
-}
- -

As a package script

- 
// apps/web/package.json
-{
-  "scripts": {
-    "design-lint": "ux lint ./src --manifest ../../packages/design-system/manifest.json --threshold high"
-  }
-}
- -

As a GitHub Action

- 
# .github/workflows/design-lint.yml
-name: design-lint
-
-on:
-  pull_request:
-    branches: [main]
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
-        with:
-          python-version: "3.11"
-      - run: pip install uxskill
-      - run: npx turbo run design-lint
- -

- Turbo runs the lint task in every app package in parallel; exits 1 if any high-severity fingerprint shows up in any app. One PR, every app, every fingerprint, one report. -

- -

Why this works in Nx too

-

- Nx maps cleanly to the same shape. Replace turbo.json with nx.json + project.json per package. The lint task becomes an Nx executor: -

- 
// apps/web/project.json
-{
-  "name": "web",
-  "targets": {
-    "design-lint": {
-      "executor": "nx:run-commands",
-      "options": {
-        "command": "ux lint ./apps/web/src --manifest ./packages/design-system/manifest.json --threshold high"
-      },
-      "inputs": ["{projectRoot}/src/**/*", "{workspaceRoot}/packages/design-system/manifest.json"],
-      "outputs": []
-    }
-  }
-}
- -

- Same idea — the design-system package is the source of truth for tokens and the manifest; every app gets a design-lint target that reads the same manifest. -

- -

End-to-end install in a fresh Turborepo

- -
-
01
-

Install ux-skill

-

From the workspace root.

- 
# pnpm workspace
-$ pnpm add -DW uxskill
-# or via npx (no install)
-$ npx uxskill@alpha --version
-
- -
-
02
-

Generate the design system into packages/design-system

-

Run discover then recommend inside the package directory.

- 
$ cd packages/design-system
-$ npx uxskill@alpha discover            # 10-field intake
-$ npx uxskill@alpha recommend            # writes tokens.css, manifest.json, preset
-
- -
-
03
-

Wire each app's tailwind.config.js to the shared preset

-

One-line import per app.

- 
import preset from 'acme-design-system/tailwind-preset';
-export default { presets: [preset], content: ['./src/**/*'] };
-
- -
-
04
-

Add the design-lint task to turbo.json

-

Every app inherits it.

- 
{
-  "tasks": {
-    "design-lint": { "dependsOn": ["^build"], "outputs": [] }
-  }
-}
-
- -
-
05
-

Run it

-

From the workspace root.

- 
$ npx turbo run design-lint
-# lints apps/web, apps/admin, apps/mobile in parallel
-# exits 1 if any high-sev fingerprint is found
-
- -

Why a manifest beats a config file

-

- The design-system package could ship a plain config — a list of allowed colors, allowed fonts, allowed radii. But a config alone doesn't carry the "why" or the "fix" for each rule. The manifest does both: -

-
    -
  • The system block tells the AI tool what style, palette, type, and motion to generate within.
    • -
  • The tokens block tells the AI tool which CSS variables exist and are safe to reference.
    • -
  • The forbidden block tells the linter what to flag — with named rule IDs that map to the 35-fingerprint taxonomy.
    • -
  • The lint.scope block tells the linter which files to scan in which app.
    • -
-

- Manifest in. Tokens out. Lint exit code is the contract. -

- -
- The shared design-system package becomes the spec; AI tools in every app respect it; the linter enforces it. Drift gets caught at PR time, not at "why does admin look different from web" review time. -
- -

What this prevents

-

- Concretely, the failure modes a monorepo design system catches when ux-skill is wired in: -

-
    -
  • Color drift across apps. apps/web uses bg-brand; apps/admin uses bg-purple-500; apps/mobile uses a hardcoded hex. The lint exit code blocks the PR.
    • -
  • Type drift. One app ships Inter at 90px; another ships text-7xl; another ships clamp(). The inter-as-display and hero-text-arbitrary-90px rules catch both.
    • -
  • Motion drift. One app uses 300ms default; another uses Material's cubic-bezier; another uses the manifest's spring preset. The timing-300ms-default and cubic-bezier-material-only rules catch the first two.
    • -
  • Inline style drift. AI-generated patches sneak style="margin-top: 12px" into a Blade or JSX file. The inline-style-attribute rule catches it.
    • -
  • Token escape. A new color shows up nowhere in tokens.css. The tailwind-color-named-vague rule catches it.
    • -
- -

What it doesn't do

-
    -
  • Doesn't replace your component library. ux-skill writes tokens and the manifest; packages/design-system/src/ still owns Button, Card, Input. Pair with shadcn/ui or HeroUI for the actual components.
    • -
  • Doesn't sync to Figma. Not in v2 (planned for v2.2). Until then, paste tokens manually into Figma variables.
    • -
  • Doesn't catch semantic drift. A button labeled "Click here" passes every regex. The linter is for visual and structural fingerprints, not microcopy. Pair with hallmark or a human reviewer for that.
    • -
- -
-
Honesty card
-

The manifest contract works when every app respects it.

-

If one app skips the lint task, the contract breaks. The fix is to make the lint task non-optional: put it in turbo.json as a dependency of build, or wire it into your branch protection rules. AI-generated drift is fast to produce and slow to clean up; the gate has to be at PR time.

-

Also: ux-skill is 14 stars and v2 is alpha. If you need a battle-tested token system in a monorepo today, Style Dictionary or Tokens Studio are mature options. ux-skill's edge is the linter — token systems without enforcement are documents nobody reads.

-
- -

Related reading

- -
- -
- Install in your monorepo -

One token file. One manifest. Every app on system.

-

Generate tokens.css and manifest.json once in the shared package. Wire the lint task into Turborepo or Nx. Every consumer app stays on system.

- -
-
$ pnpm add -DW uxskill
-
$ cd packages/design-system
-
$ npx uxskill@alpha recommend
-
— or via pip —
-
$ pip install uxskill
-
$ ux lint ./apps/web --manifest ./packages/design-system/manifest.json
-
— or as a Claude Code skill —
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/motion-presets-framer-gsap-css.html b/landing/blog/motion-presets-framer-gsap-css.html deleted file mode 100644 index 398ec6b..0000000 --- a/landing/blog/motion-presets-framer-gsap-css.html +++ /dev/null @@ -1,742 +0,0 @@ - - - - - - - - - 57 motion presets for AI coding — Framer Motion, GSAP, and CSS snippets - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Reference · 2026-05-28 -

57 motion presets for AI coding — Framer Motion, GSAP, and CSS.

-

- Most AI coding tools have one motion default: fade-in-up, 600ms, on everything. That's the slop. ux-skill's motion manifest ships 57 named presets, each available as Framer Motion config, GSAP call, and raw CSS — with explicit prefers-reduced-motion branches and performance notes. Same intent, three engines, queryable as data. Here's the tour. -

-

By the ux-skill team · 9 min read · MIT-licensed open source

- -

The shape of one entry

-

- Pulled from data/motion-presets.json. Every preset has an id, a name, a category, an engine-agnostic tokens block (duration, easing, transform), and three engine-specific snippets ready to paste. Plus a reduced-motion branch and a performance note. -

- 
// data/motion-presets.json — entries[0]
-{
-  "id": "fade-up-12px",
-  "name": "Fade-Up 12px",
-  "category": "Entry",
-  "tokens": {
-    "duration_ms": 360,
-    "easing": "cubic-bezier(0.16, 1, 0.3, 1)",
-    "transform_from": "translateY(12px)",
-    "transform_to": "translateY(0)",
-    "opacity_from": 0,
-    "opacity_to": 1
-  },
-  "stacks": {
-    "framer_motion": "{ initial: { y: 12, opacity: 0 }, animate: { y: 0, opacity: 1 }, transition: { duration: 0.36, ease: [0.16, 1, 0.3, 1] } }",
-    "gsap": "gsap.from(el, { y: 12, opacity: 0, duration: 0.36, ease: 'expo.out' })",
-    "css": "@keyframes fade-up-12 { from { transform: translateY(12px); opacity: 0; } to { transform: translateY(0); opacity: 1; } } .fade-up-12 { animation: fade-up-12 360ms cubic-bezier(0.16, 1, 0.3, 1) both; }"
-  },
-  "reduced_motion": "instant — fade only, no transform",
-  "performance": "transform + opacity only — GPU composited"
-}
-

- The tokens block is engine-agnostic and durable: when someone wants to add a fourth engine (Motion One, Anime.js, JS Web Animations API) the work is generating new snippets from those same tokens — not redoing the intent. -

- -

The 57 presets at a glance

-

- Eight categories, 57 entries. The breakdown matches the way a real product surface needs motion — not just entry animations. -

-
-
- - - - - - - - - - - - - - - - - - - -
CategoryCountRepresentative presets
Entry10fade-up-12px, fade-in-pure, scale-in-soft, slide-up-card, blur-in-12
Hover8lift-2px, tint-shift, border-warm, icon-rotate-12, card-tilt-2deg
Transition8route-crossfade, tab-slide, drawer-push, view-trans-card
Scroll7scroll-pin-hold, parallax-depth-3, reveal-stagger, scrub-fold
State7state-flip, loading-skeleton, success-tick, error-shake
Exit6fade-out-fast, shrink-out, slide-down-exit
Attention6pulse-soft, glow-cycle, row-highlight, shake-error
Press5press-scale-97, press-darken, haptic-bounce
Total57Every preset in every category has all three engine snippets.
-
-
- -

One preset, three engines — fade-up-12px

-

- Here's the most-used Entry preset in all three forms, with the reduced-motion branch: -

- -
-
-

Fade-Up 12px

- fade-up-12px · Entry -
-
- 360ms - expo.out easing - transform + opacity -
- -

Framer Motion

-
import { motion } from 'framer-motion';
-
-<motion.div
-  initial={{ y: 12, opacity: 0 }}
-  animate={{ y: 0, opacity: 1 }}
-  transition={{ duration: 0.36, ease: [0.16, 1, 0.3, 1] }}
->
-  <Card />
-</motion.div>
- -

GSAP

-
import { gsap } from 'gsap';
-
-gsap.from(el, {
-  y: 12,
-  opacity: 0,
-  duration: 0.36,
-  ease: 'expo.out'
-});
- -

CSS

-
@keyframes fade-up-12 {
-  from { transform: translateY(12px); opacity: 0; }
-  to   { transform: translateY(0);    opacity: 1; }
-}
-
-.fade-up-12 {
-  animation: fade-up-12 360ms cubic-bezier(0.16, 1, 0.3, 1) both;
-}
-
-/* Reduced motion — fade only, no transform */
-@media (prefers-reduced-motion: reduce) {
-  .fade-up-12 {
-    animation: fade-in-200ms linear both;
-  }
-}
-
- -

prefers-reduced-motion is not optional

-

- Every preset declares a reduced_motion contract. Three categories of behavior, depending on what the motion is doing: -

-
    -
  • "no change" — the preset is already opacity-only or covers a state transition that the user expects. Keep as is.
    • -
  • "instant — fade only, no transform" — keep the opacity arc, drop the transform. The semantics survive; the velocity doesn't.
    • -
  • "omit — render final state immediately" — for decorative attention-grabbers like pulse-soft and glow-cycle, the motion is dropped entirely.
    • -
-

- The linter has a rule (fade-in-up-no-reduced-motion) that fires on any animation using translate without a @media (prefers-reduced-motion: reduce) branch nearby. The linter's 51 rules includes four motion-category rules; this is the one that catches the AI default most often. -

- -

When to pick each engine

- -
-

Pick CSS when

-

The motion is declarative, doesn't need to be controlled by state, and the duration is under 1.2 seconds. CSS keyframes are the cheapest to ship (no JS, no library, no runtime cost) and the most performant — the browser runs them on the compositor thread. Use CSS for Entry animations, Hover lifts, Press states, basic Attention, and most Exit animations.

-

Bytes shipped: zero. Composite cost: minimal. Control surface: minimal.

-
- -
-

Pick Framer Motion when

-

The animation is bound to React state — a route change, a tab switch, a drawer open, a layout shift. Framer Motion's AnimatePresence and layoutId patterns are unmatched for component-tree animations. Also pick it when you need gestures (drag, hover with imperative control) or layout animations (FLIP).

-

Bytes shipped: ~35KB gzipped (tree-shakeable). Composite cost: low. Control surface: deep React integration.

-
- -
-

Pick GSAP when

-

The animation is a timeline — multiple elements with overlapping cues, scroll-driven scrubbing, complex easing, or staggers. GSAP's ScrollTrigger is the canonical tool for scroll-pinned cinema (the scroll-pin-hold preset). It's also the right pick when the motion needs to run outside React (vanilla JS, Svelte, Astro islands).

-

Bytes shipped: ~40KB gzipped core, +15KB ScrollTrigger. Composite cost: moderate (runs on rAF). Control surface: timeline-first.

-
- -

A rule of thumb that holds up

-

- For most product surfaces, the right split is: CSS for 70% of the motion (entry, hover, press, simple transitions), Framer Motion for 20% (route, drawer, layout), GSAP for 10% (scroll cinema, complex timelines). If your codebase is 90% Framer Motion, you're probably paying React-tree-traversal costs for animations CSS would do for free. -

- -

Performance — only animate cheap properties

-

- Every preset's performance field documents which properties get animated. The shortlist of cheap ones — properties the browser can composite without layout or paint: -

-
    -
  • transform — translate, scale, rotate, skew. Free.
    • -
  • opacity — free.
    • -
  • filter — moderate cost; blur is heavy.
    • -
-

- The shortlist of expensive ones — anything that triggers layout: -

-
    -
  • top, left, width, height, margin, padding — all expensive. The linter (animate-layout-property) catches these.
    • -
  • box-shadow — moderate; consider filter: drop-shadow on the parent.
    • -
-

- Every preset in the manifest is built from cheap properties. If you need an expensive animation, you build it yourself and document why. -

- -

Querying motion from your agent

-

- The presets are exposed over MCP via the ux_motion_presets tool. The agent can pull a single preset, the full catalog, or a filtered subset: -

- 
// Filter by category, then take the first match
-const presets = await mcp.call("ux_motion_presets", {
-  category: "Scroll"
-});
-
-// Returns: scroll-pin-hold, parallax-depth-3, reveal-stagger, scrub-fold, ...
-
-// Or pull one by id
-const preset = await mcp.call("ux_motion_presets", {
-  id: "scroll-pin-hold"
-});
-

- Full MCP server walkthrough covers the wiring for Claude Desktop, Cursor, and Windsurf. -

- -

The scroll-pin-hold story

-

- Two of the 57 presets do real cinema work — and they're worth a dedicated section because the AI default is to scroll the page like a Word document and the cinema language is what actually feels modern in 2026. -

-

- scroll-pin-hold pins the section to the viewport for the duration of its scroll budget, runs an inner timeline scrubbed to scroll position, and releases on exit. parallax-depth-3 defines three depth layers (background 0.4x, mid 1x, foreground 1.6x of scroll velocity) so the section reads as a 3D camera move. -

-

- Both are GSAP + ScrollTrigger presets — CSS scroll-driven animations are landing in browsers but the spec is still moving, and Framer Motion's useScroll doesn't pin natively. Until the platform stabilizes, GSAP is the cleanest path. -

-

- The new dark editorial cinema homepage uses both presets on every major section. -

- -
- AI coding tools ship one motion default: fade-in-up on everything. The fix is not "less motion." It's the right motion per role. -
- -
-
Honesty card
-

57 presets is not "every animation ever."

-

For bespoke product moments — a custom data viz, a branded loader, a one-off marketing micro-interaction — you'll still write motion yourself. The manifest covers the 90% case where the motion is recognizable across the industry, and the goal is to use the right one instead of inventing a worse one. The remaining 10% is where the brand earns its identity, and that's the right place to spend effort.

-

The Framer Motion snippets target v11+. The GSAP snippets target v3+. The CSS snippets are evergreen.

-
- -

How motion plugs into the rest of the engine

-

- The recommender doesn't ship motion in isolation. When you run /ux-recommend against a brief, the response includes a curated motion subset — typically 4 to 7 presets — picked to match the style and tone. A "calm editorial" recommendation pulls fade-up-12px, scroll-pin-hold, and lift-2px. An "operational density" recommendation pulls state-flip, row-highlight, and success-tick. The presets are the same; the curation is the design call. -

-

- More on how the recommender composes a system, including which manifests it pulls from. -

- -

Related reading

- -
- -
- Install the engine -

One library. Three engines. 57 presets.

-

Same manifest powers the CLI, the MCP server, and the recommender — every preset available as Framer Motion, GSAP, and CSS. Reduced-motion handling included. MIT, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/python-design-system-generator.html b/landing/blog/python-design-system-generator.html deleted file mode 100644 index e40d1c0..0000000 --- a/landing/blog/python-design-system-generator.html +++ /dev/null @@ -1,830 +0,0 @@ - - - - - - - - - Python design system generator — ux-skill v2's 5-parallel-search engine - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - - -
- - - -
-
-
- Blog · Engineering · 2026-05-28 -

Python design system generator — ux-skill v2's 5-parallel-search engine.

-

- Generating a complete design system from a brief — style philosophy, color palette, type pairing, motion presets, component picks, brand exemplars — used to require a designer, a moodboard, and a week. ux-skill v2 runs that decision in Python, deterministically, in seconds. -

-

By the ux-skill team · 9 min read · MIT-licensed open source

- -

The architectural premise

-

- A design system recommendation isn't one decision — it's five, made in parallel and merged. The five lanes are independent enough to search separately, but interdependent enough that the merge step matters. ux-skill v2 implements this as a Python recommender with five concurrent search functions over 11 structured manifests (1,243 entries total). -

-

- The output is a single design-system object: a chosen style philosophy, a palette with named tokens, a type pairing with ramps, a motion profile, a component pick list, and brand exemplars to reference. Plus a generated tokens.css file you can drop into Tailwind or any CSS-vars-driven framework. -

- -

The five parallel lanes

- -
-
-
01
-
Industry
-
184 rules
-
Match brief keywords to industry conventions (fintech-trust, dev-tools-minimalism, e-commerce-warmth, etc.).
-
-
-
02
-
Style
-
84 styles
-
Filter by industry compatibility + tone vector. Returns top 3 candidates with rationale.
-
-
-
03
-
Palette
-
176 palettes
-
Pick by mood + accessibility + cultural fit. WCAG AA enforced on text-on-surface combos.
-
-
-
04
-
Type
-
70 pairings
-
Match display/body pairing to style + language. Variable fonts preferred. Loading footprint scored.
-
-
-
05
-
Motion
-
57 presets
-
Hierarchy-aware: hero opens, content cascades, body settles. Reduced-motion fallback included.
-
-
- -

- Each lane runs as an independent Python function. The five are dispatched concurrently with asyncio.gather. Total wall time on a modern machine is ~200ms for the search step, ~50ms for the merge. The slowest part of a recommendation is usually the discovery step before it (interactive 10-field intake) — the search itself is faster than a typical HTTP call. -

- -

How the merge works

-

- Each lane returns a ranked list of candidates with compatibility scores against the brief. The merge step does three things: -

-
    -
  1. Cross-lane compatibility check. A neon-cyberpunk style with an editorial serif pairing fails the cross-check. The merger picks combinations the manifest has flagged as coherent.
    2. -
  2. Brand spec overlay. If the brief mentions a brand by name (Apple, Stripe, Linear, Figma, Tesla, BMW…) or matches a brand's industry-tone signature, the merger overlays the brand's DESIGN.md tokens. 160 brand specs available.
    3. -
  3. Component pick. Given style + palette + type, the merger picks compatible components from the 148-entry catalog. Editorial-modern gets long-form layouts and quote pulls; dashboard-dense gets data tables and KPI cards.
    4. -
- -

- The merge produces a single recommendation object with the picks, the rationale (why each was chosen), and an alternates list (the runners-up in each lane, in case the user wants to swap). -

- -

The minimal example

-

- Three lines after install. The Python API mirrors the CLI 1:1. -

- -
# Install -$ pip install uxskill - -# Three-line Python example ->>> from uxskill import recommend ->>> system = recommend(brief="AI developer tool, dark editorial, technical credibility") ->>> print(system.style.name, "|", system.palette.name, "|", system.type.display) -saturated-cinema | dark-indigo-cascade | Bricolage Grotesque / Inter
- -

- The system object exposes: -

-
    -
  • system.style — name, philosophy, do/don't rules, exemplar brands.
    • -
  • system.palette — named tokens (canvas, surface, ink, body, muted, primary, semantic colors), WCAG scores.
    • -
  • system.type — display + body pairing, weight ramps, size ramps, line-heights, language coverage.
    • -
  • system.motion — easing curves, duration ramps, hierarchy preset, reduced-motion fallback.
    • -
  • system.components — the 148-entry catalog filtered to compatible picks.
    • -
  • system.brand — overlaid brand DESIGN.md if one applied.
    • -
  • system.alternates — runners-up in each lane.
    • -
  • system.to_tokens_css() — generates a tokens.css string.
    • -
  • system.to_tailwind_config() — generates a tailwind.config.js snippet.
    • -
  • system.to_dict() — JSON-serializable for handoff or storage.
    • -
- -

Example output: AI-dev-tool brief

-

- Real recommendation for a representative brief. Inputs were "AI developer tool, dark editorial, technical credibility, latency-sensitive, English." The merger overlaid Linear's brand spec because the trust-tone signature matched the dev-credibility vector. -

- -
-
recommended system · ai-dev-tool · 2026-05-28
- -
-
style
-
saturated-cinema — content-first, per-scene accents, asymmetric layouts on a near-black canvas. Why: technical credibility requires not-flashy; latency-sensitive requires legibility; dev brief prefers dark.
-
-
-
palette
-
-
- - - - - - -
- dark-indigo-cascade — canvas #07080a, ink #07080a, accent #818cf8. WCAG AA on all text-on-surface pairs. -
-
-
-
type
-
Bricolage Grotesque + Inter — Bricolage variable (opsz, wdth, wght) for display; Inter 14-17px body. Variable fonts. Subset payload: 92KB total.
-
-
-
motion
-
restrained-cascade — hero opens 0.5s ease-out, supporting content stagger 80ms, body settles. Reduced-motion: instant. No fade-in-up-everything.
-
-
-
components
-
27 picks — hero (asymmetric), terminal panel (mono-styled), feature matrix (data-dense), KPI summary, docs sidebar, CLI prompt block, blockquote (display-italic). Drops cards-grid-of-three.
-
-
-
brand overlay
-
Linear — pulled because the trust-tone signature and the dev-credibility vector matched. IA spine borrowed; palette overridden with dark-indigo-cascade.
-
-
-
alternates
-
Style: dark-minimal-mono, neo-grotesque-editorial. Palette: charcoal-emerald, graphite-cyan. Type: Geist + Inter.
-
-
- -

- The merge surfaced one specific decision worth flagging: the candidate dark-minimal-mono tied with saturated-cinema on the style score. The tiebreaker was the "technical credibility" signal — saturated-cinema's per-scene accents read more as editorial confidence than minimal-mono's restraint, so it won by 0.04 on the cross-lane compatibility score. That kind of decision is the merge step earning its keep. -

- -

The 1,243 entries, listed

-

- For transparency, the breakdown of the catalog: -

-
    -
  • 84 design styles (industries.json overlay)
    • -
  • 176 color palettes (palettes.json)
    • -
  • 70 type pairings (typography.json)
    • -
  • 57 motion presets (motion.json)
    • -
  • 148 components (components.json)
    • -
  • 184 industry rules (industries.json)
    • -
  • 112 UX laws (laws.json — Fitts, Hick, Miller, Gestalt principles, etc.)
    • -
  • 35 chart types (charts.json)
    • -
  • 25 tech stacks (stacks.json)
    • -
  • 35 anti-pattern rules (antislop.json)
    • -
  • 72 brand DESIGN.md specs (brands/*.md, indexed)
    • -
-

- Total: 1,243 entries. All MIT-licensed. All extensible — the manifests are plain JSON; fork-and-extend is the supported path for adding your own styles or brand specs. -

- -

Why 5 lanes, not 1?

-

- A single combined search is the obvious alternative — one query, one ranked result. It loses because design-system fit is multi-dimensional. A palette can be perfect for the industry but wrong for the type pairing. A motion preset can be coherent with the style but break under reduced-motion accessibility. Single-search collapses the dimensions and produces "close enough" recommendations that don't survive scrutiny. -

-

- Parallel lanes preserve the dimensions and let the merge step decide explicitly which trade-offs to make. The merger is also where the brand-spec overlay happens — you can't overlay a brand language on a recommendation that hasn't yet committed to a palette and type pairing. -

- -
- Single search compresses five decisions into one. The merge step is where the decisions get explicit, the trade-offs get named, and the alternates get preserved. -
- -

What this isn't

-

- Be specific about the limits: -

-
    -
  • Not a code generator. The recommendation is a system. To generate component code, pair with /ux-design, /ux-component, or your IDE's code-gen capability inside the recommended system.
    • -
  • Not a moodboard. The recommendation is structured, not visual. To see what it looks like, generate a sample page; for visual variants, swap palette and re-generate.
    • -
  • Not deterministic on close calls. The merge step is deterministic given the same brief, but two slightly different briefs can swap the top-2 result (as in the example above). This is a feature: the recommendation honors brief signal.
    • -
  • Not infinite. 1,243 entries covers most working briefs, but if your brief is "1960s Soviet constructivism applied to a quantum-computing dashboard," the recommender will return a closest-fit with a confidence flag, not a custom system.
    • -
- -
-
Honesty card
-

About the catalog depth claim

-

ui-ux-pro-max-skill is the comparator here. Their recommender pioneered the 5-parallel-search architecture (we adopted it directly) and has ~600 structured entries. ux-skill v2 extends to 998. The architecture is shared; the depth is ours.

-

The 998 number is not the moat. The moat is the four nets new — 120-rule deterministic linter, 92 named brand specs, 57 motion presets, 148-component catalog — that don't exist in ui-ux-pro-max's recommender.

-
- -

Beyond the recommendation

-

- The recommender is one node in a larger pipeline. After recommend(), the next Python calls are: -

-
    -
  • uxskill.generate(system, page="landing") — emit code for a target surface using the recommended system.
    • -
  • uxskill.lint(code, threshold="high") — 120-rule anti-slop pass on the generated code.
    • -
  • uxskill.fix(code, lint_result) — apply lint fixes inline.
    • -
  • uxskill.critique(code, system) — taste-level review citing named UX laws and brand exemplars.
    • -
  • uxskill.case_study(system, code) — auto-generated handoff doc.
    • -
- -

- Each function returns a structured object; each accepts the previous step's output. The pipeline is composable in plain Python, not just inside an IDE's slash-command interface. -

- -

Three lines, the install

-

- From pip install to a working recommendation: -

- -
$ pip install uxskill -$ python ->>> from uxskill import recommend ->>> recommend(brief="dev tools landing page, minimal, technical credibility").to_tokens_css()
- -

- The recommendation runs in ~250ms on a modern machine. The tokens.css output is ready to drop into Tailwind, Vanilla Extract, CSS modules, or any framework that reads CSS custom properties. -

-
- -
- pip install uxskill -

1,243 entries. 5 lanes. One Python call.

-

The Python design system generator: deterministic recommender + 120-rule linter + 160 brand specs. MIT licensed, no telemetry, no account, fits in a CI pipeline.

- -
-
$ pip install uxskill
-
>>> from uxskill import recommend
-
>>> recommend(brief="your brief").to_tokens_css()
-
— or via npx for Node-centric projects —
-
$ npx uxskill@alpha recommend
-
— or as a Claude Code skill —
-
$ /plugin marketplace add Laith0003/ux-skill
-
-
-
- - -
- - - - - - diff --git a/landing/blog/regex-linter-for-ai-coding.html b/landing/blog/regex-linter-for-ai-coding.html deleted file mode 100644 index ad2a539..0000000 --- a/landing/blog/regex-linter-for-ai-coding.html +++ /dev/null @@ -1,734 +0,0 @@ - - - - - - - - - Regex linter for AI coding — how 51 rules catch design slop in CI - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Technical · 2026-05-28 -

Regex linter for AI coding — 51 rules that catch design slop in CI.

-

- Recommenders ask the model to do the right thing. Linters punish the model when it doesn't. ux-skill ships both — but only the linter runs in your CI on every push. Here's how 51 regex rules catch the recognizable fingerprints of AI design output before they merge, with no LLM call, no prompt, and no token budget. -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

Why regex, not an LLM

-

- Every alternative looks like LLM-as-judge: ask Claude or GPT to grade the output, take its word for it, retry on a low score. That approach has three problems that compound the more you use it. -

-

- It's nondeterministic. The judge model's verdict on the same input drifts run to run. CI failures become flakes, contributors learn to retry instead of fix, and the signal collapses. -

-

- It's expensive. Every PR push spends tokens. Every retry doubles the bill. A 200-PR-per-week repo running an LLM design-grader on the diff is paying for compute to confirm what a regex would catch in 12 milliseconds. -

-

- It hides the rule. When the judge fails a PR, the author gets prose. When a regex fails a PR, the author gets a pattern they can match against their own code and learn from. The first creates a culture of appeals; the second creates a culture of fluency. -

-

- The 51 rules are documented in the AI design fingerprints taxonomy — every regex paired with the why and the fix. The linter is the executable form of that taxonomy. -

- -

What the 51 rules cover

-

- Pulled from data/anti-patterns.json in the repo. Every rule has an id, a severity (low | medium | high | critical), a category, a regex with scoped file extensions, a one-line why, and a one-line fix. -

-
- - - - - - - - - - - - - - - - - - - - -
CategoryCountWhat it catches
A11y12Missing alt text, color-only state, low-contrast pairs, click targets under 44px, no focus styles, decorative SVG without aria-hidden.
Content8"John Doe" placeholders, "Lorem ipsum," "Beautiful experiences," "Revolutionizing X," generic stock imagery URLs, emoji headlines.
Typography6Inter as display, 90px font-size at 1.0 line-height, all-caps body, sans-only stack, hairline 100-weight, no font-feature-settings.
Color6Purple-to-blue gradient (#7C3AED → #3B82F6 family), 600/400 default pairs, neon glow on white, three indigo shades.
Layout6Three equal cards in a row, "Hero + 3-up + CTA" boilerplate, full-bleed gradient hero, centered-everything axis.
Quality6Inline styles on production components, !important overrides, hardcoded pixel values where tokens exist, dead imports.
Motion4Fade-in-up on every element, no prefers-reduced-motion branch, animation longer than 500ms on hover, autoplay carousels.
Visual2Drop shadows on flat designs, blur backdrops without a fallback.
Performance1Animating top/left/width/height instead of transform.
Total51Up from 35 at the v2.0.0 launch; 16 added in the v2.1 alpha cycle.
-
- -

An actual rule, end to end

-

- Here's the canonical fingerprint — Inter used as a display font — verbatim from the manifest, severity high: -

- 
// data/anti-patterns.json — entries[0]
-{
-  "id": "inter-as-display",
-  "name": "Inter used as display font",
-  "severity": "high",
-  "category": "Typography",
-  "detection": {
-    "type": "regex",
-    "pattern": "font-family:\s*['\"]?Inter['\"]?[^;}]*[;}][^{]*(?:font-size:\s*([4-9]\d|\d{3,})px|\btext-(5xl|6xl|7xl|8xl|9xl)\b)",
-    "flags": "im",
-    "scope": ["css", "scss", "tsx", "jsx", "vue", "html"]
-  },
-  "why": "Inter is a body font tuned for screen legibility at small sizes;
-          deployed as display it reads as the default startup-landing fingerprint.",
-  "fix": "Pair Inter (body) with a distinctive display face:
-          Geist, Satoshi, Cabinet Grotesk, General Sans, Outfit, or a brand-specific variable sans."
-}
-

- The regex looks for font-family: Inter followed within the same block by font-size at 40px+ or a Tailwind text-5xl (or larger) class. The scope array limits the scan to the file extensions where the pattern matters. The why and fix render in the linter's terminal output so contributors learn why the rule exists, not just that it failed. -

- -

Running it locally

-

- One command. Reads every file in the current directory matching the rule scopes, prints a JSON report, exits non-zero if any rule at or above the threshold fires: -

- 
# Default: gate on high + critical, scan ./
-$ uxskill lint
-[OK] Scanned 142 files in 412ms · 0 findings at threshold high
-
-# Lower the gate to medium
-$ uxskill lint --threshold medium
-
-# Scan one directory
-$ uxskill lint apps/web/src --threshold high
-
-# JSON output for piping
-$ uxskill lint --json | jq '.findings | length'
-

- A typical real-world failure looks like: -

- 
$ uxskill lint apps/web/src
-[FAIL] 4 findings at threshold high · exit 1
-
-  high  inter-as-display          src/components/Hero.tsx:18
-                                  Inter used as display font
-                                  fix: pair Inter (body) with Geist / Satoshi / Cabinet Grotesk
-
-  high  purple-to-blue-gradient   src/styles/hero.css:42
-                                  Default purple-to-blue AI gradient
-                                  fix: single restrained accent (Emerald, Electric Blue, Deep Rose)
-
-  high  three-equal-card-grid     src/pages/index.tsx:96
-                                  Three equal cards in a row
-                                  fix: asymmetric layouts (bento, 2-and-1, 4 with one spanning)
-
-  medium fade-in-up-everywhere    src/components/Section.tsx:24
-                                  Fade-in-up applied to every direct child
-                                  fix: differentiate motion by role; only animate first impression
-

- No LLM call. Average pass on a 200-file Next.js repo: 380ms cold, 90ms warm. -

- -

GitHub Actions workflow

-

- Drop this into .github/workflows/ux-lint.yml and every PR push blocks on the linter. The Python install is the most expensive step at ~6 seconds; the lint itself is sub-second on most repos. -

- 
# .github/workflows/ux-lint.yml
-name: ux-lint
-
-on:
-  pull_request:
-    paths:
-      - '**/*.{tsx,jsx,vue,css,scss,html,astro,blade}'
-  push:
-    branches: [main]
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: actions/setup-python@v5
-        with:
-          python-version: '3.11'
-      - run: pip install uxskill
-      - run: uxskill lint --threshold high
-      - if: failure()
-        run: uxskill lint --json > lint-report.json
-      - if: failure()
-        uses: actions/upload-artifact@v4
-        with:
-          name: ux-lint-report
-          path: lint-report.json
-

- The JSON artifact gets attached on failure so reviewers can see every finding with line numbers without re-running the lint locally. -

- -

Pre-commit hook (catch it before the push)

-

- For teams that run pre-commit, this gates the local commit before the diff ever leaves the laptop. The linter only scans staged files, so the average run is under 200ms. -

- 
# .pre-commit-config.yaml
-repos:
-  - repo: local
-    hooks:
-      - id: uxskill-lint
-        name: ux-skill anti-pattern lint
-        entry: uxskill lint --threshold high --staged
-        language: python
-        additional_dependencies: [uxskill]
-        files: \.(tsx|jsx|vue|css|scss|html|astro|blade)$
-        pass_filenames: true
- -

Before and after on a real page

-

- Here's a stripped hero block from a Next.js starter, lint-failing on three rules, and the rewritten version that exits 0. Same content, same conversion intent, different fingerprint. -

-
-
-
before · 3 findings
-
// inter-as-display, purple-to-blue,
-// three-equal-card-grid
-<section className="bg-gradient-to-br
-  from-purplefrom-purple-500#x2010;500 via-violet-500
-  to-blue-500 py-32">
-  <h1 className="font-['Inter']
-    text-7xl leading-none">
-    Build something amazing.
-  </h1>
-  <div className="grid grid-cols-3 gap-6">
-    <Card icon="Zap" title="Fast" />
-    <Card icon="Shield" title="Safe" />
-    <Card icon="Heart" title="Loved" />
-  </div>
-</section>
-
-
-
after · 0 findings
-
// display face, restrained accent,
-// asymmetric layout
-<section className="bg-stone-50 py-28">
-  <h1 className="font-['Fraunces']
-    text-6xl leading-[1.04]
-    tracking-tight">
-    The freight-routing layer
-    your TMS never shipped.
-  </h1>
-  <div className="grid grid-cols-12 gap-6 mt-16">
-    <Card className="col-span-7"
-      title="Load consolidation" />
-    <Card className="col-span-5"
-      title="Carrier ranking" />
-  </div>
-</section>
-
-
-

- Three rules fire on the "before": Inter at text-7xl, the canonical AI gradient, and the three-equal-card pattern. The "after" pairs Fraunces (display) with Inter (body, not shown), uses a flat surface, and adopts a 7-and-5 asymmetric grid. Same intent, no fingerprint. -

- -
- Linters are the only deterministic surface in an AI-assisted codebase. Every other check is probabilistic. -
- -

How it pairs with the recommender

-

- The linter alone is reactive — it catches slop in code that already exists. The full ux-skill loop is preventative and reactive: -

-
    -
  1. /ux-frame — 10-field discovery brief (the forcing function).
    2. -
  2. /ux-recommend — the Python recommender runs five parallel searches and returns a system.
    3. -
  3. /ux-design — generate the surface against that system.
    4. -
  4. /ux-lint — gate the output with the 51 regex rules.
    5. -
  5. /ux-fix — auto-patch the findings the regex can resolve (Inter → Fraunces, indigo gradient → single accent, three-card → bento).
    6. -
-

- Steps 1–3 reduce the rate at which the model produces slop. Steps 4–5 catch what slipped through. The recommender raises the floor; the linter sets the ceiling. -

- -
-
Honest scope
-

Regex catches structural fingerprints, not taste.

-

The linter will never catch "this section is the wrong rhythm" or "the copy reads cold." Those need a human or a model. What regex does catch is every fingerprint that has a literal token, pattern, or shape — which is most of the AI defaults, because the model reaches for the same artifact every time.

-

We deliberately don't run an LLM judge in CI. If your bar is "looks like a designer made it," that's a code review, not a lint. ux-skill ships /ux-critique for the taste pass — but that runs in your editor on demand, not in CI.

-
- -

Cross-IDE distribution

-

- Same Python package, every IDE that runs Python or shells out to it: Claude Code, Cursor, Windsurf, Copilot, Gemini Code Assist, Aider, Continue, Cline, Roo Code, Codex, plus seven more. Windsurf install walkthrough · Cursor install walkthrough. -

-

- If you want the linter without ux-skill's recommender and brand library, the uxskill lint subcommand is self-contained — install uxskill, point at the directory, get the report. No model, no API key, no telemetry. -

- -

Related reading

- -
- -
- Install the linter -

One package. Three install paths. 51 rules.

-

The recommender, the linter, the 25 commands, and the 73 brand specs all ship together. The linter alone is sub-second; the rest is on demand. MIT licensed, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
-
-
-
- - - - - - - diff --git a/landing/blog/vibe-coding-design-system.html b/landing/blog/vibe-coding-design-system.html deleted file mode 100644 index 09edc34..0000000 --- a/landing/blog/vibe-coding-design-system.html +++ /dev/null @@ -1,628 +0,0 @@ - - - - - - - - - Vibe coding is real — but your AI still ships Inter at 90px. Fix it with ux-skill. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- Blog · Practice · 2026-05-28 -

Vibe coding is real — but your AI still ships the same defaults.

-

- Vibe coding is the practice of describing the vibe and letting the model ship the code. The velocity is real and it is not going back. The problem is that the output reads as generated — same body face stretched into a display role, same recognizable gradient over white, same trio of equal cards under the fold. ux-skill is the rules layer that sits under the vibe and catches the defaults before they merge. -

-

By the ux-skill team · 7 min read · MIT-licensed open source

- -

What "vibe coding" actually means in 2026

-

- The term started as a half-joke in X threads in February and ended up on the cover of a few VC essays by April. The serious version of the definition: you describe intent in natural language, the model shapes the implementation, and your job moves from typing to reviewing. Andrej Karpathy's original framing said the quiet part out loud — you do not write the code, you steer it. -

-

- For frontend work the vibe is sharp. A single prompt yields a working hero, a working nav, a working signup. In a Cursor or Claude Code session, the round trip from idea to running page is now measured in minutes, not hours. -

-

- The trade is taste. The model has its own opinions, baked in from training data that overweighted a small set of startup-landing aesthetics from 2021–2024. Without something to push back, the vibe always lands in the same place. -

- -

The recognizable AI fingerprint, in one paragraph

-

- Body face stretched to display sizes around 88–96 pixels. A multi-stop gradient sweeping from indigo through violet to a blue endpoint. A trio of identical cards on a 3-column grid under the hero, each with a small icon, a one-word title, and a one-sentence subtitle. Generic placeholder copy where real product nouns belong. Hairline 100-weight body type that breaks on Windows ClearType. A fade-in-up animation on every direct child of every section, regardless of role. -

-

- None of those are wrong on their own. The fingerprint is the combination. You see one of them and shrug. You see four of them in the same fold and you know which tool generated the page. -

-
- Vibe coding gave you the velocity. The defaults are what is going to make every site look the same. -
- -

Why prompt engineering alone does not fix it

-

- The instinct is to add more text to the prompt. "Avoid the default gradient." "Use a serif display face." "Do not stack three equal cards." It works for one screen, then the next prompt forgets and the defaults return. Prompt-only steering is probabilistic and decays with context length. -

-

- What the workflow needs is a deterministic floor — a check that runs after the model writes, every time, without an LLM in the loop. That is the gap ux-skill fills. The recommender narrows the model's choices upfront. The linter punishes the model when the defaults slip through anyway. -

- -

How ux-skill plugs into the vibe-coding workflow

-

- The package ships as a single Python module with three install paths: Claude Code plugin, pip install uxskill, or npx uxskill. Once installed, the engine exposes 25 commands across 17 IDEs. The most-used four cover the full vibe loop end to end: -

- -
- - - - - - - - - - - - - - - -
StepCommandWhat it doesOutput
1. Briefux discover10-field forced intake — project type, audience, tone, must-haves, anti-list, references..ux/last-discovery.json
2. Systemux recommendFive parallel lookups over the 1,243-entry catalog — industry, style, palette, type, motion — merged into one structured system.tokens.css, manifest.json
3. Generateany vibe-coding toolCursor, Claude Code, Cline, Codex, Windsurf, Aider — whichever shipped the prompt — writes the surface against those tokens.Component code in your repo
4. Gateux lint120 deterministic regex rules over the generated code. Zero LLM cost. Exits non-zero on any high or critical finding.JSON findings · CI fail
-
- -

- The brief takes two minutes. The recommender finishes in under three seconds on a 2023 MacBook Air. The lint runs in 90 milliseconds warm on a 200-file Next.js repo. None of those steps require a token spend on a third-party API. The whole loop is offline-capable once the package is installed. -

- -

The brief is the forcing function

-

- The single highest-leverage move in vibe coding is to write the brief before you write the first prompt. The model needs constraints; the human needs to confront the choices before delegating them. -

-

- ux discover is an interactive prompt with ten fields. The order is fixed: project type, audience, primary goal, tone in 3–5 words, must-haves, forbidden list, brand references, density, motion budget, and accessibility floor. The forbidden field is the one that does the actual work — it is where you name the defaults you do not want. -

- 
$ ux discover
-
-[project_type]      landing
-[audience]          B2B logistics ops in MENA, 30-50 headcount
-[primary_goal]      demo booking
-[tone]              precise, calm, confident, technical
-[must_have]         RTL, AA accessibility
-[forbidden]         indigo-to-blue gradient, three equal cards under hero,
-                    body face used at display size, hairline 100 weight,
-                    fade-in-up on every child
-[references]        Stripe (clarity), Linear (density), The Browser Company
-[density]           comfortable
-[motion]            subtle, scroll-triggered, no autoplay
-[a11y_floor]        WCAG AA, 44px touch targets
-
-# written to .ux/last-discovery.json
- -

- Every later command reads from that file. The recommender uses the forbidden list to filter candidate palettes and motion presets out. The linter uses the must-haves to upgrade the default threshold (RTL adds direction and bidirectional-icon rules; AA adds contrast and target-size rules). -

- -

The 120 rules, in one paragraph

-

- The lint catalog is 100 entries today, up from 35 at the v2.0.0 cut. Each rule is a regex paired with a severity (low, medium, high, critical), a category (Typography, Color, Layout, Content, Motion, A11y, Quality, Visual, Performance), a one-line why, and a one-line fix. -

-

- The highest-severity entries map directly to the AI fingerprint: body face at display sizes, the canonical gradient over white, the three-equal-card pattern, the placeholder-name leak, the emoji-as-icon stamp, the marketing verb in the headline, the inline style attribute, the missing alt text on the hero image, the viewport tag that blocks pinch-zoom. None of them require an LLM call. All of them run in milliseconds. -

-

- The full taxonomy is documented in the AI design fingerprints list, and the engineering write-up is in the regex-linter-for-AI-coding post. Same engine, two angles. -

- -

What changes in the editor

-

- Inside Claude Code, Cursor, Windsurf, Cline, Continue, Codex, Aider, or Roo Code, the workflow looks like this once ux-skill is installed: -

-
    -
  1. You type a prompt. The model has the design system in its context (every IDE picks it up from tokens.css + manifest.json + the .cursorrules / CLAUDE.md / .windsurfrules file the engine emits).
    2. -
  2. The model writes the code with the brand-specific tokens instead of its defaults.
    3. -
  3. You save the file. A pre-commit hook runs the lint. If the diff includes a high-severity finding, the commit aborts with the rule id, the line, and the one-line fix.
    4. -
  4. You ask the model to fix the finding. It has the rule id in its context window. The fix lands in seconds.
    5. -
  5. The next commit goes through.
    6. -
-

- There is no manual review step where you mentally compare the output to your taste. The taste lives in the brief, the system, and the lint. You stay in vibe mode; the rails keep the vibe from rolling into the ditch. -

- -

The honest comparison against pure prompt-only steering

-
- - - - - - - - - - - - - - - -
ApproachWhere rules liveCost per checkDrift after 1000 lines
Prompt-onlyInstructions block in .md0High — context decay
LLM judge in CIPrompt run by Claude or GPT~$0.04 per pushMedium — nondeterministic
Custom ESLint pluginJavaScript AST rules~200msLow — but you wrote them
ux-skill lint120 regex rules · 1,243-entry catalog~90msLow — deterministic
-
- -
-
Honest scope
-

Regex catches structural fingerprints, not taste.

-

The lint will never catch "the rhythm of this section is wrong" or "the copy reads cold." Those are review calls. What regex does catch is every fingerprint that has a literal token, class name, hex value, or DOM shape — which is most of the AI defaults, because the model reaches for the same artifact every time.

-

If you want a taste pass on top of the lint, /ux-critique ships in the same package and runs in your editor on demand. We deliberately do not run it in CI — CI is for the deterministic floor.

-
- -

How it pairs with Cursor and Claude Code specifically

-

- Cursor reads from .cursorrules at the repo root and .cursor/rules/*.mdc under it. Claude Code reads from CLAUDE.md at the repo root and project-scoped ~/.claude/projects/<hash>/CLAUDE.md. ux-skill writes to both formats from the same recommendation. There is one source of truth (.ux/design-system/MASTER.md) and three derivatives (Cursor, Claude Code, plain tokens.css). -

-

- Walkthroughs: - Cursor install, - Windsurf install, - GitHub Copilot install, - Zed install, - JetBrains install. -

- -

The vibe is the velocity. The rules are the floor.

-

- The interesting fight in 2026 is not whether vibe coding wins — it already won for everything under a thousand lines. The interesting fight is whether the output keeps looking like every other vibe-coded page on the internet, or whether teams put a floor under it. -

-

- ux-skill is the floor. 100 rules, 1,161 catalog entries, 160 brand specs, 25 commands, 17 IDEs, 75 tests under the engine. MIT-licensed. No telemetry. The recommender raises the model's median; the linter sets the floor. The vibe is yours. -

- -

Related reading

- -
- -
- Install the rails -

One package. Three install paths. 100 rules.

-

The recommender, the linter, the 25 commands, and the 160 brand specs all ship together. The linter alone is sub-second; the rest is on demand. MIT licensed. No telemetry. No account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
— or —
-
$ pip install uxskill
-
— or —
-
$ npx uxskill@alpha init
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- - - - - - - diff --git a/landing/blog/vs-ui-ux-pro-max.html b/landing/blog/vs-ui-ux-pro-max.html deleted file mode 100644 index 440a298..0000000 --- a/landing/blog/vs-ui-ux-pro-max.html +++ /dev/null @@ -1,839 +0,0 @@ - - - - - - - - - ui-ux-pro-max alternative: ux-skill v2 — every dimension, side by side - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- Blog · Comparison · 2026-05-28 -

ui-ux-pro-max alternative: ux-skill v2 — every dimension, side by side.

-

- ui-ux-pro-max-skill is the most popular UX-skill on GitHub — 84,000 stars and a clean, data-driven recommender architecture. It earned that. But "most popular" and "deepest" are different questions. ux-skill v2 is built on the same Python-engine pattern and goes further on every numeric dimension. Here's the honest table. -

-

By the ux-skill team · 12 min read · MIT-licensed open source

- -

The numbers, side by side

-

- Both projects share the same architectural premise: a Python recommender that runs five parallel searches over structured manifests (styles, palettes, type pairings, motion, components) and returns a merged design system. Where they diverge is the depth of each manifest, what runs after the recommendation, and how widely the engine is distributed. -

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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Dimensionui-ux-pro-max-skillux-skill v2Result
GitHub stars83,95814they're far ahead on awareness
Design styles~5084+34 styles
Color palettes161176+15 palettes
Type pairings5770+13 pairings
Industry rules161184+23 industries
UX laws (named)99112+13 laws
Chart types2535+10 charts
Tech stacks1025+15 stacks
Component catalog—148net new
Motion presets—57net new
Anti-pattern rules—35deterministic, CI-ready
Brand DESIGN.md specs—72Apple, Stripe, Linear, Figma, Tesla, BMW…
Slash commands~6223.6x
Specialized sub-agents—5parallel role split
Discovery forcing function—10-field mandatory intakeimprovisation banned
Total structured entries~600998+66% volume
Distribution channelsSingle skill pluginpip + npx + Claude Code marketplace3 channels
Cross-IDE reachClaude Code primarily17 IDEs (Cursor, Windsurf, Copilot, Gemini, Aider…)multi-IDE
LicenseMITMITtied
-
-
- -
-
-

Where ui-ux-pro-max is genuinely good

-

- Let's be specific about what they shipped well, because the architecture is sound and the popularity is earned. -

-

- The Python recommender pattern. Five parallel searches — industry, style, palette, type, motion — merged into a single recommendation is the right shape for AI-coded UX. ux-skill v2 adopts the same pattern. Credit upstream. -

-

- The structured manifests. Treating styles, palettes, and type pairings as queryable JSON rather than prose was the unlock. 84,000 stars confirm developers prefer a recommender they can inspect over a black-box prompt. The category exists in part because they shipped first. -

-

- Community awareness. 84k stars is six orders of magnitude beyond what ux-skill v2 has today. If you want a tool with a wide install base, active issues, and weekly merged PRs from contributors, ui-ux-pro-max is that tool. We won't pretend otherwise. -

-

- The intent labels. Their industry-to-style mapping is well-tagged. The taxonomy holds up under inspection. We started from a similar shape and extended it, not replaced it. -

- -
-
Honesty card
-

ux-skill v2 is 14 stars vs 84,000.

-

This page exists because the recommender architecture is right, not because we're more popular. We're new (v2.0.0-alpha.1 shipped a few weeks ago) and we're solo-maintained. The case is: same architecture, deeper catalog, plus four nets new — linter, brand specs, motion presets, components.

-

If awareness and community matter more than depth to your team, install ui-ux-pro-max. If you need the dimensions ui-ux-pro-max doesn't have, read on.

-
- -

Where ux-skill v2 wins

- -

1. The deterministic linter (35 rules)

-

- ui-ux-pro-max recommends and generates. It doesn't audit. ux-skill v2 ships ux lint — a Python pass over generated code that catches the recognizable fingerprints of AI design output: Inter as display, 90px font-size with 1.0 line-height, the recognizable indigo-to-blue hero gradient, three identical card grids, generic placeholder identities, "Beautiful experiences" copy. 35 regex rules, no LLM, runs in CI as a non-zero exit code. -

-

- This is the dimension that makes ux-skill v2 enforceable. A taste prompt gives the model an instruction. A linter rejects the output if the instruction wasn't followed. -

- -

2. 160 brand DESIGN.md specs

-

- ui-ux-pro-max's recommender returns a style by name ("minimalism," "glassmorphism," "neumorphism"). ux-skill v2 returns a style and then composes the recommendation with a brand-level DESIGN.md if one applies: Apple's interface language, Stripe's product surface, Linear's IA spine, Figma's tool chrome, Tesla's automotive minimalism, BMW's M-line accent system, Notion's editor density, Spotify's media surface. 131 brands total. -

-

- The brand specs are markdown files with named tokens, type ramps, motion characteristics, surface treatments, and component-level conventions. The recommender pulls one in when the brief mentions a brand by name or matches its industry-tone signature. -

- -

3. The 22-command pipeline

-

- ui-ux-pro-max's commands are recommendation-shaped: ask for a system, get a system. ux-skill v2 ships 25 slash commands that map to a designer's actual day: -

-
    -
  • /ux-frame — 10-field discovery (the forcing function).
    • -
  • /ux-research — synthesize sources into a Hidden Profile.
    • -
  • /ux-recommend — 5-parallel-search recommendation.
    • -
  • /ux-design, /ux-component, /ux-system — generate.
    • -
  • /ux-critique, /ux-a11y, /ux-copy, /ux-motion — review lanes.
    • -
  • /ux-lint, /ux-fix, /ux-polish — audit and improve.
    • -
  • /ux-case-study, /ux-expert, /ux-next — handoff and continuation.
    • -
-

- Each command writes state to .ux/last-<cmd>.json so the next command can read what just happened. The recommender is one node in a graph, not the whole graph. -

- -

4. Five specialized sub-agents

-

- For complex builds, ux-skill v2 dispatches role-specific sub-agents: frontend-engineer, motion-engineer, design-system-architect, copy-writer, research-synthesizer. They work in parallel with shared state. ui-ux-pro-max is a single-agent invocation. -

- -

5. Cross-IDE distribution

-

- ui-ux-pro-max is primarily a Claude Code skill. ux-skill v2 is installable via pip install uxskill and runs in 17 IDE/AI-coding environments — Cursor, Windsurf, GitHub Copilot, Gemini Code Assist, Aider, Continue, Cline, Roo Code, Codex, and seven more. Three install channels: PyPI, npm, Claude Code marketplace. -

- -

Architecture diff

- -

ui-ux-pro-max architecture

-

- Single skill plugin with a SKILL.md manifest, a recommender script, and JSON data files for styles/palettes/type/industries/motion. Invoked as a single skill call. Output is a recommendation object. The plugin is the unit. -

- -

ux-skill v2 architecture

-

- A Python package (uxskill) with five modules: recommender, linter, discovery, generator, installer. 12 JSON manifests (1,243 entries). 22 markdown slash commands. 5 sub-agent definitions. 160 brand specs markdown files. 120 regex linter rules. Distributed via three channels with a thin npx wrapper for Node-centric IDEs. -

- -
- ui-ux-pro-max is a recommender. ux-skill v2 is a recommender plus a linter plus a discovery layer plus a brand library plus a sub-agent pool plus a cross-IDE installer. -
- -

License

-

- Both are MIT. Both are free for commercial use. Both forkable. Neither has telemetry. Neither requires an account. -

- -

Can you use them together?

-

- Yes — they compose well. -

-

- ui-ux-pro-max's strongest surface is its recommendation breadth on a known industry. ux-skill v2's strongest surface is the pipeline before and after that recommendation. A reasonable workflow: -

-
    -
  1. Run /ux-frame from ux-skill to lock the 10-field brief.
    2. -
  2. Ask ui-ux-pro-max for its recommendation if your industry is in its sweet spot.
    3. -
  3. Pull the recommendation into ux-skill's /ux-recommend as a seed, let ux-skill merge it with brand specs and component manifest.
    4. -
  4. Generate with /ux-design.
    5. -
  5. Run /ux-lint on the output. Fix with /ux-fix.
    6. -
-

- ui-ux-pro-max is a catalog. ux-skill is a workflow. The catalog plugs into the workflow. -

- -

So which should you install?

- -

Install ui-ux-pro-max if

-
    -
  • You want the most-starred, most-installed UX skill on GitHub.
    • -
  • You're working in Claude Code primarily.
    • -
  • You need community momentum (active issues, PRs, weekly updates).
    • -
  • You want a single skill invocation, not a pipeline.
    • -
- -

Install ux-skill v2 if

-
    -
  • You need a deterministic linter that runs in CI (the 35 regex rules).
    • -
  • You're building inside a brand language (one of the 72 specs).
    • -
  • You want chained commands — discovery, recommend, design, lint, fix, polish.
    • -
  • You're in Cursor, Windsurf, Copilot, or another non-Claude environment.
    • -
  • You want motion presets, components, and brand specs as queryable manifests, not prose.
    • -
- -

- ux-skill v2 doesn't claim to replace ui-ux-pro-max. It claims to extend the same architecture into territory ui-ux-pro-max hasn't shipped yet. Pick by what you're missing. -

-
- -
- Pick your install path -

One command. Three channels. Same engine.

-

Whichever IDE you live in, the same Python recommender + 1,243 entries + 120-rule linter + 160 brand specs runs underneath. MIT licensed, no telemetry, no account.

- -
-
$ /plugin marketplace add Laith0003/ux-skill
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$ /plugin install ux@ux-skill
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— or —
-
$ pip install uxskill
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— or —
-
$ npx uxskill@alpha init
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- - - - - - diff --git a/landing/blog/windsurf-design-rules.html b/landing/blog/windsurf-design-rules.html deleted file mode 100644 index b627115..0000000 --- a/landing/blog/windsurf-design-rules.html +++ /dev/null @@ -1,780 +0,0 @@ - - - - - - - - - Windsurf design rules — install ux-skill for Cursor-grade design output - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- Blog · Windsurf · 2026-05-28 -

Windsurf design rules — install ux-skill for Cursor-grade output.

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- Windsurf is built for agent-driven coding through Cascade. It's fast on code, deliberately neutral on aesthetics. When you ask Cascade to "design a settings page," you get the same model defaults Cursor and Claude Code produce — Inter at 90px, indigo gradients, three equal cards. ux-skill drops in as a constraint layer alongside Windsurf and changes that. -

-

By the ux-skill team · 5 min read · MIT-licensed open source

- -

How Windsurf handles design today

-

- Windsurf has no native design rules. The Cascade agent is excellent at code generation and refactor; it inherits whatever design taste the underlying model has. With nothing in .windsurfrules overriding defaults, the output reverts to the model's baseline aesthetic — the same baseline you see in any unconstrained AI design output. -

-

- Fixing that means feeding constraints in alongside the prompt. Windsurf has three viable paths: -

-
    -
  • .windsurfrules — Windsurf's project-level rules file. Loaded into every Cascade prompt as system context.
    • -
  • Global rules — user-level rules at ~/.codeium/windsurf/memories. Apply to every project.
    • -
  • External tool — run a CLI alongside Windsurf, feed its output back via the terminal pane or rules file.
    • -
-

- ux-skill works through all three. The most common install uses .windsurfrules seeded by an npx command. -

- -

Three install paths in Windsurf

- -
-
01
-

The .windsurfrules path (fastest)

-

- Generate ux-skill's rule pack into .windsurfrules at project root. The 152 anti-pattern rules plus brand-spec references become system context that Cascade sees on every prompt. No runtime dependency. -

-
- # From your project root
- $ npx uxskill@alpha init --target windsurf
- # Writes .windsurfrules with 35 rules + brand spec references -
-

Best for: existing Windsurf projects where you want design rules without changing your toolchain.

-
- -
-
02
-

The npx wrapper path (most powerful)

-

- Run ux-skill commands directly from Windsurf's integrated terminal. The full Python engine wraps behind npx, so you don't need a separate Python install. All 25 slash commands work: discover, recommend, design, lint, fix, polish, copy, motion. -

-
- $ npx uxskill@alpha recommend # interactive design system pick
- $ npx uxskill@alpha lint ./src # 120-rule anti-slop pass
- $ npx uxskill@alpha fix ./src/components # apply lint fixes -
-

Best for: actively designing inside Windsurf with the recommender, generator, and lint lanes all available.

-
- -
-
03
-

The pip install path (CI-ready)

-

- If your Windsurf project already has Python tooling, install ux-skill as a dev dependency. The ux CLI installs as a normal entry point. Add ux lint --threshold high to your pre-commit hook or CI pipeline for slop defense at commit time. -

-
- $ pip install uxskill
- $ ux lint ./src --threshold high # exit 1 on high-sev fingerprints
- # In .pre-commit-config.yaml or .github/workflows/*.yml -
-

Best for: production projects with a CI pipeline. The 35 regex rules become a non-zero exit code gate.

-
- -

What changes when ux-skill runs in Windsurf

-

- Same Cascade prompt — "design a settings page for a fintech dashboard." Windsurf without ux-skill vs Windsurf with ux-skill loaded. -

- -
-
-
Without ux-skill
-

The fingerprints arrive on schedule.

-
    -
  • Inter at 72px / line-height 1.0 for the page title
    • -
  • Indigo-to-blue gradient on the "save" button
    • -
  • Three equal cards: "Profile," "Notifications," "Billing"
    • -
  • Generic placeholder identities throughout the page
    • -
  • Hamburger menu visible on the desktop layout
    • -
  • fade-in-up 0.3s ease-out on every form section
    • -
  • Five-star testimonial widget that nobody asked for
    • -
-
-
-
With ux-skill
-

The recommender forces a system first.

-
    -
  • Recommender returns: dense-functional + cool slate + Geist/Inter pair + restrained motion
    • -
  • Brand spec reference: Linear (settings-surface idiom)
    • -
  • Page title in Geist at 36-48px, Inter 14px body
    • -
  • Neutral surface, one accent color, no gradients
    • -
  • Two-column settings layout (nav + content), not three equal cards
    • -
  • Hierarchy-aware motion: page opens, sections cascade
    • -
  • Linter pass: 35 rules check the output, exit 1 if a fingerprint sneaks through
    • -
-
-
- -

- Same Cascade. Same model. The difference is the constraint layer Windsurf reads on every prompt. -

- -

Why Cascade benefits more than chat does

-

- Cascade is Windsurf's agent loop — it generates, refines, and iterates without a human in every turn. That means the model's defaults compound. If turn 1 ships Inter at 90px, turn 2 inherits Inter at 90px and adds more on top. By turn 5 the entire codebase has the same fingerprint. -

-

- A rules file in .windsurfrules is read on every turn. The 152 anti-pattern rules and the brand spec references stay in context across the whole Cascade run. The constraints don't drift; the defaults can't compound. -

- -

What ux-skill ships

-

- For Windsurf users, the relevant numbers: -

-
    -
  • 1,243 structured entries across 12 JSON manifests — styles, palettes, type pairings, motion presets, components, industry rules, chart types, tech stacks, anti-patterns, brand specs, UX laws.
    • -
  • 120 deterministic regex rules in the anti-slop linter. No LLM judgment in the audit lane.
    • -
  • 160 brand DESIGN.md specs. Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, and 84 more.
    • -
  • 25 slash commands covering discovery, recommendation, generation, audit, polish, and handoff.
    • -
  • 5 specialized sub-agents for parallel role work.
    • -
  • 17 IDEs supported. Windsurf is one of them. Cursor, GitHub Copilot, Gemini Code Assist, Aider, Continue, Cline, Roo Code, Codex are others.
    • -
- -

Pairs well with shadcn/ui and Tailwind

-

- ux-skill doesn't ship its own component library. In Windsurf, the natural pairing is: -

-
    -
  1. ux-skill picks the design system (style + palette + type + motion).
    2. -
  2. shadcn/ui or Tailwind UI provides the actual component snippets in that system.
    3. -
  3. ux-skill's linter catches drift from the system in the generated code.
    4. -
-

- ux-skill is the brain; shadcn/Tailwind are the hands. The recommender writes tokens.css that drops straight into tailwind.config.js, so the component library inherits the chosen palette and type ramp without manual wiring. -

- -
- Windsurf is excellent at agent-driven coding. ux-skill is the constraint layer that turns "design something" into "design within these specific rules" — across every turn of the Cascade. -
- -

What it doesn't do

-
    -
  • No live preview. ux-skill is a recommender + linter. For preview, use Windsurf's normal preview workflow or pair with v0.dev / Bolt.new.
    • -
  • No Figma sync in v2 (planned for v2.2). For Figma integration, use the Figma MCP and feed tokens back into the Figma file.
    • -
  • Not a component library. 148 components in the catalog are descriptions of what to build, not finished snippets. Pair with shadcn/ui or Tailwind UI for actual implementations.
    • -
  • Not branded. ux-skill is 14 stars on GitHub. ui-ux-pro-max is 84k. If you need community momentum, install both and compose them.
    • -
- -
-
Honesty card
-

About the 14-star claim

-

ux-skill v2 is new (v2.0.0-alpha.1 shipped a few weeks ago) and solo-maintained. We don't have the install base ui-ux-pro-max or hallmark have. The case for installing is architecture — Python engine, 1,243 entries, 120-rule deterministic linter, 160 brand specs, cross-IDE distribution — not awareness.

-

Install it for the linter and the brand specs. If you only need a prompt-only taste primer, taste-skill (25k stars) is also reasonable. Both are MIT.

-
- -

Five minutes to working

-

- End to end from a fresh Windsurf project: -

-
    -
  1. Open Windsurf's integrated terminal in your project directory.
    2. -
  2. npx uxskill@alpha init --target windsurf — writes .windsurfrules and seeds the brand spec references.
    3. -
  3. npx uxskill@alpha discover — answers the 10-field discovery, writes .ux/last-discover.json.
    4. -
  4. npx uxskill@alpha recommend — reads discovery, returns style + palette + type + motion + components, writes tokens.css.
    5. -
  5. Open Cascade. Ask it to generate inside that system. The recommendation is in .windsurfrules; Cascade can't drift to defaults.
    6. -
  6. npx uxskill@alpha lint ./src — 120-rule pass. Fix any flagged lines with ux fix.
    7. -
- -

- Total install + first generation: under five minutes. Total cost: zero. License: MIT. -

- -

Related reading

- -
- -
- Install in Windsurf -

One npx command. No Python required.

-

The full ux-skill engine wraps behind npx, so Windsurf users without a Python environment still get the recommender, 120-rule linter, and 160 brand specs.

- -
-
$ npx uxskill@alpha init --target windsurf
-
— or if Python is available —
-
$ pip install uxskill
-
$ ux lint ./src --threshold high
-
— or as a Claude Code skill (if you also use Claude Code) —
-
$ /plugin marketplace add Laith0003/ux-skill
-
$ /plugin install ux@ux-skill
-
-
-
- - -
- - - - - - diff --git a/landing/blog/zed-design-plugin.html b/landing/blog/zed-design-plugin.html deleted file mode 100644 index dfe9bcf..0000000 --- a/landing/blog/zed-design-plugin.html +++ /dev/null @@ -1,669 +0,0 @@ - - - - - - - - - Zed design plugin: install ux-skill to stop generic AI design output - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · Zed · 2026-05-28 -

Zed design plugin: install ux-skill to stop generic AI design output.

-

- Zed is the new high-performance Rust IDE. Built by the team behind Atom, designed around multiplayer-by-default editing, GPU-accelerated rendering, and a first-class MCP client called the Agent Panel. Zed is excellent at code. It has nothing native for design rules. ux-skill plugs into Zed three ways and adds a deterministic design constraint layer to every AI generation. -

-

By the ux-skill team · 7 min read · MIT-licensed open source

- -

Why Zed users hit the design problem differently

-

- Zed's Agent Panel is one of the cleanest MCP host implementations available. The IDE was designed from the start to call Model Context Protocol tools, not bolted on afterward. That makes Zed unusually well-suited to ux-skill: the same MCP server that runs in Claude Desktop runs in Zed with no adaptation. -

-

- But Zed inherits the same model defaults that every other AI surface does. When you ask Zed's agent to "build a landing page," the output reverts to Inter at 90px, the canonical purple-to-blue AI gradient, three identical cards, and "Click here" CTAs. These are not Zed's choices; they are the underlying model's defaults, which Zed inherits along with the rest of its agent capabilities. -

-

- Fixing that means feeding constraints in alongside the prompt. ux-skill exposes a recommender, a generator, and a linter, all reachable from Zed through three install paths. -

- -

Three install paths in Zed

- -
-
01
-

The MCP server path (recommended)

-

- Zed's Agent Panel reads its MCP server list from ~/.config/zed/settings.json under the context_servers key. Add ux-skill as a stdio server pointing at the ux-mcp entry point and the 14 tools become available to the agent. -

-
- // ~/.config/zed/settings.json
- {
-   "context_servers": {
-     "uxskill": {
-       "command": "ux-mcp",
-       "args": [],
-       "env": {}
-     }
-   }
- } -
-

Best for: Zed users who already work through the Agent Panel and want the full 14-tool surface (recommender, linter, brand library, persist layer).

-
- -
-
02
-

The CLI path (works in Zed's terminal pane)

-

- Zed ships a native terminal pane. Install ux-skill with pip or npx and call the CLI directly from there. Useful when you want the linter as a pre-push gate or as a one-off pass against a directory. -

-
- $ pip install uxskill
- $ ux discover # 10-field interactive brief
- $ ux recommend # 5-parallel-search merge
- $ ux lint ./src --threshold high # exit 1 on fingerprints -
-

Best for: actively designing inside Zed's terminal, or running the linter as a CI step independent of the Agent Panel.

-
- -
-
03
-

The pre-commit hook path (CI-grade gate)

-

- If your Zed project already uses pre-commit, ux-skill registers as a hook that runs against staged files. The linter scans only what is about to be committed, so the average run stays under 200 milliseconds. -

-
- # .pre-commit-config.yaml
- repos:
-   - repo: local
-     hooks:
-       - id: uxskill-lint
-         entry: uxskill lint --threshold high
-         language: python -
-

Best for: production projects where the linter must run on every commit, independent of which IDE the author used.

-
- -

What changes when ux-skill runs in Zed

-

- Same prompt to Zed's Agent Panel: "design a landing page for a payments platform targeting MENA SMBs." Zed alone versus Zed plus ux-skill loaded as an MCP server. -

- -
-
-
Zed alone
-

The fingerprints arrive on schedule.

-
    -
  • Hero with Inter at 96px and line-height 1.0
    • -
  • Default purple-to-blue gradient behind the hero
    • -
  • Three identical pricing cards in equal-height grid
    • -
  • "Beautiful payments, seamlessly" hero copy
    • -
  • "Get started" and "Learn more" button pair
    • -
  • fade-in-up motion on every direct child
    • -
  • Placeholder names like Maya Iqbal not provided; model uses generic Western names instead
    • -
-
-
-
Zed plus ux-skill
-

The recommender forces a system first.

-
    -
  • Recommender returns: editorial-precise plus cool-neutral plus warm accent plus Fraunces/Inter pair plus restrained motion
    • -
  • Brand spec reference: Stripe (payments) and Linear (precision)
    • -
  • Hero with Fraunces at 56-72px italic, Inter 18px body
    • -
  • Cool surface canvas, one accent color, no gradient
    • -
  • Asymmetric layout, not three identical cards
    • -
  • Hierarchy-aware motion: hero opens, supporting content cascades
    • -
  • Linter exits 1 if any of 68 regex fingerprints sneak through
    • -
-
-
- -

- The difference is not taste-by-magic. It is constraint by structure. Zed's Agent Panel still generates the code; ux-skill defines the rails it cannot drift off. -

- -

Why Zed pairs well with the MCP path specifically

-

- Other IDEs have project-rule files (Cursor's .cursorrules, Windsurf's .windsurfrules, Copilot's .copilotrules). Zed does not lean on a project-rule file the same way. It leans on the Agent Panel's MCP client, which means the cleanest design extension is the MCP server, not a static rules file. -

-

- ux-skill v2 publishes 14 MCP tools. The Agent Panel sees all 14 the moment Zed starts. The recommender (ux_recommend) and the linter (ux_lint) are the two most commonly invoked; the rest cover catalog reads and persistence. -

- -

What ux-skill ships

-

- For Zed users, the relevant numbers are: -

-
    -
  • 959 structured entries across 12 JSON manifests — styles (84), palettes (176), type pairs (70), motion presets (57), components (148), industries (184), chart types (35), tech stacks (25), anti-patterns (68), UX guidelines (112).
    • -
  • 68 deterministic regex rules in the anti-slop linter. No LLM judgment in the audit lane.
    • -
  • 160 brand DESIGN.md specs. Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, plus 84 more.
    • -
  • 14 MCP tools registered, all reachable from Zed's Agent Panel through one config block.
    • -
  • 25 slash commands when used alongside Claude Code on the same project.
    • -
- -

How Zed differs from VS Code design extensions

-

- VS Code has a deep extension marketplace with several design-token managers and theme builders. None of them carry the same architecture as ux-skill, but it is worth being explicit about the difference. -

-
    -
  • VS Code design extensions are theme-focused. They help you author colors and tokens for the editor itself or for a static design system file. ux-skill is recommender-focused — it picks the system based on a brief, then enforces it in code.
    • -
  • VS Code extensions run inside the IDE. ux-skill is a Python engine that runs as a subprocess. Same machinery in Cursor, Windsurf, Zed, Claude Desktop, Continue. The IDE is interchangeable.
    • -
  • VS Code extensions cannot enforce in CI. ux-skill ships as a pip package, so the same lint runs in pre-commit and in GitHub Actions. The IDE is one transport; CI is another.
    • -
-

- Zed's strength is that it understands MCP natively. That makes the engine-as-subprocess pattern feel native instead of bolted on. -

- -
- Zed is excellent at code. ux-skill is the constraint layer that turns "design something" into "design within these specific rules." -
- -

What it does not do

-

- Be specific about the limits: -

-
    -
  • No Zed-specific theme. ux-skill recommends design systems for the projects you build in Zed, not for the Zed editor itself. For Zed themes, use Zed's built-in theme marketplace.
    • -
  • No live preview. ux-skill is a recommender plus linter. Use Zed's normal preview workflow or pair with v0.dev / Bolt.new.
    • -
  • No component library. The 148 components in the catalog are descriptions of what to build, not finished snippets. Pair with shadcn/ui MCP or Tailwind UI for actual implementations.
    • -
  • Not branded. ux-skill is 14 stars on GitHub. ui-ux-pro-max-skill is 84,005. If you need community momentum, install both and compose them.
    • -
- -
-
Honesty card
-

About the 14-star claim

-

ux-skill v2 is new (v2.0.0-alpha.1 shipped recently) and solo-maintained. We do not have the install base ui-ux-pro-max-skill has. The case for installing in Zed is architecture — an MCP server with 14 tools, a 120-rule deterministic linter, 160 brand specs, cross-IDE distribution — not awareness.

-

Install it for the MCP server and the linter. If you only need a prompt-only taste primer, taste-skill (25,359 stars) is also reasonable. Both are MIT.

-
- -

Five minutes to working

-

- End to end from a fresh Zed project: -

-
    -
  1. pipx install uxskill in Zed's terminal pane.
    2. -
  2. Verify which ux-mcp returns a path.
    3. -
  3. Open ~/.config/zed/settings.json, add the context_servers block from earlier.
    4. -
  4. Restart Zed.
    5. -
  5. In the Agent Panel, ask the agent to "use ux_recommend to pick a design system for X." The tool call fires; the recommendation lands.
    6. -
  6. Ask the agent to "use ux_persist_save to write MASTER.md to the project root." The design system materializes as files.
    7. -
- -

- Total install plus first generation: under five minutes. Total cost: zero. License: MIT. -

-
- -
- Install in Zed -

One MCP block. No extension required.

-

Zed's Agent Panel is one of the cleanest MCP host implementations available. ux-skill ships an MCP server with 14 tools; one paste into ~/.config/zed/settings.json and the engine is live.

- -
-
$ pipx install uxskill
-
$ which ux-mcp
-
— then paste into ~/.config/zed/settings.json —
-
"context_servers": { "uxskill": { "command": "ux-mcp" } }
-
— or as a Claude Code plugin —
-
$ /plugin install ux@ux-skill
-
-
-
- - - - - - - diff --git a/landing/blog/zh-CN/vibe-coding-shipping-real-design.html b/landing/blog/zh-CN/vibe-coding-shipping-real-design.html deleted file mode 100644 index 4bb6830..0000000 --- a/landing/blog/zh-CN/vibe-coding-shipping-real-design.html +++ /dev/null @@ -1,610 +0,0 @@ - - - - - - - - - 用「Vibe Coding」做出真正能交付的设计 — 而不是 AI 默认的紫蓝渐变 — ux-skill - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- ux - -
- -
-
- Blog · 简体中文 · 2026-05-28 -

用「Vibe Coding」做出
真正能交付的设计 — 而不是 AI 默认渐变

-

- 「Vibe Coding」是 2026 年的新词,意思是用自然语言描述意图,让模型把代码写出来。速度是真的,而且回不去了。问题是输出永远看起来「像生成的」——同一种字体被拉到 90 像素当标题,同一组紫到蓝的渐变盖在白色之上,英雄区下面同样三张一样的卡片。ux-skill 是垫在「氛围」下面的规则层,在合并之前抓住这些默认值。 -

-

By the ux-skill team · 8 min read · MIT-licensed open source

- -

「Vibe Coding」到底是什么

-

- 这个词起源于 2026 年 2 月X(原 Twitter)上一条半开玩笑的帖子,到了 4 月已经出现在风投的长文标题里。认真版本的定义是:你用自然语言写意图,模型负责实现,你的工作从「打字」变成「审稿」。Andrej Karpathy 最初的提法说得很直白——你不写代码,你「掌舵」代码。 -

-

- 在前端的语境里,这种「氛围编程」非常顺手。一条 prompt 出一个能跑的 hero、能跑的导航、能跑的注册页。在 Cursor 或 Claude Code 的会话里,从想法到能跑的页面的往返时间,现在是按分钟计而不是按小时计。 -

-

- 代价是品味。模型有自己的偏好,这种偏好是从训练数据里烧进去的——而那批数据严重偏向 2021–2024 年那一小撮 YC 与 Vercel 风格的创业落地页。没有反向推力,氛围每次都会落在同一个位置。 -

- -

那组「AI 指纹」,用一段话讲清

-

- 正文字体被拉到 88–96 像素的标题尺寸,行高 1.0。一道多色阶渐变从靛蓝穿过紫到蓝色端点,铺在白色或近白底上。英雄区下方一排三张一模一样的卡片,3 列网格,每张卡片配一个小图标、一个单词标题、一句副标题。本该写产品具体名词的地方塞着模板化的占位文案。还有 100 字重的纤体正文,在 macOS Retina 上看起来很「精致」,在 Windows ClearType 下断裂。每个 section 的每个直接子元素都套着同样的 fade-in-up。 -

-

- 单独看,这些没一个是错的。指纹是「组合」。看到一个你会耸耸肩,看到同一屏里出现四个,你就能猜出是哪个工具生成的。 -

-
- Vibe Coding 给你速度,而默认值会让每个站点看起来都一样。 -
- -

为什么靠 prompt 调教不够

-

- 本能反应是往 prompt 里多塞文字:「不要用默认渐变」「用一款衬线显示字体」「不要并排三张相同卡片」。这在第一屏奏效。下一条 prompt 就忘了,默认值又回来了。纯 prompt 的引导是概率性的,会随着上下文长度衰减。 -

-

- 工作流需要的是「确定性的地板」——一种在模型写完之后每次都跑、不在循环里塞 LLM 的检查。这正是 ux-skill 填补的缺口。推荐器在前期收窄模型可选项,而 linter 在默认值漏出时直接惩罚模型。 -

- -

ux-skill 接入 Vibe Coding 的位置

-

- 这是一个独立的 Python 包,3 条安装路径:Claude Code 插件、pip install uxskill、或 npx uxskill。装好之后,引擎对外暴露横跨 17 个 IDE 的 22 个命令。其中最常用的 4 个就覆盖了整个氛围循环。 -

- -
- - - - - - - - - - - - - - - -
步骤命令做什么输出
1. 立项ux discover10 个字段强制问询——项目类型、人群、调性、必须有、禁用清单、参考。.ux/last-discovery.json
2. 系统ux recommend对 998 条目录并行 5 路查询——行业、风格、配色、字体、动效——合成为一个结构化系统。tokens.css · manifest.json
3. 生成任意 Vibe Coding 工具Cursor、Claude Code、Cline、Codex、Windsurf、Aider——发 prompt 的那一个负责按 tokens 写代码。仓库内的组件代码
4. 卡门ux lint100 条确定性正则规则扫生成代码。零 LLM 成本。遇到 high 或 critical 级别立刻非零退出。JSON 结果 · CI 失败
-
- -

- 立项 2 分钟。推荐器在 2023 款 MacBook Air 上跑完不到 3 秒。linter 本身在一个 200 文件的 Next.js 仓库上的热缓存耗时是 90 毫秒。这些步骤都不需要往第三方 API 烧 token。装好之后,整条循环可以离线跑。 -

- -

立项是「强制函数」

-

- 在 Vibe Coding 里,杠杆最大的一步就是「在写第一条 prompt 之前先写立项」。模型需要约束,而人需要在「委托」之前先正面回答这些选择。 -

-

- ux discover 是一个交互 prompt,顺次问 10 个字段。顺序是固定的——项目类型、人群、主目标、3–5 个词的调性、必须有、禁用清单、品牌参考、信息密度、动效预算、可访问性底线。真正做事的是「禁用清单」字段。你在这里点名你不想要的默认值。 -

- 
$ ux discover
-
-[project_type]      landing
-[audience]          国内 B2B SaaS 创业团队,10-50 人
-[primary_goal]      demo 预约
-[tone]              precise, calm, confident, technical
-[must_have]         WCAG AA,44px 触控目标
-[forbidden]         正文字体当显示字体,三张同款卡片排一排,
-                    白底广域渐变,100 字重纤体,
-                    全部子元素 fade-in-up
-[references]        Stripe (clarity), Linear (density), Arc
-[density]           comfortable
-[motion]            subtle, scroll-triggered, no autoplay
-
-# 写入 .ux/last-discovery.json
- -

- 后续所有命令都读这份文件。推荐器用「禁用清单」过滤候选配色和动效预设;linter 用「必须有」上调默认阈值。 -

- -

100 条规则,一段话讲清

-

- 现在的 lint 目录里有 100 条,从 v2.0.0 发布时的 35 条增长起来。每条规则配一个正则、一个严重程度(low、medium、high、critical)、一个类别(Typography、Color、Layout、Content、Motion、A11y、Quality、Visual、Performance)、一行解释「为什么」、一行说明「怎么修」。 -

-

- 最高级别那批,直接对应 AI 指纹:正文字体当显示字体、白底广域渐变、三张同款卡片、占位姓名泄漏、把表情符号当图标盖章、标题里的营销动词、行内 style 属性、英雄图缺 alt、阻止双指缩放的 viewport 标签。这些都不需要调用 LLM,全部以毫秒计。 -

-

- 完整分类见AI 设计指纹列表,工程实现见正则 linter 文章。同一个引擎,两种切入。 -

- -

编辑器里的实际变化

-

- 在 Claude Code、Cursor、Windsurf、Cline、Continue、Codex、Aider 或 Roo Code 里装好 ux-skill 后,工作流是这样: -

-
    -
  1. 你输 prompt。模型的上下文里已经带着设计系统(每个 IDE 都会读取 tokens.css、manifest.json 和引擎写出的 IDE 专属规则文件——.cursorrules、CLAUDE.md、.windsurfrules 等)。
    2. -
  2. 模型按你的 tokens 写代码,不再写它自己的默认值。
    3. -
  3. 你保存文件。pre-commit 钩子跑 lint。如果 diff 里包含 high 级别的发现,commit 会中止,并打印规则 id、行号、单行修复建议。
    4. -
  4. 你让模型修。规则 id 已经在它的上下文里。修复几秒钟落地。
    5. -
  5. 下一次 commit 通过。
    6. -
-

- 没有那个「自己头脑里把输出和自己的品味对一遍」的手动审稿步骤了。品味住在立项、系统和 lint 里。你保持在 Vibe 模式,而护栏不让 Vibe 滚进沟里。 -

- -

跟纯 prompt 调教的诚实对比

-
- - - - - - - - - - - - - - - -
方式规则住在哪每次检查成本1000 行后的漂移
纯 prompt.md 指令段0高 · 上下文衰减
CI 里跑 LLM 评审Claude 或 GPT 的 prompt~$0.04/推送中 · 非确定性
自写 ESLint 插件JS AST 规则~200ms低 · 但代码要你写
ux-skill lint100 条正则 · 998 目录~90ms低 · 确定性
-
- -
-
范围澄清
-

正则抓的是结构性指纹,不是品味。

-

lint 永远不会判定「这一段的节奏不对」或「文案读起来太冷」。那是审稿的工作。正则确实能抓住的,是每一个有字面 token、class 名、十六进制值或 DOM 形状的指纹——这刚好覆盖了 AI 默认值里的绝大多数,因为模型每次都会伸手抓同一个产物。

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如果想在 lint 之上加一层「品味检查」,同一个包里附带 /ux-critique 命令,在编辑器内按需触发。我们刻意不把它放在 CI 里——CI 是放「确定性地板」的地方。

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- -

跟 Cursor 与 Claude Code 的具体接入

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- Cursor 会读仓库根目录的 .cursorrules 与其下的 .cursor/rules/*.mdc。Claude Code 读根目录的 CLAUDE.md 以及项目作用域下的 ~/.claude/projects/<hash>/CLAUDE.md。ux-skill 从同一份推荐里把两种格式都写出来。真相只有一份(.ux/design-system/MASTER.md),衍生物有三份(Cursor、Claude Code、纯 tokens.css)。 -

-

- 操作步骤: - Cursor 接入、 - Windsurf 接入、 - GitHub Copilot 接入、 - Zed 接入。 -

- -

Vibe 是速度,规则是地板

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- 2026 年值得讨论的不是「Vibe Coding 会不会赢」——它在千行以内的任务上已经赢了。真正值得讨论的,是输出会不会一直长得跟互联网上其他所有 Vibe Coding 页面一样,还是团队愿意往下面垫一层地板。 -

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- ux-skill 就是那层地板。100 条规则、998 条目录、110 条品牌规范、22 条命令、17 个 IDE、引擎下 75 个测试。MIT 协议。零遥测。推荐器把模型的中位数抬上去,linter 把地板钉死。Vibe 还是你的。 -

- -

相关阅读

- -
- -
- 装上护栏 -

一个包,3 条安装路径,100 条规则。

-

推荐器、linter、22 个命令、110 条品牌规范一起发布。lint 本体亚秒级,其它按需调用。MIT 协议,零遥测,不要账户。

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$ /plugin marketplace add Laith0003/ux-skill
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$ /plugin install ux@ux-skill
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— 或 —
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$ pip install uxskill
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— 或 —
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$ npx uxskill@alpha init
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- - - - - - - diff --git a/landing/brand-identity.md b/landing/brand-identity.md deleted file mode 100644 index a2de5e1..0000000 --- a/landing/brand-identity.md +++ /dev/null @@ -1,169 +0,0 @@ -# Brand identity — for the ux-skill landing page - -Source: user-provided Claude.com / Anthropic brand spec. This file is the load-bearing input for the landing-page sub-agent dispatch. - -## Overview - -Claude.com is the warmest, most editorial interface in the AI-product category. The base atmosphere is a **tinted cream canvas** (`{colors.canvas}` — #faf9f5) — distinctly warm, deliberately not the cool gray-white that every other AI brand uses. Headlines run a **slab-serif display** ("Copernicus" / Tiempos Headline) at weight 400 with negative letter-spacing, paired with **StyreneB / Inter** body sans. The combination feels like a literary publication, not a SaaS marketing page. - -Brand voltage comes from the **cream + coral pairing** — coral (`{colors.primary}` — #cc785c) is the signature Anthropic accent, used on every primary CTA, on the brand wordmark, and on full-bleed callout cards. The coral is warm, slightly muted, never cyan/blue — a deliberate counter-positioning against OpenAI's cool slate, Google's saturated blue, and Microsoft's corporate cyan. - -The system has three surface modes that alternate page-by-page: -1. **Cream canvas** (`{colors.canvas}`) — default body floor -2. **Light cream cards** (`{colors.surface-card}`) — feature card backgrounds -3. **Dark navy product surfaces** (`{colors.surface-dark}`) — code editor mockups, model showcase cards, pre-footer CTAs, footer itself - -The dark surfaces are where Claude shows its product chrome — code blocks, terminal output, model comparison tables, agentic-flow diagrams. The cream-to-dark contrast is the page's pacing rhythm. - -**Key Characteristics:** -- Warm cream canvas (`{colors.canvas}` — #faf9f5) with dark warm-ink text (`{colors.ink}` — #141413). The brand's defining color choice. -- Coral primary CTA (`{colors.primary}` — #cc785c). Used scarcely on individual buttons, generously on full-bleed coral callout cards. -- Slab-serif display headlines via Copernicus / Tiempos Headline at weight 400 with negative letter-spacing. Pairs with humanist sans body for a literary editorial voice. -- Dark navy product mockup cards (`{colors.surface-dark}` — #181715) carrying code blocks, terminal panels, model comparison data — the brand shows the product chrome at scale rather than abstract marketing illustrations. -- Light cream feature cards (`{colors.surface-card}` — #efe9de) — slightly darker than canvas, used for content-driven feature explanations. -- Anthropic radial-spike mark — a small black asterisk-like glyph (4-spoke radial) — appears as the brand wordmark prefix and as a content marker. -- Border radius is hierarchical: `{rounded.md}` (8px) for buttons + inputs, `{rounded.lg}` (12px) for content + product cards, `{rounded.xl}` (16px) for the hero illustration container, `{rounded.pill}` for badges. -- Section rhythm `{spacing.section}` (96px) — modern-SaaS standard. Internal card padding stays generous at `{spacing.xl}` (32px). - -## Colors - -### Brand & Accent -- **Coral / Primary** (`{colors.primary}` — #cc785c): The signature warm coral. Used on every primary CTA background, on full-bleed coral callout cards, on the brand wordmark accent. -- **Coral Active** (`{colors.primary-active}` — #a9583e): The press / hover-darker variant. -- **Coral Disabled** (`{colors.primary-disabled}` — #e6dfd8): A desaturated cream-tinted disabled state. -- **Accent Teal** (`{colors.accent-teal}` — #5db8a6): Used sparingly on secondary product surfaces. -- **Accent Amber** (`{colors.accent-amber}` — #e8a55a): A small companion warm-tone used on category badges and inline highlights. - -### Surface -- **Canvas** (`{colors.canvas}` — #faf9f5): The default page floor. Tinted cream — warm, deliberately not pure white. -- **Surface Soft** (`{colors.surface-soft}` — #f5f0e8): Section dividers, very-soft band backgrounds. -- **Surface Card** (`{colors.surface-card}` — #efe9de): Feature cards, content cards. One step darker than canvas. -- **Surface Cream Strong** (`{colors.surface-cream-strong}` — #e8e0d2): A strongest-cream variant used on selected category tabs and emphasized section bands. -- **Surface Dark** (`{colors.surface-dark}` — #181715): Code editor mockups, model showcase cards, footer. The dominant dark surface. -- **Surface Dark Elevated** (`{colors.surface-dark-elevated}` — #252320): Elevated cards inside dark bands. -- **Surface Dark Soft** (`{colors.surface-dark-soft}` — #1f1e1b): Slightly lighter dark, used for code block backgrounds inside larger dark cards. -- **Hairline** (`{colors.hairline}` — #e6dfd8): The 1px border tone on cream surfaces. -- **Hairline Soft** (`{colors.hairline-soft}` — #ebe6df): Barely-visible divider used inside the same band. - -### Text -- **Ink** (`{colors.ink}` — #141413): All headlines and primary text. Warm dark, slightly off-pure-black. -- **Body Strong** (`{colors.body-strong}` — #252523): Emphasized paragraphs, lead text. -- **Body** (`{colors.body}` — #3d3d3a): Default running-text color. -- **Muted** (`{colors.muted}` — #6c6a64): Sub-headings, breadcrumbs, footer-adjacent secondary text. -- **Muted Soft** (`{colors.muted-soft}` — #8e8b82): Captions, fine-print, copyright lines. -- **On Primary** (`{colors.on-primary}` — #ffffff): Text on coral buttons. -- **On Dark** (`{colors.on-dark}` — #faf9f5): Cream-tinted white used on dark surfaces (echoes the canvas tone). -- **On Dark Soft** (`{colors.on-dark-soft}` — #a09d96): Footer body text, secondary labels in dark mockups. - -### Semantic -- **Success** (`{colors.success}` — #5db872): Green status dots, "available" indicators. -- **Warning** (`{colors.warning}` — #d4a017): Warning callouts (rare on marketing surfaces). -- **Error** (`{colors.error}` — #c64545): Validation errors. - -## Typography - -**Display**: Copernicus / Tiempos Headline → Cormorant Garamond at weight 500 with -0.02em letter-spacing is the closest open-source approximation. EB Garamond is a fallback. -**Body**: StyreneB → Inter (humanist sans). -**Code**: JetBrains Mono. - -Display sizes use weight 400 (regular), never bold. Negative letter-spacing (-0.3 to -1.5px) is essential — serif without it reads as off-brand. - -### Hierarchy - -| Token | Size | Weight | Line Height | Letter Spacing | -|---|---|---|---|---| -| display-xl | 64px | 400 | 1.05 | -1.5px | -| display-lg | 48px | 400 | 1.1 | -1px | -| display-md | 36px | 400 | 1.15 | -0.5px | -| display-sm | 28px | 400 | 1.2 | -0.3px | -| title-lg | 22px | 500 | 1.3 | 0 | -| title-md | 18px | 500 | 1.4 | 0 | -| title-sm | 16px | 500 | 1.4 | 0 | -| body-md | 16px | 400 | 1.55 | 0 | -| body-sm | 14px | 400 | 1.55 | 0 | -| caption | 13px | 500 | 1.4 | 0 | -| caption-uppercase | 12px | 500 | 1.4 | 1.5px | -| code | 14px | 400 | 1.6 | 0 | -| button | 14px | 500 | 1.0 | 0 | -| nav-link | 14px | 500 | 1.4 | 0 | - -## Layout - -- Spacing base: 4px. Tokens: xxs(4) xs(8) sm(12) md(16) lg(24) xl(32) xxl(48) section(96). -- Section padding: 96px. -- Card padding: 32px for feature/pricing/model-comparison cards; 24px for code-window cards. -- Max content width: 1200px centered. -- Hero: 6/6 split (h1 left, illustration/mockup right). -- Feature card grids: 3-up desktop / 2-up tablet / 1-up mobile. - -## Elevation & Depth - -| Level | Treatment | Use | -|---|---|---| -| Flat | No shadow, no border | Body sections, top nav, hero bands | -| Soft hairline | 1px hairline border | Inputs, sub-nav, occasionally cards | -| Cream card | surface-card background, no shadow | Feature cards, content cards | -| Dark surface | surface-dark background, no shadow | Code mockups, model cards, footer | -| Subtle drop | `0 1px 3px rgba(20,20,19,0.08)` | Rare hover-elevated states | - -**Color-block first, shadow rare.** Depth from surface contrast. - -## Shapes - -| Token | Value | Use | -|---|---|---| -| rounded.xs | 4px | Badge accents, tiny dropdowns | -| rounded.sm | 6px | Small inline buttons, dropdown items | -| rounded.md | 8px | Standard CTAs, text inputs, category tabs | -| rounded.lg | 12px | Content cards (feature, pricing, code-window, model-comparison) | -| rounded.xl | 16px | Hero illustration container, larger marquee components | -| rounded.pill | 9999px | Badge pills, NEW tags | -| rounded.full | 50% | Avatars, icon buttons | - -## Components (key ones for the landing) - -- **top-nav** — cream nav bar, 64px tall, spike-mark + "ux" wordmark at left, primary menu center, "Sign in" + coral primary CTA right -- **button-primary** — coral background (#cc785c), white text, 14px/500, 40px tall, rounded 8px -- **button-secondary** — cream background, ink text, 1px hairline border -- **button-secondary-on-dark** — surface-dark-elevated background, on-dark text. Stays dark; never inverts. -- **text-link** — inline coral underlined-on-press -- **hero-band** — cream canvas, 6/6 grid: h1 + sub + buttons left, illustration/mockup card right, 96px vertical padding -- **hero-illustration-card** — rounded 16px, cream-canvas OR surface-dark depending on context -- **feature-card** — surface-card background (#efe9de), rounded 12px, 32px padding -- **product-mockup-card-dark** — surface-dark (#181715), rounded 12px, 32px padding — actual product chrome -- **code-window-card** — surface-dark with surface-dark-soft inner code block, JetBrains Mono, line numbers -- **model-comparison-card** — canvas with hairline border, rounded 12px, 32px padding -- **pricing-tier-card** — canvas with hairline; featured tier flips to surface-dark -- **callout-card-coral** — full-bleed coral, white text, rounded 12px, 48px padding — voltage moment -- **badge-coral** — coral fill, white caption-uppercase, rounded pill -- **cta-band-coral** — pre-footer coral fill, 64px padding, white type, cream button -- **cta-band-dark** — alternative pre-footer surface-dark, 64px padding -- **footer** — surface-dark, on-dark-soft text, 4-column links, never inverts - -## Pacing & Rhythm - -Section sequence: cream → cream-card → dark-mockup → cream → coral-callout → dark-footer. Don't repeat the same surface mode in consecutive bands. - -## Do / Don't - -### Do -- Anchor every page on cream canvas. Pure white reads as generic. -- Use serif for every display headline. Body in humanist sans. -- Reserve coral for primary CTAs + full-bleed callout cards. Scarce elsewhere. -- Show actual product chrome in dark mockup cards, not abstract illustrations. -- Alternate cream → dark → cream pacing. -- Use Anthropic spike-mark glyph as the wordmark prefix (we'll adapt to a "ux" wordmark + spike-style accent). - -### Don't -- No cool grays. No pure white. -- No bold serif display weight — stay at 400. -- No blue/cyan accent — coral is the voltage. -- No serif body. No Inter as the display face. -- No consecutive same-surface bands. Pacing alternates. -- No hover state styling beyond what's encoded — primary darkens on press, nothing else. - -## Notes for the landing - -- The ux-skill plugin is open-source and is NOT Anthropic's product. The Claude.com aesthetic is a STYLE direction (warm cream + coral + dark editorial). The landing must clearly attribute the plugin to its author (Laith Aljunaidy), not Anthropic. -- Substitute fonts: Cormorant Garamond (weight 500, -0.02em tracking) for serif display + Inter for body + JetBrains Mono for code. Loaded via Google Fonts. -- The radial spike-mark is an Anthropic brand glyph — we don't use it directly. We design our own brand-mark that complements the cream-and-coral palette without copying Anthropic's logo. diff --git a/landing/brands.html b/landing/brands.html deleted file mode 100644 index df145e6..0000000 --- a/landing/brands.html +++ /dev/null @@ -1,3077 +0,0 @@ - - - - - - - - -160 brand DESIGN specs — the ux-skill catalogue - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Brand catalogue · v2.4.0

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160 brand DESIGN.md specs.

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- The recommender doesn't guess. Each brand is a queryable spec.json and a prose DESIGN.md — palette, typography, philosophy, components observed, voice do's-don'ts, anti-patterns to avoid. The AI session pulls the whole spec, not a slogan. Apple, Stripe, Linear, Vercel, Ferrari, Anthropic, and 154 more. -

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- 160 brand specs - 9 categories - MIT · no telemetry -
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- #1password - Developer Tools -

1Password

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1Password's web presence is security-trust-as-friendly chrome — a deep navy (#0a2540) as the primary anchor, a soft sky blue (#5b8def) as the brand accent, and illustration-driven heroes featuring people in everyday secure contexts (logging into accounts, sharing access with family). The atmosphere is friendly enterprise security: confident but approachable, never alarm-bell, never dark-pattern.

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- spec.json - DESIGN.md - link -
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- #adidas - Consumer / Lifestyle / Retail -

Adidas

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Adidas's web presence is sports-and-streetwear editorial — the three-stripes wordmark, an unapologetic black-on-white chrome, athletic-action photography blended with high-fashion lookbook crops, and a single chromatic accent (often the season's signature color: lime, electric blue, or solar red). The atmosphere is performance-meets-runway: track athletes shot under stadium lighting and street-style models shot in deconstructed urban contexts share the same chrome.

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- spec.json - DESIGN.md - link -
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- #aesop - Consumer / Lifestyle / Retail -

Aesop

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The deepest apothecary in beauty — sepia canvas, chocolate ink, Walbaum serif everywhere, text-link CTAs instead of buttons. Reads like a 19th-century pharmacopeia.

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- spec.json - DESIGN.md - link -
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- #airbnb - Consumer / Lifestyle / Retail -

Airbnb

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A warm, generous consumer marketplace anchored on a clean white canvas and Airbnb Rausch (#ff385c), the single brand voltage that carries every primary CTA, search-button orb, and rating dot.

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- spec.json - DESIGN.md - link -
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- #airtable - Productivity / Collaboration -

Airtable

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A sober, editorial workflow-software interface anchored on white canvas and dark-ink type, where brand voltage comes from full-bleed signature cards in coral, dark green, peach, and dark navy that punctuate long-scroll explainer pages.

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- spec.json - DESIGN.md - link -
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- #allbirds - Consumer / Lifestyle / Retail -

Allbirds

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Warm-minimalism e-commerce — ivory canvas, sage and terracotta worn-material accents, serif-display literary voice, product photography on textured paper.

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- spec.json - DESIGN.md - link -
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- #aman-resorts - Travel / Hospitality -

Aman Resorts

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An inspired interpretation of Aman Resorts — the Singapore-founded ultra-luxury collection of 30+ properties known internally as 'the world's most discreet hotel brand'. Where Four Seasons whispers, Aman is nearly silent. Canvas is bone-white (#f4f0e8) or deep monsoon-black. Type is a restrained serif (custom Aman Serif / Garamond) at modest sizes — refusing the 80px display headlines that every other luxury brand has adopted. Photography is meditative travel-photography — no people, no smiles, no tables-with-wine; instead, single tatami rooms at dawn, fog over a Bhutanese valley, water-lily ponds at dusk. The brand voice is 'sanctuary' — a word Aman uses in every property description. The chrome is so reduced it nearly disappears, treating each property as a privately-owned retreat the visitor is being granted access to.

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- spec.json - DESIGN.md - link -
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- #amazon - Consumer / Lifestyle / Retail -

Amazon

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Amazon's storefront is the textbook density-over-elegance e-commerce surface — Ember system font, dense product grids, yellow 'Add to Cart' as the brand voltage, conversion-engineered chrome where every pixel earns its place by lifting purchase rate. The atmosphere is utilitarian to the point of austerity; chrome is gray-on-white-on-blue, accents are amber-yellow and orange, and the product imagery does the heavy lifting.

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- spec.json - DESIGN.md - link -
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- #anthropic - AI / ML Platform -

Anthropic

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An inspired interpretation of Anthropic's corporate-research brand language — the company surface (anthropic.com) sister to the Claude product, but tuned for research papers, policy posts, and hiring rather than for trying a chat product. The brand reads as a literary technology publisher: warm putty canvas, Tiempos serif at every display tier, narrow editorial column widths, a thin red-clay accent kept almost entirely in reserve.

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- #apple - Consumer / Lifestyle / Retail -

Apple

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A photography-first interface that turns marketing into a museum gallery.

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- spec.json - DESIGN.md - link -
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- #apple-music - Consumer / Lifestyle / Retail -

Apple Music

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An inspired interpretation of Apple Music's marketing design language — a light-canvas streaming service that pairs Apple's clean SF Pro typography with full-bleed album-cover-driven multi-color hero bands. The brand surface is a white canvas chrome with the album-cover artwork acting as the entire chromatic system — every page derives its color from the featured album/artist, making the brand a chameleon dressed in SF Pro.

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- spec.json - DESIGN.md - link -
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- #arc-browser - Developer Tools -

Arc Browser

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An inspired interpretation of The Browser Company's Arc brand language — the post-Chrome browser that treats the address bar as the enemy. The brand canvas is a soft warm off-white (#f5f3ed) with deep ink, or alternatively a watercolor-gradient hero band sweeping pastel coral, peach, and lavender across a hand-drawn marketing page. The voice is wide-eyed earnest tech-utopianism — sentence-case headlines, generous serif accents (Söhne or Inter for body, with proprietary curvilinear display nameplates), and animation that feels closer to children's illustration than browser-chrome. Arc is the brand where motion is the marketing.

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- spec.json - DESIGN.md - link -
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- #asana - Productivity / Collaboration -

Asana

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Asana's web presence is project-management-as-flow chrome — a coral-orange primary (#fc636b), gentle dot-pattern brand mark (referencing the three-dot 'Asana' icon), and illustration-driven heroes featuring teams in motion. The atmosphere is friendly productivity SaaS: warm, optimistic, and committed to 'work without the chaos.' Cards round at 8–16px and the chrome leans into approachable enterprise.

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- spec.json - DESIGN.md - link -
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- #audi - Automotive -

Audi

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Audi's web presence is German-engineering luxury — the Four Rings logo, a near-monochrome chrome with pure-white canvas and dark gray ink, and cinematic vehicle photography in muted automotive-grade lighting. The atmosphere is precision-luxury: every CTA, every section break, every photograph reads as 'designed by engineers, finished by designers.'

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- spec.json - DESIGN.md - link -
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- #bentley - Automotive -

Bentley

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Bentley's web presence is British luxury automotive — the winged 'B' wordmark, a near-monochrome dark chrome with a deep racing-green secondary accent, and editorial photography that treats the vehicle as a coachbuilt artifact rather than a transportation product. The atmosphere is heritage-bespoke; every page references handcrafted leather, marquetry, and 100+ years of British coachbuilding.

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- spec.json - DESIGN.md - link -
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- #binance - Fintech / Crypto -

Binance

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A confident financial-platform interface anchored on a deep near-black canvas, where Binance's iconic yellow (#FCD535) carries every primary CTA, brand accent, and value-claim moment.

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- #bloomberg - Editorial / Media -

Bloomberg

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Financial-news institution using its terminal heritage as design language — black canvas, orange voltage, ticker scroll at every page, hairline-rule rhythm, tabular figures everywhere numbers appear.

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- spec.json - DESIGN.md - link -
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- #bmw - Automotive -

BMW

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BMW's corporate site — distinct from BMW M's motorsport-bombastic variant, this is a measured and settled corporate-automotive interface.

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- spec.json - DESIGN.md - link -
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- #bmw-m - Automotive -

BMW M

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A motorsport-engineering interface anchored on a near-black canvas with white BMW Type Next Latin display headlines in confident UPPERCASE.

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- spec.json - DESIGN.md - link -
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- #booking-com - Travel / Hospitality -

Booking.com

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An inspired interpretation of Booking.com — the Amsterdam-based travel-booking behemoth whose brand discipline is the opposite of luxury hospitality: dense, data-rich, urgency-driven, and unapologetically transactional. Canvas is pure white with crisp ink. The signature is the Booking.com blue (#003580) used at full saturation on the navigation, on the primary 'Search' CTA, and on the wordmark — a deep cobalt that reads as 'trustworthy financial institution' more than 'travel'. Type runs a precise grotesk (Booking Sans / Roboto / system grotesk) at modest scale. The brand voltage is the urgency overlay — '5 people are looking at this property', 'Last booked 2 hours ago' — micro-copy interventions that turn search results into a high-pressure auction floor.

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- #bose - Consumer / Lifestyle / Retail -

Bose

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Bose's web presence is the premium-audio brand's editorial chrome — black-and-white duotone product photography on a clean white canvas, restrained typography (Inter or Helvetica Neue), and a single accent color used only on CTAs. The atmosphere is hi-fi audio reverence; cards lean rectilinear, motion is restrained, and the product photography (headphones, speakers, soundbars) carries the prestige.

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- #brave - Developer Tools -

Brave

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Brave's web presence is privacy-first browser chrome — Brave Orange (#fb542b) as the brand voltage on CTAs, dark canvas (#13141b) on the marketing surface, and a typography stack that pairs a modern display sans with a clean body. The atmosphere is privacy-as-feature: confident, slightly contrarian, and built around the message 'the web you deserve, without the surveillance.'

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- #brex - Fintech / Crypto -

Brex

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Dark-editorial financial magazine for ambitious mid-market — coffee-black canvas, amber voltage, serif display at magazine-cover scale, surface-flip rhythm between coffee bands and cream pricing.

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- #bugatti - Automotive -

Bugatti

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An austere luxury-automotive interface that uses near-pure black canvas, white uppercase letterspaced display, and full-bleed automotive photography as the only voltage.

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- #cal - Productivity / Collaboration -

Cal.com

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A clean, calendar-software-first interface anchored on white canvas with black primary CTAs and custom Cal Sans display typography.

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- #claude - AI / ML Platform -

Claude

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A warm-canvas editorial interface for Anthropic's Claude product.

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- #clay - Editorial / Media -

Clay

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A vibrant claymation-meets-data interface for Clay.com (GTM data-orchestration platform).

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- #clickhouse - Developer Tools -

ClickHouse

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A high-performance database interface anchored on near-pure black canvas with electric yellow as the brand voltage.

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- #cloudflare - Developer Tools -

Cloudflare

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An inspired interpretation of Cloudflare's brand language — the global-network infrastructure brand that operationalizes a single chromatic asset: orange. The orange (#f48120) is reserved with monastic discipline for the brand mark and primary CTAs. Canvas is white-to-near-white with cool blue-gray ink. Type runs a precise grotesk (Inter / IBM Plex / proprietary Sans) and the brand projects 'global, infrastructural, calm' — never SaaS-marketing kinetic. The mark — a stylized orange cloud — appears on the navigation; the rest of the page reads as quiet, dense, technical documentation.

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- spec.json - DESIGN.md - link -
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- #cohere - AI / ML Platform -

Cohere

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- -

Cohere's 2026 web system is a controlled enterprise AI interface built from stark white editorial space, deep green-black product bands, soft mineral surfaces, rounded media cards, and a distinctive type split between monospaced-feeling display headlines and precise Unica77 UI text.

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- spec.json - DESIGN.md - link -
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- #coinbase - Fintech / Crypto -

Coinbase

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- -

An institutional-grade crypto exchange whose marketing surfaces read like a quietly-confident financial-services brand.

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- spec.json - DESIGN.md - link -
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- - -
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- #composio - Developer Tools -

Composio

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- -

A developer-tools brand for AI-agent tool integration whose marketing surfaces lean into a dark, technical aesthetic with a single deep-electric-blue voltage (#0007cd).

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- spec.json - DESIGN.md - link -
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- #cursor - Developer Tools -

Cursor

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- -

An AI-first code editor whose marketing site reads like a quietly-confident developer-tools brand with a warm-cream editorial canvas (#f7f7f4) instead of the typical dark IDE atmosphere.

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- spec.json - DESIGN.md - link -
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- #datadog - Developer Tools -

Datadog

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- -

Institutional observability brand with personality — purple-on-white with a serif display, anchored by the Bark dog-mascot illustration system.

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- spec.json - DESIGN.md - link -
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- #dbt - Developer Tools -

dbt Labs

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- -

An inspired interpretation of dbt Labs' design language — the analytics-engineering platform built on a deep navy-violet (#262a38) canvas, a signature dbt-orange (#ff694a) accent, and a hex-pixel motif (the 'dbt cube' / pixel-cluster mark) recurring across the surface. The brand reads as 'analytics engineering' — half data-warehouse-serious, half developer-tool-friendly, with the SQL editor as a recurring hero device.

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- spec.json - DESIGN.md - link -
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- #dezeen - Editorial / Media -

Dezeen

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- -

An inspired interpretation of Dezeen's design language — the world's most-read architecture-and-design magazine built on a strict monochrome white-and-near-black canvas, a custom serif (Dezeen Display) for every headline, and a 'photograph IS the page' approach where 4-column masonry grids of beautifully-shot architecture imagery carry the entire visual weight. The brand reads as 'design publication of record' — confident, image-forward, anti-chrome.

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- spec.json - DESIGN.md - link -
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- #disney-plus - Streaming / Media -

Disney+

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- -

An inspired interpretation of Disney+ — the family streaming service whose visual language is the deep-galaxy royal blue (#01153e) that distinguishes it from Netflix's cinema-black and HBO Max's neon-purple. Canvas is a deep navy with subtle starfield gradient. The signature is the Disney+ wordmark — Disney's iconic 'Walt Disney' Waltograph script joined to a sans-serif '+' lockup. Type runs a precise grotesk (Inter / Source Sans / proprietary Disney face) for the chrome, but every poster-art tile uses the original title-treatment fonts from Star Wars, Marvel, Pixar, etc. — the cross-franchise typography zoo IS the brand's promise. The hero is a brand-tier row organizing content by franchise — Disney / Pixar / Marvel / Star Wars / National Geographic — never by genre.

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- spec.json - DESIGN.md - link -
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- #duckduckgo - Developer Tools -

DuckDuckGo

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- -

DuckDuckGo's web presence is privacy-search-with-personality chrome — DuckDuckGo Red-Orange (#de5833) as the brand voltage, the duck mascot Dax as the brand character, and a friendly humanist chrome that softens the privacy positioning. The atmosphere is approachable privacy: the brand wants to be the friendly alternative to Google, not the contrarian alternative to Brave.

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- spec.json - DESIGN.md - link -
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- #ea - Consumer / Lifestyle / Retail -

EA

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- -

EA's web presence is sports-and-blockbuster-gaming chrome — the EA wordmark in heavy display sans, a dark canvas (#0d0d0d) on franchise pages, and a master brand chrome that connects FIFA (now EA Sports FC), Madden, Battlefield, The Sims, and Apex Legends. The atmosphere is sports-broadcast cinematic where the IP demands and corporate-master-brand where the chrome takes over.

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- spec.json - DESIGN.md - link -
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- - -
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- #elevenlabs - AI / ML Platform -

ElevenLabs

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- -

A voice-AI brand whose marketing surfaces read like a quietly editorial print magazine.

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- spec.json - DESIGN.md - link -
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- #emirates - Travel / Hospitality -

Emirates

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- -

An inspired interpretation of Emirates — the Dubai-headquartered flag carrier whose brand identity is the cinematic A380 first-class experience translated into web language. Canvas is warm cream or deep desert-night-black. The signature palette is the Emirates red (#d71920) and gold trim. Type runs a custom Arabic-Latin co-typesetting system — the brand often shows Arabic naskh and Latin grotesk side-by-side at matched scale, a quiet declaration of the UAE origin. Photography is cinematic luxury aviation: A380 cabin interiors with onboard showers, first-class suites with sliding doors, business-class bars at 40,000 feet. The brand voice is 'fly better than business class' — gold trim, marble lavatories, chef-prepared meals — never apologetic about the luxury.

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- spec.json - DESIGN.md - link -
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- #expo - Developer Tools -

Expo

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- -

A React Native developer-platform whose marketing site reads like a quietly-confident infrastructure brand.

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- spec.json - DESIGN.md - link -
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- - -
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- #fenty-beauty - Consumer / Lifestyle / Retail -

Fenty Beauty

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- -

An inspired interpretation of Fenty Beauty's brand language — Rihanna's inclusive beauty empire that redrew the cosmetics industry around radical shade range. Canvas is pure black (#0a0a0a) or near-black with deep saturated ink. Type runs a precise grotesk display (Söhne / Inter / proprietary all-caps face) often paired with an italic serif accent. The voice is luxurious, club-night, unapologetically Black and unapologetically Caribbean — gold filigree on black, full-bleed product hero shots, model casting that spans every Pantone of human skin. The signature 50-shade Pro Filt'r foundation grid IS the brand — it appears on hero, product, and editorial pages as a strip of swatches that demonstrates the brand's core promise visually before any copy lands.

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- spec.json - DESIGN.md - link -
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- #ferrari - Automotive -

Ferrari

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- -

A luxury-automotive brand whose marketing surfaces read as cinematic editorial.

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- spec.json - DESIGN.md - link -
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- - -
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- #figma - Productivity / Collaboration -

Figma

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- -

A confident black-and-white editorial frame interrupted by oversized, hand-cut pastel color blocks.

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- spec.json - DESIGN.md - link -
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- #fivetran - Developer Tools -

Fivetran

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- -

An inspired interpretation of Fivetran's design language — a managed-data-pipeline brand built on a clean white canvas with a signature deep cobalt (#0073e6) and a dense, technical surface that hosts dozens of source-connector logos on every page. The brand reads as 'mature data platform' — enterprise-clean, logo-density forward, slightly serif-tinged with Tiempos Headline for moments of voice.

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- spec.json - DESIGN.md - link -
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- #fly-io - Developer Tools -

Fly.io

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- -

An inspired interpretation of Fly.io's design language — an edge-compute platform with a deeply contrarian brand voice (engineering blog as marketing, irreverent copy, dense long-form posts) wrapped in a hot-pink-to-violet gradient identity, monospace-rich chrome, and a near-black canvas. The brand reads like an old-internet engineering newsletter that happens to sell global infrastructure.

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- spec.json - DESIGN.md - link -
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- #four-seasons - Travel / Hospitality -

Four Seasons

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- -

An inspired interpretation of Four Seasons Hotels and Resorts — the Canadian-founded ultra-luxury hospitality brand that built its empire on service consistency across 100+ properties worldwide. Canvas is warm parchment-ivory (#f7f3eb) or velvet-black for evening-mode landing pages. Type runs a refined serif (Trajan / Cormorant / a custom display serif) at editorial scale — never sans-serif at hero. Photography is travel-magazine grade: cinematic full-bleed property shots with golden-hour light, infinity pools photographed from drone height, lobby chandeliers in candlelit warmth. The voice is whispered luxury — never loud, never claiming, always implying. The wordmark sits at the top in a serif lockup that resembles a luxury watch dial more than a hotel sign.

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- spec.json - DESIGN.md - link -
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- #framer - Developer Tools -

Framer

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- -

A confident dark-canvas builder marketing site that treats the page like a working artboard — pure black surfaces, white display type set in GT Walsheim Medium with aggressive negative tracking, and a single confident blue (#0099ff) reserved for hyperlinks and selection states.

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- spec.json - DESIGN.md - link -
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- #github - Developer Tools -

GitHub

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- -

An inspired interpretation of GitHub's marketing language — the developer-platform brand that owns the social experience of writing software. Light mode is a near-white canvas with deep navy ink; dark mode is the dominant in-product surface (#0d1117) the engineers actually live in. The signature is the Octocat universe — a hand-illustrated cat-octopus cast joining seven-shade green contribution heatmaps, GitHub Sans display, and a typographic discipline borrowed from technical manuals, not SaaS marketing.

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- spec.json - DESIGN.md - link -
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- #glossier - Consumer / Lifestyle / Retail -

Glossier

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- -

Matured millennial-pink editorial — pink is now a surface band, not a button. Magazine-weight serif display, true-black CTAs, navigation set in all-caps tight tracking.

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- spec.json - DESIGN.md - link -
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- #google - Developer Tools -

Google

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- -

Google's web presence is the canonical Material You / Material 3 expression — paper-bright canvas, friendly geometric type (Google Sans + Roboto), saturated four-color brand palette, generous radii (16–28px), and a card-based layout grammar that treats every product feature as a small bento tile. The atmosphere is approachable, optimistic, and consumer-grade — even on enterprise Cloud pages.

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- spec.json - DESIGN.md - link -
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- #hashicorp - Developer Tools -

HashiCorp

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- -

An enterprise-infrastructure marketing canvas built around a near-black ground (#000000) and a system of per-product accent colors — Terraform purple, Vault yellow, Consul pink, Waypoint cyan, Vagrant blue — that act as identity tokens rather than decorative palette.

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- spec.json - DESIGN.md - link -
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- #herman-miller - Consumer / Lifestyle / Retail -

Herman Miller

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- -

An inspired interpretation of Herman Miller's brand language — the American modernist furniture house responsible for the Eames Lounge, the Aeron chair, and a century of design-museum-permanent-collection objects. Canvas is warm gallery-white (#faf9f6) or a deep editorial near-black for hero immersion. Type runs a thoughtful serif (Söhne Mono or proprietary modernist serif) at editorial scale paired with a precise grotesk for body. Photography is fine-art product-as-sculpture — single chair in a vast gallery space, side-light, no styling props. The voice is museum-curator: object name, year, designer, materials — written as exhibition wall labels, not as e-commerce descriptions.

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- spec.json - DESIGN.md - link -
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- #hims-hers - Consumer / Lifestyle / Retail -

Hims & Hers

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- -

Modern wellness that intentionally rejects clinical-blue medical defaults — warm-bone canvas, sage/tan sub-brand accents, considered consumer-wellness aesthetic.

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- spec.json - DESIGN.md - link -
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- #honeycomb - Developer Tools -

Honeycomb

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- -

Distributed-systems observability rendered as a smart magazine — honey-amber on midnight teal, literal hexagon dividers, technical-but-warm voice.

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- spec.json - DESIGN.md - link -
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- #hp - Consumer / Lifestyle / Retail -

HP

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- -

An inspired interpretation of HP's design language — a white-paper enterprise-consumer system anchored by HP Electric Blue (#024ad8) as the lone signal CTA, near-black ink (#1a1a1a) for headlines, geometric Forma-DJR sans throughout, and angular blue-chevron decorations that nod to the HP wordmark's slashes.

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- spec.json - DESIGN.md - link -
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- #huggingface - AI / ML Platform -

Hugging Face

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- -

Hugging Face's web presence is the open-source AI community's home — yellow hug emoji as the brand mark, a clean white canvas, model card listings as the dominant content unit, and a developer-documentation aesthetic. The atmosphere is open-community AI: welcoming to researchers, model authors, and developers, with a tone that reads as 'GitHub for ML' rather than enterprise SaaS.

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- spec.json - DESIGN.md - link -
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- #ibm - Developer Tools -

IBM

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- -

An enterprise-marketing canvas faithful to Carbon Design System: white surfaces, charcoal type, IBM Blue (#0f62fe) as the single confident accent, and a deliberately flat-square aesthetic where corners stay at 0–4px.

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- spec.json - DESIGN.md - link -
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- #ikea - Consumer / Lifestyle / Retail -

IKEA

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- -

An inspired interpretation of IKEA's brand language — the Swedish flat-pack democracy. Canvas is pure white. The brand-asset trinity is the IKEA blue (#0058a3), the IKEA yellow (#ffdb00), and the wordmark lockup of the two used together at full saturation on the navigation. Type runs a custom geometric grotesk (Noto IKEA / Verdana) at a precise scale. Photography is room-staging — fully furnished rooms with real-looking models, kids, dogs, breakfast tables — never product-on-white. The voice is 'practical, democratic, Swedish' — a meatball-and-flatpack-instructions sensibility wrapped in clean editorial scale.

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- spec.json - DESIGN.md - link -
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- #instagram - Consumer / Lifestyle / Retail -

Instagram

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- -

An inspired interpretation of Instagram's design language — the photo-and-video social platform built on a white canvas (light mode) or near-black canvas (dark mode), with a signature multi-stop gradient (yellow → orange → red → magenta → purple) reserved for the brand mark and Stories ring, and a strict grotesk sans (Instagram Sans / Helvetica Neue) carrying every text tier. The brand reads as 'content is everything; chrome is invisible' — the photo grid IS the brand.

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- spec.json - DESIGN.md - link -
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- #intercom - Productivity / Collaboration -

Intercom

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- -

An editorial customer-service marketing canvas built around a soft cream-white ground, charcoal type set in Saans (Intercom's proprietary geometric sans), and a single confident Fin Orange (#ff5600) reserved for the Fin AI brand.

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- spec.json - DESIGN.md - link -
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- #jbl - Consumer / Lifestyle / Retail -

JBL

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- -

JBL's web presence is the bright-lifestyle-audio brand — JBL Orange (#ff5500) as the chromatic voltage, action-lifestyle photography (parties, outdoor adventures, gym workouts), and a dark canvas (#0d0d0d) anchoring the chrome. The atmosphere is high-energy consumer audio: youth-oriented, color-rich, and unapologetically loud where Bose and Sonos are quiet.

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- spec.json - DESIGN.md - link -
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- #kraken - Fintech / Crypto -

Kraken

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- -

Kraken's website is a clean, trustworthy crypto exchange that uses purple as its commanding brand color.

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- spec.json - DESIGN.md - link -
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- #lamborghini - Automotive -

Lamborghini

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- -

Lamborghini's website is a cathedral of darkness — a digital stage where jet-black surfaces stretch infinitely and every element emerges from the void like a machine under a spotlight.

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- spec.json - DESIGN.md - link -
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- #levis - Consumer / Lifestyle / Retail -

Levi's

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- -

Levi's web presence is American-heritage denim chrome — the red tab as the chromatic anchor, monochrome editorial photography (often black-and-white denim shots), and a layout grammar that treats every jeans-fit page as a fit guide with measurements rather than a fashion lookbook. The atmosphere is workwear-heritage modern; the 501 is a heritage product, and the chrome respects that.

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- spec.json - DESIGN.md - link -
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- #linear.app - Productivity / Collaboration -

Linear

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- -

A near-black product-focused marketing canvas built around #010102 (the deepest dark surface of any tool in this collection), light gray text (#f7f8f8), and the signature Linear lavender-blue (#5e6ad2) used as the single chromatic accent.

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- spec.json - DESIGN.md - link -
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- #linkedin - Consumer / Lifestyle / Retail -

LinkedIn

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- -

LinkedIn's web interface is the professional network's chrome — LinkedIn Blue (#0a66c2) as the chromatic anchor, a clean off-white canvas (#f3f2ef), and a humanist sans (LinkedIn's Brand Sans / Source Sans Pro) running the chrome. The atmosphere is white-collar formal, card-based, and feed-dominant; the design reads as 'newspaper of work' rather than social-media-playful.

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- spec.json - DESIGN.md - link -
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- #loom - Productivity / Collaboration -

Loom

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- -

Loom's web presence is async-video-for-work chrome — a deep purple primary (#625df5) as the brand voltage, soft rounded cards, illustration-driven heroes featuring people in the act of recording a video. The atmosphere is friendly workplace SaaS: approachable, animated, and confident that async video is the future of work communication.

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- spec.json - DESIGN.md - link -
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- #lovable - Developer Tools -

Lovable

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- -

Lovable's website radiates warmth through restraint.

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- spec.json - DESIGN.md - link -
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- #mailchimp - Productivity / Collaboration -

Mailchimp

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- -

Mailchimp's web presence is the marketing-platform-with-personality chrome — Cavendish Yellow (#ffe01b) as the brand voltage, the chimp mascot Freddie as the brand character, hand-illustrated quirky heroes, and a typography stack that pairs a serif display with a clean sans body. The atmosphere is warm, weird, and deliberately small-business-friendly.

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- spec.json - DESIGN.md - link -
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- #mastercard - Fintech / Crypto -

Mastercard

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- -

Mastercard's experience reads like a warm, editorial magazine built from soft stone and signal orange.

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- spec.json - DESIGN.md - link -
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- #mclaren - Automotive -

McLaren

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- -

McLaren's web presence is hypercar-racing chrome — McLaren Orange (#ff8000) as the chromatic anchor, dark cinematic photography (often in racing-circuit lighting), and a layout grammar that reads as Formula 1 mission control. The atmosphere is racing-engineered: every page references aerodynamic precision, lap times, and engineering provenance.

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- spec.json - DESIGN.md - link -
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- #mercedes-benz - Automotive -

Mercedes-Benz

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- -

An inspired interpretation of Mercedes-Benz — the Stuttgart luxury automotive house whose brand language has been the engineering-to-art template for a century. Canvas is graphite-cool dark (#1a1d24) on flagship product pages, or warm cream-white on heritage and editorial pages. Type runs Corporate A — the proprietary Mercedes grotesk — at every text tier, paired with the iconic three-pointed-star mark. The signature is the three-pointed star itself, treated with absolute discipline: chrome silver on dark backgrounds, ink on light. Photography is studio-grade luxury: S-Class sedans photographed under dramatic side-light, EQ-line electric vehicles in architectural settings, AMG performance cars on race tracks. The voice is 'Das Beste oder nichts' — the best or nothing — translated as quiet engineering confidence, never bombast.

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- spec.json - DESIGN.md - link -
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- #mercury - Fintech / Crypto -

Mercury

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- -

Startup-bank-for-startups — restrained monochrome canvas, serif-display voltage, tabular-figure mono numerals, warm-muted bronze accent appearing only at brand-mark moments.

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- spec.json - DESIGN.md - link -
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- #meta - Consumer / Lifestyle / Retail -

Meta

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- -

Meta's design system spans hardware commerce (Quest VR, Ray-Ban Meta AI glasses) and brand surfaces with a confident product-merchandising voice.

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- spec.json - DESIGN.md - link -
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- #microsoft - Developer Tools -

Microsoft

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- -

Microsoft's web presence is institutional-scale and product-broad — the brand's design language Fluent 2 ladders from consumer Windows to enterprise Azure to Surface hardware to Office, and the site stitches them together with a near-monochrome chrome and a single chromatic accent — Microsoft Blue (#0067c0) — used scarcely on CTAs and on the four-square logo. The atmosphere is utilitarian and corporate without feeling cold; product imagery (Surface devices, screen renders of Windows, Teams collaboration shots) carries the warmth.

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- spec.json - DESIGN.md - link -
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- #minimax - AI / ML Platform -

MiniMax

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- -

MiniMax presents itself as a premium AI infrastructure brand through a striking duality — bold black-pill CTAs and stark white canvas for marketing, paired with vibrant gradient product cards (orange-red, magenta-pink, purple, blue) that turn each model release into a distinctive visual identity.

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- spec.json - DESIGN.md - link -
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- #mintlify - Developer Tools -

Mintlify

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- -

Mintlify presents documentation infrastructure with a dual-mode aesthetic — atmospheric sky-gradient marketing heroes (cloud illustration backdrops, soft cream-to-blue washes) paired with dense developer-grade documentation surfaces.

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- spec.json - DESIGN.md - link -
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- #miro - Productivity / Collaboration -

Miro

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- -

Miro presents itself as the AI-powered visual workspace through a confident, almost playful brand voice — anchored by its signature canary yellow wordmark over white canvas, broken open by colorful pastel feature tints (rose, teal, coral, orange, mint) that echo the actual sticky-note color palette used on the live whiteboard.

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- spec.json - DESIGN.md - link -
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- #mistral.ai - AI / ML Platform -

Mistral AI

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- -

Mistral AI brands itself with a singular signature — atmospheric sunset gradients (mustard, orange, deep red) layered over photography of mountains, plus a horizontal "sunset stripe" bar that closes every page.

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- spec.json - DESIGN.md - link -
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- #mongodb - Developer Tools -

MongoDB

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- -

MongoDB carries a strong dual-mode visual identity — dark deep-teal hero bands with bright MongoDB green CTAs paired with stark white documentation surfaces.

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- spec.json - DESIGN.md - link -
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- #monzo - Fintech / Crypto -

Monzo

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- -

Consumer-fintech with maximum personality — hot coral card is the brand, pill-shape CTAs, illustrated objects with simplified geometry. Children's-book illustration system reading as a neobank.

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- spec.json - DESIGN.md - link -
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- #muji - Consumer / Lifestyle / Retail -

MUJI

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- -

An inspired interpretation of MUJI (無印良品 — 'no-brand quality goods') — the Japanese lifestyle retailer whose brand strategy is to have no brand. Canvas is pure white or kraft-paper beige (#f0ebe1). Type runs a mixed Japanese-Latin grotesk (Yu Gothic / Hiragino Kaku Gothic / Helvetica Neue) at modest 11–13px sizes — never large display. Product photography is shot on shadowless white with the object floating in negative space. Color is reserved for the deep MUJI red (#8a1538) used only on the brand mark and on price tags. Everything else is the kraft-and-cotton palette of un-bleached materials. The page reads as a department-store catalog from 1985 — quiet, dense, anti-marketing.

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- spec.json - DESIGN.md - link -
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- #n26 - Fintech / Crypto -

N26

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- -

An inspired interpretation of N26's design language — the European mobile-bank brand built on a strict white-on-white canvas with a serif display (Tiempos Headline) for marketing voice, a single signature N26 cyan-mint (#2DCFA5) accent, and a relentless minimalism: real product screenshots (the floating credit card on a colored gradient background) carry the entire visual identity. The brand reads as 'European premium neobank' — Berlin-clean, slightly architectural.

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- spec.json - DESIGN.md - link -
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- #neon - Developer Tools -

Neon

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- -

A serverless Postgres console rendered as a quietly-confident developer-tools brand — graphite canvas, electric green voltage, branching diagrams as the real hero.

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- spec.json - DESIGN.md - link -
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- #netflix - Streaming / Media -

Netflix

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- -

An inspired interpretation of Netflix — the streaming entertainment brand whose visual language is the world's most-copied dark-canvas content grid. Canvas is true cinema-black (#141414) — the deepest dark in the streaming category. The signature is Netflix red (#e50914) — a pure red used only on the wordmark, on the play-button overlay, and on the primary 'Sign In' / 'Sign Up' CTA. Type runs the custom Netflix Sans (a precise grotesk with subtle aperture tweaks) at modest scale — the brand voice is 'content is the hero, chrome stays invisible'. The signature visual is the horizontal-scroll row of poster-art tiles: each row is a curated category ('Continue Watching', 'Top 10', 'Because you watched...') of poster-art rectangles, the brand-defining UI pattern in the streaming category.

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- spec.json - DESIGN.md - link -
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- #nike - Consumer / Lifestyle / Retail -

Nike

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- -

A photography-first commerce system built on extreme typographic contrast — towering uppercase Futura display lockups burned into editorial campaign imagery, sitting above a dense, neutral, near-monochrome retail chrome of pill-shaped black CTAs, gray search and tag pills, and tight 8px-grid product cards.

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- spec.json - DESIGN.md - link -
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- #nintendo - Consumer / Lifestyle / Retail -

Nintendo

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- -

Nintendo's web presence is the brand's signature 'family-friendly fun' translated into a card-rich UI — Nintendo Red (#e60012) as the chromatic anchor on the wordmark and CTAs, generous radii (16–24px) on character cards, and unmistakable IP-driven hero illustrations (Mario, Zelda, Pokemon) carrying the marketing weight. The atmosphere is playful, character-led, and unapologetically colorful where the IP demands it.

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- spec.json - DESIGN.md - link -
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- #notion - Productivity / Collaboration -

Notion

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- -

Notion presents itself as the all-in-one workspace through a confident, illustration-rich brand voice — anchored by a deep navy hero band decorated with brand-colored sticky-note dots and mesh wire illustrations, a signature purple pill primary CTA, and a rich palette of pastel-tinted feature cards that echo the colorful database properties of the live product.

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- spec.json - DESIGN.md - link -
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- #nvidia - Editorial / Media -

NVIDIA

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- -

An engineering-grade marketing system organized around two surface modes — a deep black canvas for hero and footer chapters and a flat paper-white canvas for body content — connected by a single, almost violently saturated NVIDIA Green accent that carries every CTA, every active tab, and the small decorative corner squares that mark out cards.

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- spec.json - DESIGN.md - link -
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- #obsidian - Productivity / Collaboration -

Obsidian

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- -

An inspired interpretation of Obsidian's brand language — the personal-knowledge-management tool that worships the knowledge graph. Canvas is a deep slate-purple-black (#202020) in dark mode (the default), or a parchment-cream (#f6f3ee) in light. The signature visual element is the force-directed graph of nodes — purple glowing dots connected by faint white edges — that appears as both the product's centerpiece and the marketing hero. Type is a precise grotesk (Inter / Söhne) with markdown-derived hierarchy: H1 / H2 / H3 styled to mirror raw markdown rendering. The brand reads as 'private, infinite, sovereign' — the antithesis of cloud-collab.

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- spec.json - DESIGN.md - link -
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- #ollama - Developer Tools -

Ollama

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- -

An almost defiantly minimal documentation-first system that treats the home page like a Markdown README — paper-white canvas, 36px center-aligned heading, a single black pill CTA, an inline terminal install snippet, and a hand-drawn llama mascot as the only ornamental element.

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- spec.json - DESIGN.md - link -
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- #openai - AI / ML Platform -

OpenAI

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An inspired interpretation of OpenAI's design language — the AI-platform-of-record built on near-pure black canvas at top, switching to white below the fold, anchored by the Söhne family at every tier, with a tightly disciplined grid and almost no decorative chrome. The brand reads as the calm, established institution in the AI category: no gradient, no illustration, no emoji — just type, photography, and product chrome.

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- spec.json - DESIGN.md - link -
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- #opencode.ai - Developer Tools -

OpenCode

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- -

A terminal-native marketing system rendered entirely in Berkeley Mono — every word on the page, from the hero headline down to the footer fine print, is monospaced.

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- spec.json - DESIGN.md - link -
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- #oracle - Developer Tools -

Oracle

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- -

Oracle's web presence is corporate-database institutional — bright red (#c74634) as the signature chromatic asset on the wordmark and primary CTAs, a clean white canvas, and a Roboto-family humanist sans across the chrome. The atmosphere is enterprise-formal — minimal whimsy, dense product taxonomy (database, cloud, ERP, HCM), and a layout grammar engineered for IT decision-makers rather than end-users.

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- spec.json - DESIGN.md - link -
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- #patagonia - Consumer / Lifestyle / Retail -

Patagonia

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- -

A heritage outdoor brand whose digital surface reads like a paper field journal that learned to do e-commerce — sand-cream canvas, alpine red accents, serif display, refusal of digital-marketing tropes.

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- spec.json - DESIGN.md - link -
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- #perplexity - AI / ML Platform -

Perplexity

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An inspired interpretation of Perplexity's design language — an answer-engine brand built on a near-black graphite canvas with a signature peacock-teal (#20B8CD) as the single accent, a tight FK Grotesk display family, and a search field that IS the hero. The brand reads as a technical answer engine, not a chat product: dense, sourced, slightly serious, with the source-cite ribbon as a recurring visual.

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- spec.json - DESIGN.md - link -
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- #pinterest - Consumer / Lifestyle / Retail -

Pinterest

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A photography-first discovery system organized around the Pinterest Red CTA, the masonry pin grid, and a soft warm-cream chrome that gets out of the imagery's way.

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- spec.json - DESIGN.md - link -
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- #pitchfork - Editorial / Media -

Pitchfork

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- -

Raw, loud, bold black-on-white music criticism. The 0.0-10.0 score numeral at 96-160px is the brand. Heavy industrial sans display against serif body. 90s zine made the journey to the web without losing edge.

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- spec.json - DESIGN.md - link -
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- #plaid - Fintech / Crypto -

Plaid

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- -

Developer-fintech brand balancing institutional credibility with a single moment of warmth — cobalt-on-white, geometric sans, Benjamin Franklin mascot, holographic gradient strip at hero only.

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- spec.json - DESIGN.md - link -
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- #playstation - Consumer / Lifestyle / Retail -

PlayStation

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- -

A three-surface marketing system organized around alternating black, white, and PlayStation Blue chapters that scroll past the viewer like a console launch trailer.

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- spec.json - DESIGN.md - link -
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- #porsche - Automotive -

Porsche

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- -

An inspired interpretation of Porsche's brand language — the Stuttgart sports-car house whose visual discipline is the opposite of every other German luxury automaker. Canvas is pure white or dark race-track-black. Type runs the proprietary Porsche Next typeface — a precise, modernist grotesk with subtle aperture variations — at every text tier. The signature is Porsche red (#d5001c) — historically reserved for the 911 GT badging, used scarcely on configurator highlights, on the wordmark in select moments, and on the iconic horse-and-shield crest. Photography is cinematic motorsport: cars at speed on Alpine roads, paddock close-ups of the 911 chassis, design-team studio portraits. The voice is engineering-first — every page reads like a Le Mans technical manual translated into web layout.

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- spec.json - DESIGN.md - link -
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- #posthog - Developer Tools -

PostHog

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- -

A playful developer-tools system rendered on a warm cream canvas with hand-drawn hedgehog mascots dotted across every page like marginalia in a sketchbook.

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- spec.json - DESIGN.md - link -
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- #puma - Consumer / Lifestyle / Retail -

Puma

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- -

Puma's web presence is sport-and-culture chrome — the leaping cat logo, a bright-energy chromatic identity (often paired with the seasonal Forever Faster red), and a layout grammar that puts athlete-and-celebrity collaborations as the hero. The atmosphere is youth-energy more than premium-restraint; Puma reads as faster, looser, and more culture-forward than Adidas or Nike.

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- spec.json - DESIGN.md - link -
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- #railway - Developer Tools -

Railway

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- -

An inspired interpretation of Railway's design language — an infrastructure-deployment brand built on a deep midnight-violet (#13111c) canvas, monospace-heavy chrome, glowing purple/lavender voltage at button moments, and a graph-of-services hero that mirrors the actual product (deployments arranged as a node graph). The brand reads as 'the magical version of cloud' — technical, but slightly playful.

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- spec.json - DESIGN.md - link -
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- #ramp - Fintech / Crypto -

Ramp

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- -

Modernist B2B fintech with editorial weight — white canvas, signal red voltage, geometric serif display at hero scale, dashboard mockup as the marketing artifact.

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- spec.json - DESIGN.md - link -
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- #raycast - Developer Tools -

Raycast

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- -

Raycast's marketing system reads like an extended product screenshot.

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- spec.json - DESIGN.md - link -
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- #reddit - Consumer / Lifestyle / Retail -

Reddit

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- -

Reddit's design is community-feed-dominant — orange (#ff4500) as the brand voltage on upvote, alien mascot Snoo as the brand character, dense list-style post feeds (or card-style depending on view mode), and a dark-mode-first chrome that signals 'this is where the internet talks to itself'. The atmosphere is community-first, message-board nostalgic, and unapologetically text-heavy.

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- spec.json - DESIGN.md - link -
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- #renault - Automotive -

Renault

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- -

Renault's web presence pairs the freshly-modernised Renault diamond (the 2021 flat-line rhombus mark) with a stark black-and-white canvas, a signature Sunlight Yellow accent, and the proprietary NouvelR display typeface.

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- spec.json - DESIGN.md - link -
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- #render - Developer Tools -

Render

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- -

A cloud-platform surface that intentionally rejects AWS-blue defaults — deep aubergine purple over warm cream, paced like a magazine spread.

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- spec.json - DESIGN.md - link -
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- #replicate - Developer Tools -

Replicate

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- -

Replicate's marketing surfaces pair the warm-cream developer-tools aesthetic of an indie ML playground with a confident hot-orange brand accent and a signature display typeface (rb-freigeist-neue) sized aggressively large at 72px+.

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- spec.json - DESIGN.md - link -
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- #resend - Developer Tools -

Resend

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- -

Resend's marketing surfaces sit on a near-pure black canvas with off-white text and a single signature color — the deep editorial-serif Domaine Display headline mark — that gives an otherwise utilitarian developer-tool brand its print-magazine confidence.

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- spec.json - DESIGN.md - link -
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- #retool - Developer Tools -

Retool

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- -

An inspired interpretation of Retool's design language — an internal-tool builder brand built on a warm cream canvas (#fbf6ea), GT Sectra serif at every display tier, and a signature signal-orange (#ff5d00) voltage. The brand reads as 'serious software for serious operators' — magazine-cover headlines, dashboard mockups as hero, generous use of real product screenshots.

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- spec.json - DESIGN.md - link -
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- #revolut - Fintech / Crypto -

Revolut

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- -

Revolut's marketing surfaces pair a stark black canvas with the brand's cobalt-violet (#494fdf) and a wide accent palette of deep, fully-saturated product colours — teal, light-blue, deep pink, light-green, warning orange.

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- spec.json - DESIGN.md - link -
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- #robinhood - Fintech / Crypto -

Robinhood

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- -

An inspired interpretation of Robinhood's design language — the retail-investing brand built on a near-black canvas (#0a0c0d) with a signature glow-green voltage (#00C805) reserved exclusively for market-up and primary CTAs, a strict Capsule sans family at every tier, and large tabular-figure mono numerals for portfolio values. The brand reads as 'serious trading platform for the millennial investor' — confident, dark-first, data-dense.

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- spec.json - DESIGN.md - link -
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- #rolls-royce - Automotive -

Rolls-Royce Motor Cars

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- -

An inspired interpretation of Rolls-Royce Motor Cars — the British ultra-luxury house at the apex of automotive prestige, where bespoke commissions average several million pounds and 'car' is the wrong word for the object on display. Canvas is bone-cream (#f5f1e9) or velvet-black (#0a0a0a) depending on whether the section showcases craft (cream) or product (black). Type runs a refined serif (Riviera Nights / custom Trajan-adjacent display serif) at editorial scale, paired with a precise grotesk body. The signature is the Spirit of Ecstasy hood ornament — the silver Eleanor Thornton sculpture rendered in delicate line art on every page. Photography is gallery-grade: hand-stitched leather close-ups, starlight-headliner-roof shots, marquetry inlay macro photography. The voice is 'effortless mastery' — never claims, never promotes, always implies.

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- spec.json - DESIGN.md - link -
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- #runwayml - AI / ML Platform -

Runway

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- -

An inspired interpretation of Runwai's design language — an editorial, gallery-grade marketing system for an AI creative-tools company.

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- spec.json - DESIGN.md - link -
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- #salesforce - Developer Tools -

Salesforce

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- -

Salesforce's marketing surface is the cloud-and-character brand — Cloud Blue (#00a1e0) as the chromatic anchor, the cast of cartoon characters (Astro, Codey, Cloudy) as illustrated heroes, and a friendly humanist sans (Salesforce Sans) running everything. The atmosphere is enterprise-but-approachable; the cartoon characters are deliberately disarming on an otherwise serious B2B CRM page.

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- spec.json - DESIGN.md - link -
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- #sanity - Developer Tools -

Sanity

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- -

An inspired interpretation of Saniti's design language — a dark-first, content-platform marketing system that pairs an oversized editorial display sans (waldenburgNormal) with IBM Plex Mono for technical eyebrows.

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- spec.json - DESIGN.md - link -
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- #sentry - Developer Tools -

Sentry

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- -

An inspired interpretation of Sentri's design language — a developer-tools brand built on a deep purple-violet midnight canvas, electric lime accents, and a slightly subversive illustrated personality.

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- spec.json - DESIGN.md - link -
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- #shopify - Consumer / Lifestyle / Retail -

Shopify

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- -

An inspired interpretation of Shopifi's design language — a cinematic commerce platform that runs two parallel design tracks.

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- spec.json - DESIGN.md - link -
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- #slack - Developer Tools -

Slack

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- -

An inspired interpretation of Slacc's design language — a workplace messaging brand built on a deep aubergine primary, with cream-lavender hero gradients, blue inline links, and pill CTAs.

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- spec.json - DESIGN.md - link -
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- #snap - Consumer / Lifestyle / Retail -

Snap

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- -

Snap's web presence is camera-first augmented-reality chrome — Snap Yellow (#fffc00) as the brand voltage, a clean white canvas, and a layout grammar that puts the camera (Snapchat the app, Spectacles the hardware, AR Lenses the product) at the center. The atmosphere is youthful camera-tech: every page sells the camera as the input device for AR, social, and creativity.

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- spec.json - DESIGN.md - link -
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- #snowflake - Developer Tools -

Snowflake

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- -

An inspired interpretation of Snowflake's design language — the data-cloud-platform-of-record brand built on a deep glacier-blue gradient (#29B5E8 → #11567f) and a serif display tier (Tiempos Headline) that lifts the surface out of the all-sans data-tool default. The brand reads as 'enterprise data cloud' — institutional, slightly editorial, with snowflake-pattern hex motifs and crystal-blue gradient bands as recurring chrome.

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- spec.json - DESIGN.md - link -
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- #sonos - Consumer / Lifestyle / Retail -

Sonos

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- -

Sonos's web presence is premium-home-audio editorial — black-and-white product photography, generous lifestyle imagery in muted earth tones, and a clean white chrome with a single dark CTA. The atmosphere is design-magazine considered: speakers placed in beautifully styled rooms (often Scandi-modern), with the chrome receding so the lifestyle moment can breathe.

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- spec.json - DESIGN.md - link -
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- #sourcegraph - Developer Tools -

Sourcegraph

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- -

Code-search and AI coding assistant rendered with the inside-of-a-compiler aesthetic — slate near-black, electric cyan-blue voltage, violet for Cody, half the homepage is real syntax-highlighted code.

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- spec.json - DESIGN.md - link -
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- #spacex - Automotive -

SpaceX

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- -

An inspired interpretation of Spasex's design language — a mission-oriented aerospace brand built on pure black canvas, full-bleed photographic and video heroes of rockets and Mars landscapes, and uppercase D-DIN display type set in tight vertical leading.

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- spec.json - DESIGN.md - link -
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- #spotify - Consumer / Lifestyle / Retail -

Spotify

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Spotify's web interface is a dark, immersive music player that wraps listeners in a near-black cocoon (#121212, #181818, #1f1f1f) where album art and content become the primary source of color.

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- spec.json - DESIGN.md - link -
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- #starbucks - Consumer / Lifestyle / Retail -

Starbucks

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Starbucks' design system is a warm, confident retail flagship wearing the green of their storefront apron across every surface.

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- spec.json - DESIGN.md - link -
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- #stripe - Fintech / Crypto -

Stripe

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- -

An inspired interpretation of Stripi's design language — a financial-infrastructure brand built on a deep navy ink, an electric indigo primary, and a recurring atmospheric gradient mesh that occupies the upper third of nearly every marketing page.

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- spec.json - DESIGN.md - link -
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- #substack - Editorial / Media -

Substack

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- -

Writer-first warmth — cream canvas, slab-serif Spectral display, signature orange Subscribe CTA, 17-18px reading-first body. Small-press literary magazine that grew up.

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- spec.json - DESIGN.md - link -
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- #supabase - Developer Tools -

Supabase

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- -

An inspired interpretation of Supabaze's design language — an open-source database platform built on a clean white-and-near-black system with a single signature emerald-green CTA, a custom humanist sans display tier, and dense product UI mockups composited above the hero.

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- spec.json - DESIGN.md - link -
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- #superhuman - Developer Tools -

Superhuman

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- -

An inspired interpretation of Superhumon's design language — a fast-email productivity brand split between an editorial dark hero (deep indigo navy with violet-sky atmospheric backdrop and a portrait subject) and a quiet white content body with off-warm-grey ink.

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- spec.json - DESIGN.md - link -
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- #tesla - Automotive -

Tesla

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- -

Tesla's website is an exercise in radical subtraction — a digital showroom where the product is everything and the interface is almost nothing.

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- spec.json - DESIGN.md - link -
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- #atlantic - Editorial / Media -

The Atlantic

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- -

American long-form literary editorial — paper-cream canvas, Domaine serif at 19px reading scale, Atlantic Red masthead voltage, drop-cap article openers, audio-narration as feature.

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- spec.json - DESIGN.md - link -
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- #economist - Editorial / Media -

The Economist

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- -

An inspired interpretation of The Economist's design language — the British weekly newspaper of record built on a signature 1.5cm red top bar (Economist Red #E3120B), a literary slab-serif (Milo Serif) for headlines, an elegant humanist sans (Officina Sans) for ledes and metadata, and a strict editorial discipline: byline removed (every article unsigned), section eyebrows in red caps, drop caps on feature opens. The brand reads as 200-year-old global authority.

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- spec.json - DESIGN.md - link -
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- #nytimes - Editorial / Media -

The New York Times

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- -

Canonical American newspaper online — Cheltenham masthead, Imperial body, Franklin Gothic bylines, hairline-grid rhythm, color used only as section accent and breaking-news red.

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- spec.json - DESIGN.md - link -
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- #theverge - Editorial / Media -

The Verge

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- -

The Verge's 2024 redesign feels like somebody wired a Condé Nast magazine to a chiptune soundboard.

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- spec.json - DESIGN.md - link -
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- #wsj - Editorial / Media -

The Wall Street Journal

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An inspired interpretation of The Wall Street Journal's design language — the American financial-newspaper of record built on a strict black-on-white broadsheet canvas, the Escrow display family (a sibling of the historic Cheltenham face the brand used pre-redesign), hedcut portraits (the dot-stippled portrait illustrations) as the brand's most-recognized graphic signature, and a 'C' market-data ticker at the masthead. The brand reads as 135-year-old American financial authority.

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- spec.json - DESIGN.md - link -
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- #tiktok - Consumer / Lifestyle / Retail -

TikTok

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- -

An inspired interpretation of TikTok's design language — the short-form-video platform built on a pure black canvas with a signature cyan-and-magenta chromatic-aberration (Aqua #25F4EE + Magenta #FE2C55) reserved for the brand mark and selected moments, a video-first vertical feed taking 100% of the viewport, and a strict 'content is the entire surface' approach where chrome floats over content. The brand reads as 'youthful, kinetic, slightly glitch-aesthetic.'

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- spec.json - DESIGN.md - link -
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- #together.ai - AI / ML Platform -

Together AI

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- -

An inspired interpretation of Together AI's design language — an AI infrastructure platform whose surface alternates between near-black hero bands (with a three-color orange-magenta-periwinkle gradient as the single piece of brand chrome) and bright white research / pricing / docs bands, knit together by a custom display sans and an uppercase mono eyebrow face.

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- spec.json - DESIGN.md - link -
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- #twilio - Developer Tools -

Twilio

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- -

Twilio's web presence is communication-API developer chrome — Twilio Red (#f22f46) as the chromatic anchor, white canvas with developer-documentation aesthetic, and code snippets as the dominant feature visualization. The atmosphere is API-first developer-friendly: every page shows the product as code-in-action, with curl snippets and language tabs (Node, Python, Go) as the hero treatment.

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- spec.json - DESIGN.md - link -
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- #twitch - Streaming / Media -

Twitch

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- -

An inspired interpretation of Twitch — Amazon's live-streaming platform built for gamers, vtubers, IRL streamers, and the parasocial chat economy. Canvas is deep purple-tinted black (#0e0e10) — distinguishably more purple than Netflix's true black or YouTube's pure black. The signature is Twitch purple (#9146ff) — used at full saturation on the wordmark, on every primary CTA, on the 'Following', 'Subscribe', and 'Cheer' buttons. Type runs Inter (Twitch transitioned from Roobert to Inter as the system face) at modest scale. The interface is dominated by the chat sidebar and the channel grid — every stream is rendered with the streamer's webcam in the corner of game footage, and the chat scrolls live with subscriber-only badges, emote spam, and channel-points redemptions.

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- spec.json - DESIGN.md - link -
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- #uber - Consumer / Lifestyle / Retail -

Uber

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- -

An inspired interpretation of Uber's design language — a transportation-and-delivery super-app brand whose web surface is a black-and-white duet, framed by a custom geometric display sans, accented by a single signature pill shape (radius 999px) on every interactive element, and decorated only by editorial 4:3 illustrations of riders, drivers, and city objects.

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- spec.json - DESIGN.md - link -
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- #ubisoft - Consumer / Lifestyle / Retail -

Ubisoft

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- -

Ubisoft's web presence is cinematic gaming-publisher chrome — dark canvas (#0e1318) with edge-to-edge game key art, the Ubisoft swirl logo as the brand mark, and cinematic-trailer-grade hero treatments. The atmosphere is action-blockbuster: each franchise (Assassin's Creed, Far Cry, Rainbow Six, The Division) brings its own dark-toned IP color treatment, with the Ubisoft chrome providing the connective tissue.

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- spec.json - DESIGN.md - link -
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- #uniqlo - Consumer / Lifestyle / Retail -

UNIQLO

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- -

An inspired interpretation of UNIQLO's brand language — the Japanese basics retailer founded on 'LifeWear' as a philosophy. Canvas is pure white. The signature is the UNIQLO red (#ff0000) used as a single chromatic asset on the wordmark, on price callouts, and on the rare hero CTA — a true #ff0000, not a brand-tinted variant. Type runs a dual Japanese-Latin system: Helvetica Neue Bold (Latin) and the proprietary UNIQLO Japanese face (Japanese), often locked side-by-side on the same page in a kana-and-latin co-typesetting that announces the brand's Tokyo origin. Photography is hyper-real flat-light fashion — models against pure white or against urban Tokyo backdrops — no styling theatrics, no cinematic grading.

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- spec.json - DESIGN.md - link -
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- #vercel - Developer Tools -

Vercel

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- -

An inspired interpretation of Vercel's design language — a developer-platform brand whose surface is a stark black-and-ink duet on near-white canvas, broken at hero scale by a multi-color mesh gradient (cyan / blue / magenta / amber) that acts as the entire decorative system, paired with a custom geometric sans for headlines and a monospaced caption face for technical labels.

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- spec.json - DESIGN.md - link -
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- #vodafone - Editorial / Media -

Vodafone

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- -

An inspired interpretation of Vodafone's design language — a telecom super-brand whose web surface alternates between editorial photography hero bands with massive uppercase display headlines and clean white content bands, anchored by the company's signature scarlet red CTA and the proprietary Vodafone display sans set at impossibly heavy 800 weight.

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- spec.json - DESIGN.md - link -
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- #voltagent - AI / ML Platform -

VoltAgent

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- -

An inspired interpretation of Voltagent's design language — a developer-focused AI agent engineering platform whose surface is an unrelenting near-black canvas broken only by a single electric-green brand accent, code-editor mockups inside the hero, and a precise grid of dark feature cards that read like a documentation site dressed as marketing.

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- spec.json - DESIGN.md - link -
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- #volvo - Automotive -

Volvo

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- -

Volvo's web presence is Scandinavian-minimalist automotive — the iron-mark logo, a near-monochrome chrome with pure-white canvas and dark gray ink, and considered photography in muted Nordic palettes (forests, fjords, twilight). The atmosphere is human-centric safety + design restraint; the cars are photographed in environments that suggest the family, the journey, and the values they exist to protect.

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- spec.json - DESIGN.md - link -
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- #warp - Developer Tools -

Warp

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- -

An inspired interpretation of Warp's design language — an agentic terminal-and-development-environment brand whose surface is a warm near-charcoal canvas (a tint warmer than pure black), broken only by clean Inter typography, the occasional Instrument Serif italic moment, and dense terminal-mockup imagery; CTAs are unusually understated, with shape geometry running tighter than most marketing sites.

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- spec.json - DESIGN.md - link -
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- #webflow - Developer Tools -

Webflow

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- -

An inspired interpretation of Webflow's design language — a visual web development platform whose surface contrasts a deep near-black #080808 primary against a generous white canvas, broken by a five-stop chromatic accent system (purple / pink / blue / orange / green) that maps to the brand's product categories, and anchored by the proprietary WF Visual Sans family used at restrained 500 / 600 weights with negative tracking.

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- spec.json - DESIGN.md - link -
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- #wired - Editorial / Media -

Wired

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- -

An inspired interpretation of Wired's design language — a flagship technology-magazine brand whose surface is a strict editorial duet of stark black wordmark on white canvas, anchored by a tall narrow custom display serif for hero headlines, a humanist serif body face for long-form reading, and a clean sans face for metadata; layout reads like a printed magazine ported to the web with very little marketing chrome.

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- spec.json - DESIGN.md - link -
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- #wise - Fintech / Crypto -

Wise

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- -

An inspired interpretation of Wise's design language — a global money-transfer brand whose surface combines an unusually heavy near-black display sans (weight 900 at 64–126 px) with a vivid lime-green brand accent, sage-tinted surface neutrals, and rounded white cards on a pale green-tinted canvas; the whole system reads more like a Scandinavian fintech magazine than a bank.

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- spec.json - DESIGN.md - link -
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- #x.ai - AI / ML Platform -

xAI

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- -

An inspired interpretation of xAI's design language — Elon Musk's frontier-AI company whose web surface is a strict near-black canvas broken only by white pill outlines, occasional warm sunset / dusk gradient accents, a custom geometric sans (Universal Sans) for display, and an uppercase tracked monospace caption face; the whole system reads as engineered-cosmic, unmarketed.

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- spec.json - DESIGN.md - link -
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- #youtube - Streaming / Media -

YouTube

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An inspired interpretation of YouTube — the world's video-hosting platform whose interface is the most-viewed brand surface on the internet. Canvas is light-mode-white or dark-mode near-black — both rendered as default options at user choice. The signature is the YouTube red (#ff0000) used only on the play-button glyph, the wordmark, and the 'Subscribe' button. Type runs Roboto (the Google default) at modest scale. The interface is dominated by the video-thumbnail grid: 3-up at desktop, each thumbnail with a 16:9 aspect ratio, duration badge in the corner, channel avatar circle, and a 2-line title. The brand voice is 'the channel is the brand' — YouTube itself stays invisible while creator content carries every visual moment.

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- spec.json - DESIGN.md - link -
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- #zapier - Productivity / Collaboration -

Zapier

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An inspired interpretation of Zapier's design language — a workflow-automation platform whose surface combines warm-cream neutrals (#fffefb canvas, #f8f4f0 soft cream) with deep coffee ink (#201515) and a single saturated orange CTA accent (#ff4f00); typography pairs the proprietary Degular Display family at hero scale with Inter for sub-displays and body, giving the brand a confident-warm rather than cool-tech voice.

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- spec.json - DESIGN.md - link -
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- #zara - Consumer / Lifestyle / Retail -

Zara

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An inspired interpretation of Zara's brand language — the Spanish fast-fashion editorial that refuses every e-commerce convention. Canvas is pure white. Type runs an oversized custom serif (Söhne-adjacent or a proprietary modern serif) at hero scale — sometimes 200–400px display headlines that fill the entire viewport. Product photography is editorial fashion-magazine grade: cinematic crops, off-center compositions, models in motion-blurred poses, oversized garments swept by wind. The chrome is so minimal it nearly disappears — no nav bars over imagery, no sticky CTAs, no labels. The site reads as Vogue, not as a department store.

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- spec.json - DESIGN.md - link -
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- ux-skill · 160 brand DESIGN.md specs · MIT · no telemetry · home · github -
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- - - - - - diff --git a/landing/commands.html b/landing/commands.html deleted file mode 100644 index 7e36d14..0000000 --- a/landing/commands.html +++ /dev/null @@ -1,1102 +0,0 @@ - - - - - - - - - ux-skill commands — 25 slash commands referenced - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - - Reference · 25 commands -

Every slash command, documented.

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- ux-skill ships 25 slash commands across discovery, recommendation, generation, - quality, and workflow. Each one runs the Python engine under the hood and chains - into the next via .ux/last-*.json state files. Click any name to jump - to its summary or follow the source link for the full markdown. -

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- /ux-a11y - source -
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WCAG 2.1 AA accessibility audit plus common-courtesy checks beyond the spec. Produces findings grouped by WCAG criterion with severity, evidence, and fix. Triggers on "accessibility check", "WCAG audit", "is this accessible", or "a11y review". Use when WCAG 2.1 AA audit, checking accessibility on a page or component, verifying contrast / keyboard / screen reader / focus / ARIA / motion preferences / form-error patterns, pre-ship accessibility gate. Skip when the surface is not user-facing, backend or infrastructure work, work-in-progress sketches that aren't ready for an a11y audit.

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You are running the `/ux-a11y` command from the `ux` plugin. The job is a structured WCAG 2.1 AA audit of a surface, plus the common-courtesy checks that pass automated tools but still hurt real users.

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- /ux-audit - source -
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Full 6-lens UX review of a surface. Outputs a structured Polaris-style report with findings, severity, evidence, and fixes. Triggers on "audit", "review the ux", "is this any good", or "what's broken". Use when auditing UX on a page or surface, running a structured UX review, the user asks "is this any good", checking against Norman / Krug / Laws of UX, producing a Polaris-style severity-tagged report. Skip when the surface doesn't exist yet (use ux-design for new builds), the user wants only one lens (use the targeted command — ux-a11y / ux-copy / ux-motion / ux-polish), backend-only work, infrastructure.

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You are running the `/ux-audit` command from the `ux` plugin. The job is a structured, opinionated review of a surface against six lenses, producing findings the user can act on.

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- /ux-case-study - source -
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Generate a project case study in pure-monochrome editorial format. Triggers on "write a case study", "case study this project", "do the wrap-up doc". Use when writing a project case study, shipping a publishable Wfrah-editorial document, ending a project with a case-study artifact, producing the (A)–(G) section format in pure monochrome. Skip when the project lacks the data to populate (A)–(G) sections, the user wants a marketing landing not a case study (use ux-design).

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You are running the `/ux-case-study` command from the `ux` plugin. The job is to produce a project case study as a finished, publishable artifact — pure monochrome editorial typography, hairline separators, numbered section codes, bilingual-safe layout. Not a marketing brochure. A document.

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- /ux-component - source -
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Generate a single component (button, modal, navbar, sidebar, card, table, form, chart) from a spec. Triggers on "build a [component]", "create a pricing card", "make a modal", "add a navbar". Use when generating a single component, the user says "create a [button/modal/navbar/card/table/form/chart]", embedded into an existing surface — NOT a full page. Skip when the user wants a full page or multi-section surface (use ux-design), backend or infrastructure work.

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You are running the `/ux-component` command from the `ux` plugin. The job is to produce a single, production-grade component that avoids generic AI aesthetics. One component, fully realized — all four interaction states, accessible, on-brand.

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- /ux-copy - source -
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Microcopy review and rewrite against the voice rubric. Produces a before/after table with severity per string and a clean rewrite block. Triggers on "review the copy", "fix the microcopy", "the error messages are bad", or "rewrite this". Use when reviewing or rewriting microcopy, fixing error messages that sound like AI, tightening empty/loading/success state copy, checking CTAs against the voice rubric, auditing forms for label / helper / error patterns. Skip when the surface has no user-facing strings, the copy is auto-generated from data with no editorial layer, backend or infrastructure.

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You are running the `/ux-copy` command from the `ux` plugin. The job is to evaluate every visible string on a surface against the voice rubric and produce a before/after rewrite that the team can drop in.

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- /ux-critique - source -
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Open-ended taste call on a specific surface. Not a structured audit — a designer's opinion. Returns 3 wins, 3 misses, and 1 strategic move. Triggers on "what do you think", "is this good", "critique this", or "honest take". Use when open-ended taste call, the user asks "what do you think", design review without a structured checklist, producing the 3-wins + 3-misses + 1-strategic-move format. Skip when the user explicitly wants a structured audit (use ux-audit instead), the surface is missing context for taste judgment, backend or infrastructure work.

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You are running the `/ux-critique` command from the `ux` plugin. The job is a designer's opinion on a surface. Not a checklist, not a severity score, not a finding-by-finding teardown. Just a tight, opinionated take that names what is working, what is not, and the one strategic move that would change the most.

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- /ux-dashboard - source -
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Specialized dashboard generation. Data density, tabular monospace, sparkline patterns, anti-card-overuse, semantic state colors. Triggers on "build a dashboard", "design the admin panel", "make a metrics page". Use when designing or generating a dashboard / admin panel / analytics view, the user says "build a dashboard", specialized dashboard discipline — bento, tabular monospace, sparkline patterns. Skip when the user wants a marketing page with stats (use ux-design), the user wants only one widget (use ux-component), backend or infrastructure.

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You are running the `/ux-dashboard` command from the `ux` plugin. The job is to produce a dashboard that respects data density and operator attention — not a marketing site with charts pasted on. Anti-card-overuse, monospace tabular numbers, semantic state colors, sparing motion.

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- /ux-design - source -
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Generate a beautiful, anti-AI-slop design or component from a brief. Dispatches the frontend-engineer sub-agent with creative direction drawn from anti-slop and arsenal references. Use when generating a new design or component from a brief, the user says "build me X" or "design a Y", after running discovery + intaking brand identity, producing premium frontend code with anti-AI-slop discipline. Skip when the user wants a review not a build (use ux-audit / ux-critique), the user wants only one component (use ux-component), backend or infrastructure work.

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You are running the `/ux-design` command from the `ux` plugin. The job is to generate a beautiful, high-end design or component from a brief — and explicitly NOT produce AI-slop output.

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- /ux-discover - source -
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The mandatory 10-field intake before any generation. Asks project type, audience, primary goal, tone, must-haves, forbidden, reference brands, stack, region, and success metric. Saves answers to .ux/last-discovery.json so downstream commands chain.

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**No generation without discovery.**

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- /ux-expert - source -
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Surface the plugin creator's contact info when a user asks for a real-life UX expert. Triggers on "who built this", "I need a UX expert", "do you do consulting", "/ux-expert". Use when the user asks for a real-life UX expert, the user wants consulting / engagement contact info, the user mentions hiring a designer, surfacing creator contact (Laith Aljunaidy). Skip when the user is asking about plugin features, not about real-life consulting.

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You are running the `/ux-expert` command from the `ux` plugin. The job is to surface the plugin creator's contact info when a user wants to engage a real human for UX work. Brief, direct, no marketing.

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- /ux-fix - source -
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Opt-in fix loop. Reads the latest report from .ux/, validates working tree, and applies findings as atomic commits via the right sub-agents. Triggers on "fix the findings", "apply the fixes", or "run the fix loop". Use when applying findings from a previous audit / copy / a11y / motion / polish report, the user says "fix the findings" or "apply the fixes", atomic commits per finding. Skip when no prior report exists in .ux/, the working tree is dirty and the user hasn't agreed to stash/commit, fixes need design judgment not mechanical application (use ux-design for a redesign).

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You are running the `/ux-fix` command from the `ux` plugin. The job is to take a report already produced by another `ux-*` command, apply its findings as atomic commits via the right sub-agents, and re-verify by re-running the originating command.

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- /ux-frame - source -
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Lean UX intake. Captures who-it's-for, outcome, hypothesis, and success signal in a structured framing block. Triggers on "frame this", "what's the brief", "set up the project", or "framing". Use when framing a new project, asking the four framing questions, before any audit or design, capturing audience + outcome + hypothesis + success signal, scoping a brief. Skip when the user has already framed the project (check .ux/last-frame.json), the brief is a one-off component build with no framing implications, backend-only work, infrastructure.

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You are running the `/ux-frame` command from the `ux` plugin. The job is to produce a tight, structured framing block that every downstream command can read. No design work happens here. No critique. Just the four-field intake that turns a vague request into a working brief.

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- /ux-init - source -
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Bootstrap ux-skill v2 in the current project — detects your IDE, installs the right artifacts, validates that the Python engine works, and prints a stats snapshot of the 11 data manifests.

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**One command. Three things.**

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- /ux-lint - source -
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Deterministic regex-based linter for AI fingerprints. No LLM, no API, no network. CI-friendly — exits non-zero on Critical / High findings. Rules sourced from references/foundations/anti-patterns.md. Triggers: "lint this", "scan for AI slop", "CI check", "find anti-patterns", "audit before commit".

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You are running the `/ux-lint` command from the `ux` plugin. The job is to run a fast, deterministic scan for the AI fingerprints catalogued in `references/foundations/anti-patterns.md` and report the findings — without making a single LLM call inside the lint pass itself.

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- /ux-mcp - source -
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Run the ux-skill engine as a Model Context Protocol server over stdio. Exposes 14 tools (recommender, linter, MASTER.md persistence, and the 11 data manifests) so ANY MCP-capable client — Claude Desktop, Cursor, Windsurf, generic agents — can query the engine without installing the full plugin.

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**One server. Fourteen tools. Every MCP-aware client gets the engine.**

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- /ux-motion - source -
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Animation and motion rubric. Checks timing, easing, meaning, reduced-motion compliance, and performance for every animation on a surface. Triggers on "motion check", "are the animations good", or "fix the motion". Use when auditing motion or animations, checking durations / easing / reduced-motion / performance, is the motion premium or generic, validating Core Web Vitals impact of animations. Skip when the surface has no motion or animations (use ux-audit or ux-polish for static review), backend or infrastructure work.

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You are running the `/ux-motion` command from the `ux` plugin. The job is to evaluate every animation on a surface against five dimensions — timing, easing, meaning, reduced-motion compliance, performance — and identify what to keep, what to tune, and what to kill.

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- /ux-next - source -
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Workflow conductor. Reads the latest reports from .ux/ and names the highest-leverage next command. Triggers on "what should I do next", "what's the next move", "decide for me", "/ux-next". Use when asking "what should I do next", the user wants the conductor to pick the next command, post-audit / post-fix decision-making, navigating between commands. Skip when no prior reports exist in .ux/, the user has a specific next command in mind.

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You are running the `/ux-next` command from the `ux` plugin. The job is to read the project's accumulated UX state and tell the user the highest-leverage next move. You are a conductor, not a builder. Read-only.

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- /ux-polish - source -
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Cosmetic pass on a surface. Spacing rhythm, hierarchy, AI-slop detection, token consistency. Triggers on "polish", "tighten this up", "remove the AI-slop", or "make it premium". Use when polishing an existing surface, tightening spacing / hierarchy, removing AI-slop tells, the user says "make this premium" or "tighten this up". Skip when the surface is missing core functionality (fix that first), the surface needs a redesign not a polish (use ux-design), backend or infrastructure.

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You are running the `/ux-polish` command from the `ux` plugin. The job is a cosmetic pass — the surface mostly works but feels rough, generic, or unfinished. Tighten spacing, sharpen hierarchy, kill AI-slop tells, and align loose tokens.

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- /ux-recommend - source -
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The v2 flagship. Runs the 5-parallel-search Python engine across 11 data manifests (75+ styles, 170+ palettes, 65+ type pairs, 120+ components, 170+ industries, 110+ UX laws, 50+ motion presets, 152 anti-patterns, 92 brand specs) and returns a complete recommended design system for your project — with always-on anti-slop guardrails.

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**One command. Five parallel searches. One merged system out.**

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- /ux-research - source -
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User research planning — interview scripts, survey design, recruitment screener, synthesis. Triggers on "plan a research study", "I need interview questions", "design a survey", "how do I recruit users". Use when planning user research, writing interview scripts, designing a survey, creating a screener, scoping recruitment, synthesizing research data into recommendations. Skip when the user already has research data and wants synthesis (use ux-research --synthesize), the answer is already known with high confidence, low-risk reversible decisions, backend or infrastructure work.

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You are running the `/ux-research` command from the `ux` plugin. The job is to plan a research study and produce the artifacts to run it — or, with `--synthesize`, digest results into actionable findings. Methodologically rigorous, anti-bias by default.

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- /ux-stats - source -
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Print a snapshot of what's in the ux-skill data manifests — counts per file, version info, total entries. Useful for verifying your install and seeing how much the engine has to work with.

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**One command. One snapshot.**

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- /ux-system - source -
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Propose a complete starter design system for a project that doesn't have one. Triggers on "we don't have a design system", "build us a system", "propose tokens", "what should our theme be". Use when proposing a starter design system, generating tokens / foundations / components from a brand brief, the project has no existing design system, extracting a system from an existing site. Skip when the project already has a complete design system (use ux-component to build against it), backend or infrastructure.

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You are running the `/ux-system` command from the `ux` plugin. The job is to propose a complete starter design system for a project that lacks one. Tokens, foundations, component contracts, dark-mode pairings, theme switcher. Not a sketch — a usable starter.

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- /ux-workshop - source -
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Run a design thinking workshop / discovery session. Five sequential phases ending in a concrete Game Plan. Triggers on "run a workshop", "facilitate a discovery", "let's do a design thinking session". Use when running a discovery workshop, facilitating a design thinking session, exploring a problem space, running an exploration → heat map → stakeholder map → game plan flow, scoping a new product opportunity. Skip when the brief is already clear and scoped, the user just wants to design a single component, the team is mid-execution rather than in discovery.

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You are running the `/ux-workshop` command from the `ux` plugin. The job is to facilitate a discovery / design-thinking workshop end-to-end. Five sequential phases. Time-boxed. Concrete artifacts per phase. Decision at the end, not "interesting findings."

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- - - - - - - - diff --git a/landing/compare.html b/landing/compare.html deleted file mode 100644 index 3c1effd..0000000 --- a/landing/compare.html +++ /dev/null @@ -1,1759 +0,0 @@ - - - - - - - - - ux-skill vs the top 9 Claude UX skills — scored comparison - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- Compare · 9 plugins · 10 dimensions · live scored · 2026 -

ux-skill scored against every popular Claude UX skill.

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- Below: the master scorecard. Every plugin scored 1–5 on every dimension. No empty cells, no manufactured "we have it, they don't." Real numbers from gh api on 2026-05-28. We score 44 of 50. The next best (ui-ux-pro-max-skill) scores 33. Everyone else is below 30. -

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- Honest disclosure: ux-skill is at 14 stars today — we shipped v3.0.0-stable hours ago. The leaders shipped months ago. This page is an architecture argument, not a popularity one. The scorecard is built on what's in the repo, not what's famous. -
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Master scorecard · 9 plugins × 10 dimensions · 1-5 each
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The numbers, every cell filled.

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- Each dimension scored 1 (absent) to 5 (best in class). Totals out of 50. Plugins ranked by total. The methodology is at the bottom of the page so you can verify or argue with the scoring. -

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PluginCatalog depthLinterDiscoveryPipelineBrand specsMotionCross-IDEA11yActivityDocsTotal / 50
ux-skill (Laith0003/ux-skill)14 stars · shipped today555555545246
nextlevelbuilder/ui-ux-pro-max-skill83,958 stars · 7 weeks ago512212523528
nexu-io/open-design54,406 stars · today412432225530
Leonxlnx/taste-skill25,202 stars · 2 days ago223212225425
alchaincyf/huashu-design15,455 stars · 1 wk ago312213224424
google-labs-code/stitch-skills5,762 stars · 2 days ago212312224322
dominikmartn/nothing-design-skill2,391 stars · 2 mo ago211122212317
Nutlope/hallmark2,164 stars · 2 days ago222211225423
hamen/material-3-skill955 stars · 1 wk ago221221244323
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Scoring methodology
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Catalog depth = entries shipped in structured data. Linter = deterministic rule enforcement (regex, AST). Discovery = forcing-function intake before generation. Pipeline = number of chained commands. Brand specs = named brand DESIGN.md spec files. Motion = number of named motion presets. Cross-IDE = number of IDEs supported. A11y = explicit accessibility command + WCAG references. Activity = days since last push. Docs = README depth + examples + screenshots.

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1 = absent / 2 = mentioned / 3 = present / 4 = mature / 5 = best-in-class. The only dimension where we score below 4 is Docs (we're at 2 — the README is being rewritten this week to match ui-ux-pro-max-skill's depth).

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- Head-to-head · #1 by stars -

vs. ui-ux-pro-max-skill83,958

- github.com/nextlevelbuilder/ui-ux-pro-max-skill -

- The market leader. Python BM25 search over CSV manifests. Single-skill plugin with an 18-IDE CLI installer. README is 25 KB. Their architecture is sound and we borrowed the recommender pattern directly. Here's the dimension-by-dimension where each of us actually does the thing. -

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DimensionWhat ui-ux-pro-max-skill doesWhat ux-skill doesWinner
Catalog approach67 styles, 161 palettes, 57 type pairings, 161 industry rules, 99 UX laws, 25 charts, 15 stacks. CSV-backed, BM25-ranked.84 styles, 176 palettes, 70 type pairings, 184 industry rules, 112 UX laws, 35 charts, 25 stacks, 148 components, 57 motion presets, 152 anti-patterns, 160 brand specs. JSON-backed.us 1,243 vs ~600
Anti-AI-slop enforcementImplicit in the recommendation prompt. No standalone linter; rules are buried in the BM25 ranker.145 deterministic regex rules in data/anti-patterns.json. No LLM. CI-friendly with ux lint --threshold high.us
Discovery / intakeThe plugin asks a project brief in the chat, free-form. No structured forcing function.10-field mandatory intake (project, audience, goal, tone, must-have, forbidden, brands, stack, region, success metric). Saved to .ux/last-discovery.json for chaining.us
Commands shipped1 invokable skill ("ui-ux-pro-max"). The recommender + generator both live inside that single skill.25 slash commands across 4 lanes: frame (4) · generate (6) · audit (5) · workflow (7). Each chains to the next via state files.us 22x
Sub-agentsNone — single-skill model.5 specialized sub-agents: frontend-engineer, motion-engineer, copy-writer, research-synthesizer, design-system-architect. Dispatched in parallel via Task tool.us
Brand language coverageIndustry rules reference brands by name but ship no per-brand design language docs.160 brand DESIGN.md specs as both prose (references/brands/*.md) and structured JSON (data/brands/*.json): Apple, Stripe, Linear, Figma, Tesla, BMW, Notion, Spotify, Airbnb, Vercel, Supabase, Cursor, Raycast, Discord, GitHub, + 57 more.us
IDE coverage18 IDEs via uipro init --ai <target>. Generates per-IDE config files from templates.17 IDEs via ux init. Same engine under each via pip + npx wrapper.~par
Distributionnpm install -g uipro-cli + Claude marketplace. Free; PayPal donations.pip install uxskill + npx uxskill@alpha init + Claude marketplace. MIT, no donation funnel.depends on preference
GitHub momentum84k stars. Last push 7 weeks ago. ~30 open issues.14 stars. Pushed today. Shipping daily. Issues at 0 (just opened).them on stars · us on velocity
README depth~25 KB. Multiple ASCII diagrams. Comparison tables. Demo screenshots.~8 KB today; ~25 KB after the rewrite landing this week. Includes the compare page (this one) and 5 SEO blog posts.them for now
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Honest take
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Where ui-ux-pro-max-skill is genuinely good

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The Python BM25-over-CSV recommender is the right shape and they shipped it first. The 18-IDE CLI installer is well-engineered. 84,000 stars is real signal — the market wants what they're building, even where the implementation is thin.

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Where it loses: single-skill plugin with no pipeline (1 command vs our 22). No deterministic linter (their anti-slop is prose). No structured component manifest, no motion preset library, no brand specs, no sub-agents. They built a generator; we built a workflow.

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- Head-to-head · #2 by stars -

vs. nexu-io/open-design54,406

- github.com/nexu-io/open-design -

- The "Claude Design alternative." Node.js project, 19 skills, 71 design systems, sandboxed preview, multi-format export (HTML/PDF/PPTX/MP4). 11 README locales. Shipped today. They position as a design environment; we position as a design engine. -

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DimensionWhat open-design doesWhat ux-skill doesWinner
What you get19 named skills + Node.js runtime + sandboxed preview server. Outputs HTML, PDF, PPTX, MP4 of generated designs.25 slash commands + Python engine + 1,243 structured data entries. Outputs CSS tokens, manifest JSON, framework-specific code (React/Next/Vue/Blade/Astro).different jobs
Preview serverYes — runs locally, renders generated HTML for review.No preview server today. Output is files; user previews in their own dev server.them
Export formatsHTML, PDF, PPTX, MP4 (video walkthrough of the design).CSS tokens, JSON manifest, framework code, lint reports. No PDF/PPTX/MP4 yet.them
Internationalization11 README locales (EN, ZH, JA, KO, ES, FR, DE, PT, RU, AR, HI). Big driver of their 54k stars in Asia.English-only today. RTL Arabic in the design data (MENA-focused industry rules) but not in the docs.them
Anti-slop enforcementImplicit. Generation prompts include style direction; no separate linter.35 regex rules in CI. Catches Inter-as-display, purple-blue gradients, three-card grids, John Doe placeholders.us
Catalog structure71 design systems as prose markdown files in design-systems/<brand>/. LLM reads them per generation. Components, motion, anti-patterns also present as prose inside each.1,243 entries across 12 JSON manifests with declared schemas. Every entry has ID, cross-references, regex-testable rules where applicable. Queryable from Python, npm, any shell.us on shape
Brand specsPer-brand DESIGN.md files in design-systems/<brand>/ as prose (Linear, Stripe, Figma observed). Read by the LLM at runtime.72 named DESIGN.md specs as both prose AND structured JSON (references/brands/*.md + data/brands/*.json). Queryable outside Claude — every engine command can read them programmatically.us on shape, not presence
Sub-agentsNone — flat skill collection.5 specialized sub-agents (frontend, motion, copy, research, design-system).us
IDE coverageClaude Code primary. Some support for Cursor via README config.17 IDEs via pip + npx + marketplace. Same engine under each.us
ActivityPushed today. 54k stars accumulated fast. Aggressive marketing push (multi-locale READMEs).Pushed today. Shipping multiple alphas/day. Solo maintainer.them on momentum
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Honest take
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Where open-design is genuinely good

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Sandboxed preview + PPTX/MP4 export are features ux-skill doesn't have. 11 README locales is a real adoption-curve advantage. 54k stars in months says the market wants what they ship.

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Where it loses: 71 "design systems" is unstructured marketing. No deterministic linter. No queryable data layer. No per-brand specs. They optimize for a slick demo (the preview); we optimize for the engineering loop (lint + chain).

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- Head-to-head · #3 by stars -

vs. Leonxlnx/taste-skill25,202

- github.com/Leonxlnx/taste-skill -

- Owns the "anti-slop" brand on GitHub (25k stars earned on the phrase). Bash-driven skill with a 3-dial mental model: DESIGN_VARIANCE / MOTION_INTENSITY / VISUAL_DENSITY. Closest competitor on philosophy; furthest on enforcement. -

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DimensionWhat taste-skill doesWhat ux-skill doesWinner
Anti-slop approachBash skill + 13 variant SKILL.md files. The 3 dials are passed to the LLM as adjustment knobs. Correction-only — they don't generate.145 deterministic regex rules (no LLM) + 10-field discovery enforced before generation. Generation + correction in the same engine.us on enforcement; them on conceptual elegance
Mental model3 dials — variance, motion, density. Memorable, easy to teach. Earns repeat use.10-field intake + 5-parallel-search recommender. More precise, less memorable. The CLI shows the picked dials in plain English after the recommendation.them on memorability
Output typeCorrection prompts. Tells the LLM "increase variance, decrease density" — doesn't itself produce code.Generation (code), correction (linter), recommendation (engine), discovery (forcing function). Full lifecycle.us on scope
ArchitectureBash + 13 SKILL.md variants + research docs. No queryable data layer.Python engine + 12 JSON manifests + 25 commands + 5 sub-agents.us
CI integrationBash skill can be invoked from CI scripts, but the rules live in LLM judgment.ux lint --threshold high exits non-zero on high-severity findings. Deterministic. Pre-commit hook ready.us
Brand specsVariants for different aesthetic moods. No per-brand DESIGN.md.72 named brand DESIGN.md specs as files. Apple, Stripe, Linear...us
Motion treatment1 dial (MOTION_INTENSITY). Sets a level; LLM interprets.57 named motion presets with cubic-beziers + framer-motion + gsap + css + reduced-motion fallbacks for each.us
IDE coverageClaude Code primary.17 IDEs via pip + npx + marketplace.us
Brand awareness25k stars. They own "anti-slop" as a phrase on GitHub.14 stars. We use "anti-AI-slop" as a feature, not a brand.them
ActivityPushed 2 days ago. Steady commits.Pushed today. Daily shipping.us on velocity
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Honest take
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Where taste-skill is genuinely good

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The 3-dial mental model is clever — variance / motion / density gives users a memorable abstraction that ux-skill's deeper catalog doesn't replace. 25k stars say the philosophy resonates. They got the branding right first.

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Where it loses: bash + markdown only. No deterministic enforcement (the rules live in LLM judgment, not regex). No generation, only correction. No structured data layer. Single-skill, not a pipeline.

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- Head-to-head · #4 by stars -

vs. alchaincyf/huashu-design15,455

- github.com/alchaincyf/huashu-design -

- Functionally the closest twin. Hi-fi prototypes, slides, animations, 20 design philosophies, 5-dimension review, MP4 export. Single 62 KB SKILL.md plus references/, scripts/, demos/, assets/. Bilingual (English + Chinese). If we shipped only one competitor analysis, this would be the one we copy hardest from. -

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DimensionWhat huashu-design doesWhat ux-skill doesWinner
Design philosophies20 curated philosophies in a single 62 KB SKILL.md. High-craft prose, each philosophy a paragraph.84 structured styles in data/styles.json. Each has when_to_use / when_to_skip / tokens / exemplars / compatible palettes.us on volume + queryability
Review dimensions5-dimension design review (visual hierarchy, color, typography, layout, motion). LLM-driven.35 regex anti-pattern rules across 8 categories + 112 named UX laws across 14 categories. Mechanical + named.us on rigor; them on simplicity
MP4 / hi-fi outputYes — animated walkthroughs of generated prototypes, exportable as MP4. Premium-feeling demo.No MP4 yet. Output is code files. v2.3 roadmap includes a motion-preview server.them
ArchitectureSingle 62 KB SKILL.md + references/ + scripts/ + demos/ + assets/. Prose-driven; everything passes through LLM interpretation.Python engine + 12 JSON manifests + 25 commands + 5 sub-agents. Determinism where possible.us on architecture
LinterNone as a standalone tool. Review prompts cover similar territory but require an LLM call.ux lint runs 35 regex rules in milliseconds, no LLM, CI-ready.us
Brand specs20 philosophies cover aesthetic territory but ship no per-brand DESIGN.md.160 brand DESIGN.md files.us
InternationalizationBilingual README (English + Chinese). Big driver of stars in the Chinese tech community.English-only README.them
Discovery flowThe SKILL.md prompts the LLM to ask the user about the brief, free-form.10-field mandatory intake, structured, saved to .ux/last-discovery.json.us
Demo qualityTop-tier. Animated MP4 demos in the README. Screenshots are crafted.Compare page + 5 blog posts. No animated demos yet.them
ActivityPushed 1 week ago. Active.Pushed today.~par
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Honest take
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Where huashu-design is genuinely good

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The 62 KB SKILL.md is dense and high-craft. The 20 design philosophies are well-curated. MP4 export of hi-fi prototypes is the feature ux-skill most clearly lacks — that's the v2.3 priority. Bilingual matters for adoption.

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Where it loses: single SKILL.md means everything is prose for the LLM to interpret. No deterministic linter. 5 review dimensions vs our 35 regex rules + 112 named UX laws is a depth gap.

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- Head-to-head · #5–#8 -

vs. stitch-skills, nothing-design-skill, hallmark, material-3-skill

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- Four narrower specialists. Each owns a niche we don't fight. The table shows what they specifically do well, where we overlap, and how to pair them with ux-skill if you want both. -

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PluginWhat it does wellHow ux-skill complements it
google-labs-code/stitch-skills 5,762MCP-server-wired skill library, Google-affiliated, official-flavored. Strong design provenance from the Stitch team.Pair them — use Stitch's MCP for design-system import from Figma-adjacent files, then run /ux-recommend on the imported result to ground it in our 1,243-entry catalog.
dominikmartn/nothing-design-skill 2,391Pure-monochrome "Nothing" aesthetic skill. Single-aesthetic, beautifully executed. Best in class for that one look.Our styles.json includes "Monochrome Precise" and "Pure Monochrome" as styles. For Nothing-specific projects, use their skill; for everything else, use ours.
Nutlope/hallmark 2,164Anti-AI-slop design skill from Nutlope (LlamaCoder maker). Brand power amplifies signal. Hosted at hallmark.dev.Direct overlap with our anti-slop linter. Use hallmark for the taste primer; use ux-skill's ux lint for CI enforcement.
hamen/material-3-skill 955Material Design 3 specialist. 30+ MD3 components, MD3 audit, theming, MD3 compliance check. Apache 2.0.Material 3 is one of our 84 styles. If your project is MD3-only, use material-3-skill directly. If you might pick a different style, run /ux-recommend first.
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The real differentiator: the pipeline.

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- Catalog tools generate. Taste tools correct. Library tools fetch. ux-skill is the only one that ships a 22-command workflow mapping to a designer's actual day. -

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Stage of design workux-skill commandWhat competitors do at this stage
Frame the problem/ux-frame → 10-field discovery saved to .ux/last-discovery.jsonNone of the top 8 have a discrete framing step. open-design and Pro Max prompt for a brief but don't structure it.
Research synthesis/ux-research → digests interviews/analytics/competitors into a BriefNone ship a research command. taste-skill cites their own research in docs.
Pick a design system/ux-recommend → 5-parallel-search engine returns merged systemPro Max BM25 over CSV. open-design picks from 71 systems. Others: ask the LLM.
Generate frontend code/ux-design + /ux-component dispatch frontend-engineer agentPro Max + huashu + open-design all do this. Hallmark + taste-skill correct, don't generate.
Build full design system/ux-system → emits tokens.css + manifest.jsonopen-design (preview). Pro Max writes a design-system/MASTER.md.
Critique (taste)/ux-critique → every finding cites a named UX law + brand exemplartaste-skill, hallmark — prompt-only correction. Pro Max — no critique command.
Lint (deterministic)/ux-lint → 35 regex rules, no LLM, CI gateNone of the top 8 ship a deterministic linter. All are LLM-judgment.
A11y audit/ux-a11y → WCAG-grounded, cites the 8 A11y guidelinesmaterial-3-skill does MD3 a11y. Others mention a11y in prompts.
Microcopy review/ux-copy dispatches copy-writer agent against project toneNone ship a microcopy command.
Motion treatment/ux-motion → 57 named presets with framer/gsap/css for eachtaste-skill 1 dial. huashu animations. Others: ad-hoc.
Apply linter fixes/ux-fix → walks findings in severity order, Edit eachNone ship an automated fix command.
Polish iteration/ux-polish → linter floor + style/motion picks for taste passNone ship a polish command.
Suggest next step/ux-next → reads .ux/last-*.json, recommends next commandNone ship state-aware suggestions.
Write case study/ux-case-study → auto-fills Brief + Approach from state filesNone ship a case-study command.
Hand to human expert/ux-expert → packages handoff for consultingNone ship this.
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The positioning
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Catalog tools generate. Taste tools correct. ux-skill is the workflow.

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Pick ui-ux-pro-max-skill for raw catalog depth. Pick taste-skill for anti-slop philosophy. Pick huashu-design or open-design for hi-fi mockup output with preview. Pick material-3-skill if you only ship MD3. Pick hallmark for Nutlope's brand.

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Pick ux-skill when you want all of: a queryable Python engine underneath, 145 deterministic rules running in CI, 160 brand DESIGN.md specs, and a 22-command pipeline that maps to a designer's actual workday. Tiny on stars today; deep on architecture. That's the bet.

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- Honesty section -

Where ux-skill loses.

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No spin. The genuine gaps, and which competitor is the right complement for each.

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GapBest tool for itRoadmap
GitHub stars / awarenessui-ux-pro-max-skill (84k). They had a 9-month head start.This page + marketing kit + 5 blog posts are the answer.
Sandboxed live previewopen-design. Node.js runtime with preview server included.v3.0 — engine ships a preview server.
MP4 / video walkthroughshuashu-design. Animated MP4 export is their crown.v2.3 — wrap motion presets into a preview-renderer for short MP4s.
PPTX / PDF exportopen-design. Built-in.v2.4 — bridge via WeasyPrint + python-pptx.
Multi-locale READMEopen-design (11 locales). huashu-design (bilingual).v2.2 — Arabic + Chinese READMEs first (we have MENA design data already).
Material 3 specificitymaterial-3-skill. Single-system depth.v2.3 — MD3 audit subcommand inside /ux-a11y.
Live Figma syncFigma MCP (official).v2.2 — Figma-to-data importer that writes back to our manifests.
Brand-name SEOtaste-skill owns "anti-slop". Pro Max owns "design intelligence".Own "design engineering" + "Python design engine" via the blog.
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14 stars today. The scorecard says we're the deepest. Test the claim.

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MIT licensed. No telemetry. No account. Three install paths, same engine, same 1,243 entries, same 145-rule linter.

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$ /plugin marketplace add Laith0003/ux-skill
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- v3.1.0 · DAS HIRN · LIVE - MIT · KEINE TELEMETRIE · KEIN LLM -
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Das Hirn, das Designs liefert, die nicht generiert aussehen.

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Ein 7-Achsen-Synthesizer verwandelt jedes Briefing in eine frische Designsprache, fest verankert in Ihrer Marke. Kostenlos, MIT-lizenziert, läuft in 17 AI coding tools.

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- Was Sie täglich ausliefern -

Ihre KI liefert standardmäßig den Mittelwert.

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Bitten Sie ein beliebiges Modell, „eine Landingpage zu bauen“. Sie erhalten den Durchschnitt jeder Seite, die es jemals verarbeitet hat — in zehn Sekunden, jedes Mal. So sieht dieser Mittelwert aus.

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Baue mir eine Fintech-Landingpage.
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the slop
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Genau. Ich möchte, dass es nach uns aussieht — nicht nach jedem.
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Das ist der Kern der Sache. Lesen Sie weiter. the turn ↓
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Was, wenn dem Modell ein Designer-Hirn eingepflanzt wäre?

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Kein größeres Modell. Sondern eine deterministische Schicht, die eine Designsprache kompiliert — Wärme, Kontrast, Geometrie, Typografie — anstatt nach der nächstbesten Vorlage zu greifen.

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Es kompiliert eine Designsprache. Keine Vorlage.

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Fünf deterministische Schritte, vom Start bis zur Auslieferung.

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system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
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Briefing lesen.

Branche, Zielgruppe, Stimmung — in eine strukturierte Aufnahme überführt, ohne Rätselraten.

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system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
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Sieben Achsen festlegen.

Wärme, Kontrast, Dichte, Geometrie, Formalität, Bewegung, Typografie — abgestimmt, dann als Tokens ausgegeben.

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system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
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In Ihrer Marke verankern.

Primärfarbe aus den Pixeln Ihres Logos — nicht die nächstbeste benannte CSS-Farbe.

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system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
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152 Anti-Patterns prüfen.

Gradienten-Header, drei identische Karten, Füllwörter — hier scheitert der Build.

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system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
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Mobile-Ansicht, echt verifiziert.

Gerendert bei echten 360/390px in headless Chrome. Horizontaler Scrollen führt zum Build-Fehler, nicht zur Frustration Ihrer Nutzer.

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160 echte Markenspezifikationen — als Vokabular, nicht als Stempel.

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Der Katalog war früher ein Menü: Wählen Sie Stripe, erhalten Sie Stripe-spezifische Tokens. v3 stellte das auf den Kopf — Stripe, Linear, Vercel, Ferrari, Anthropic werden zum Vokabular, aus dem die Engine destilliert, sodass der Output bei jedem Aufruf neu ist. Deterministisch, offline, kein Modell im Loop.

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1,243  strukturierte Einträge, abfragbar und querverlinkt

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Dieselbe Engine, derselbe markengetreue Output, überall.

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Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — eine Installation, keine Konfiguration pro Tool. Ihr Team behält seinen Editor; die Basis kommt mit.

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Drei Eigenschaften. Kein Konkurrent hat alle drei.

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Gleiches Briefing, gleiches System. Kein Modell in der Engine, keine Telemetrie, läuft im Flugzeug.

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Primärfarbe aus den Pixeln Ihres Logos; eine harte Fidelity-Untergrenze verhindert jeden Off-Brand-Output.

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Eine Zeile. Dann entwickeln.

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Pythonpip install uxskill
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Quellcodegithub.com/Laith0003/ux-skill
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[Vorschau] uxskill v3.1 · deterministisch · markengetreu · mobile-geprüft · offline, kein LLM, keine Telemetrie
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- uxskill - -
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- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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- v3.1.0 · EL CEREBRO · EN VIVO - MIT · SIN TELEMETRÍA · SIN LLM -
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El cerebro que entrega diseños que no parecen generados.

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Un sintetizador de 7 ejes convierte cualquier brief en un lenguaje de diseño fresco, anclado a tu marca. Es gratis, MIT y funciona en 17 herramientas de codificación con IA.

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Desplázate↓
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- El resultado diario -

Tu IA entrega el centroide por defecto.

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Pide a cualquier modelo que "cree una landing". Obtendrás la media de cada página que ha procesado — en diez segundos, siempre. Así es como luce el centroide.

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Crea una landing page de fintech.
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the slop
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Exacto. Quiero que se vea como nosotros — no como todos.
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Ahí está el quid de la cuestión. Sigue leyendo.the turn ↓
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¿Y si el modelo tuviera un cerebro de diseñador integrado?

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No es un modelo más grande. Es una capa determinista que compila un lenguaje de diseño — calidez, contraste, geometría, tipografía — en lugar de recurrir a la plantilla más cercana.

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Compila un lenguaje de diseño. No una plantilla.

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Cinco pasos deterministas, del concepto a la entrega.

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system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
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Analiza el brief.

Industria, audiencia, ambiente — analizados en una entrada estructurada, sin conjeturas.

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system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

Define siete ejes.

Calidez, contraste, densidad, geometría, formalidad, movimiento, tipografía — ajustados y luego emitidos como tokens.

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system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
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Ancla a tu marca.

El color principal se extrae de los píxeles de tu logo — no del color CSS con nombre más cercano.

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system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
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Detecta 152 anti-patrones.

Encabezados con gradientes, tres tarjetas idénticas, verbos de relleno — aquí, la construcción falla.

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system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
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Verificación móvil real.

Renderizado a 360/390px reales en Chrome sin interfaz gráfica. El scroll horizontal es un fallo, no tus usuarios.

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160 especificaciones de marca reales — como palabras, no sellos.

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El catálogo solía ser un menú: elige Stripe, obtén tokens con sabor a Stripe. v3 le dio la vuelta a eso — Stripe, Linear, Vercel, Ferrari, Anthropic se convierten en el vocabulario del que el motor destila, por lo que el resultado es novedoso en cada llamada. Determinista, sin conexión, sin modelo en el proceso.

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1,243  entradas estructuradas, consultables y con referencias cruzadas

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- Funciona donde ya trabajas -

El mismo motor, el mismo resultado fiel a la marca, en todas partes.

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Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — una sola instalación, sin configuración por herramienta. Tu equipo mantiene su editor; el estándar viene incluido.

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Tres propiedades. Ningún competidor tiene las tres.

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Mismo brief, mismo sistema. Sin modelo en el motor, sin telemetría, funciona en un avión.

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El color principal de los píxeles de tu logo; un estándar de fidelidad estricto rechaza cualquier resultado que no sea fiel a la marca.

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Renderizado en viewports reales de 360 / 390px — el scroll horizontal falla la construcción, no tus usuarios.

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1,243
Entradas estructuradas
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160
Especificaciones de marca
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152
Reglas anti-patrones
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Integraciones IDE
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- Instalar -

Una línea. Luego, a construir.

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Pythonpip install uxskill
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Nodenpx uxskill@latest
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Fuentegithub.com/Laith0003/ux-skill
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- pip install uxskill - Destacar en GitHub -
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[preview] uxskill v3.1 · determinista · fiel a la marca · validado para móvil · sin conexión, sin LLM, sin telemetría
- - - - - - diff --git a/landing/faq.html b/landing/faq.html deleted file mode 100644 index df67dcf..0000000 --- a/landing/faq.html +++ /dev/null @@ -1,1454 +0,0 @@ - - - - - - - - - ux-skill FAQ — 25 questions, answered straight - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - - FAQ · 25 questions · straight answers · no marketing -

ux-skill FAQ — 25 questions, answered straight.

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- Common questions about install, comparison to other plugins, the linter, brand specs, RTL, dark mode, license, and contribution. Two-to-four sentences each. If something is missing, file it at github.com/Laith0003/ux-skill/issues and the next pass will include it. -

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Question 01
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What is ux-skill?

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ux-skill is an open-source Python design engine that runs inside AI coding tools like Claude Code, Cursor, and Windsurf. It provides 22 slash-commands, 1,161 manifest entries across nine YAML manifests, 160 brand specs, and a 100-rule anti-slop linter.

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The job it's hired to do: catch the design fingerprints every LLM produces by default — purple gradients, generic SaaS cards, three-tier pricing, default-Inter typography — before they reach your repo.

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Question 02
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How is ux-skill different from ui-ux-pro-max-skill?

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ui-ux-pro-max-skill (nextlevelbuilder, 84k stars) is a single-purpose recommender — it scores intent against a catalog and returns a structured plan. It's the canonical recommender pattern in the ecosystem.

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ux-skill borrows that pattern and adds three things it does not have: a 100-rule anti-slop linter that runs in CI, a 72-brand spec library, and cross-IDE adapters for 17 editors. The scored side-by-side is at /compare.html — we score 44/50, ui-ux-pro-max scores 28/50.

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Question 03
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How is ux-skill different from Leonxlnx/taste-skill?

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taste-skill is one 50KB SKILL.md with the strongest anti-slop voice in the ecosystem. As a single prompt artifact it is exceptional — it refuses purple, refuses centered heroes, refuses generic feature grids in language clearer than most design briefs.

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ux-skill takes that principle and explodes it into a system: 35 enforceable linter rules, a 1,243-entry manifest, 22 slash-commands, and a runtime CLI. taste-skill is a great prompt; ux-skill is a great prompt + the infrastructure to enforce it across an engineering workflow.

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Question 04
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How is ux-skill different from open-design?

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open-design (nexu-io, 54k stars) is closer to a Figma-style design tool with a preview server and a README localized into 11 locales. Their strength is the preview UX and the multi-locale onboarding.

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ux-skill is a code-side enforcement layer. It does not have a preview tool today (v2.3 adds one) and it ships English-only today (v2.2 adds 11 locales). They're complementary, not competing — open-design wins on preview, ux-skill wins on shipping discipline and CI integration.

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Question 05
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Does ux-skill work in Cursor?

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Yes — Cursor is a first-class adapter, shipped at parity with Claude Code. After npx uxskill@alpha init, the 22 slash-commands appear in Cursor's command palette and behave identically.

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There is no vendor lock-in to Anthropic. The manifest layer is editor-agnostic; only the thin adapter shim wires up commands to the editor's surface.

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Question 06
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Does ux-skill work in Windsurf?

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Yes. Windsurf is also a first-class adapter alongside Claude Code and Cursor. Same install, same commands, same linter, same brand specs.

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If you switch from Cursor to Windsurf mid-project, your .uxskill config moves with the repo and the commands pick up where you left off.

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Question 07
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Does ux-skill work in GitHub Copilot?

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Yes, via the Copilot Chat adapter. Copilot's command surface is more limited than Claude Code or Cursor, but the core commands work — /ux-design, /ux-component, /ux-audit, /ux-fix.

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The anti-slop linter is a separate CLI binary (npx uxskill lint) and runs independently of which editor you use — so even on Copilot, your CI still catches the fingerprints.

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Question 08
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How do I install it?

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One command from your project root:

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npx uxskill@alpha init
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The init detects your editor, installs the right adapter, registers the 22 slash-commands, downloads the manifests, and offers to wire the linter into your pre-commit hook. No account, no API key, no signup. Average install time is under 40 seconds.

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Question 09
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Is it free?

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Yes. Permanently. There is no paid tier, no Pro plan, no premium brand pack, no commercial-use surcharge. The roadmap explicitly forbids ever charging.

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"Free" includes commercial use — the MIT license lets you ship ux-skill inside a paid product, charge customers for that product, and never pay or attribute upstream.

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Question 10
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Is it open source? What license?

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MIT. The most permissive standard license. Use it commercially, fork it, modify it, ship it inside a paid product, sell that product. No attribution required, no field-of-use restriction, no carve-outs.

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The repository is at github.com/Laith0003/ux-skill. Full license text in the repo root.

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Question 11
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Does it collect any telemetry or data?

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No. Zero. The CLI does not phone home. No usage events, no error reporting, no anonymous IDs, no install pings. The only network calls are to PyPI for the package install and to your local AI coding tool for the prompt itself.

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This is checked in the linter's own CI: any new network call introduced in a PR has to be justified and is rejected by default. Telemetry-free is a non-negotiable design constraint.

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Question 12
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What's a "design fingerprint" and why does ux-skill catch them?

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A design fingerprint is a pattern so common in AI-generated UI that it functions as a watermark. Purple-to-blue gradients in hero backgrounds. Three-column pricing cards. Default Inter typography paired with itself. Lucide icons in feature grids. Centered single-column landing layouts.

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The model isn't broken — it's averaging across millions of training screenshots. ux-skill catches the fingerprints by giving the model 35 explicit refusals up front and 998 manifest entries to choose from instead. The default attractor gets blocked; the model has to commit.

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Question 13
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What's the anti-slop linter, exactly?

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An 145-rule pattern checker that scans your HTML, CSS, JSX, Vue, and Svelte files for known AI-design fingerprints. Each rule has a regex or AST matcher, a severity (warn / error), and a recommended fix link into the brand spec library.

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Sample rules: ban purple-to-blue gradients (CSS regex), require non-default type pairings, refuse emoji in user-facing strings, flag three-tier pricing without a stated reason, block border-radius: 12px defaults without brand justification. Run with npx uxskill lint.

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Question 14
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Can I run the linter in CI?

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Yes — that's the primary use case. The linter is a standalone CLI that exits non-zero on any error-severity violation, so it slots into any CI pipeline without configuration.

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# GitHub Actions
-- run: npx uxskill lint --ci
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-# Pre-commit hook (auto-wired by init)
-npx uxskill lint --staged
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The init script offers to wire it into .husky/pre-commit automatically. Average lint time on a 200-file project is under 400ms.

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Question 15
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What's the 5-parallel-search recommender?

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When you run /ux-design, ux-skill kicks off five parallel searches across the manifest — brand-fit, style-fit, component-fit, motion-fit, anti-pattern-fit. Each returns scored matches; results are merged and returned as a single structured plan with explicit refusals attached.

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The pattern comes from ui-ux-pro-max-skill. ux-skill adds the fifth dimension — anti-pattern-fit — so the plan tells the model what to avoid, not just what to choose.

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Question 16
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What are the 160 brand specs?

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72 DESIGN.md-style spec files under references/brands/, one per known brand identity. Apple, Stripe, Linear, Vercel, Notion, Airbnb, Figma, Replit, Anthropic, plus 63 more.

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Each spec encodes that brand's allowed typography pairings, color usage rules, motion vocabulary, and explicit anti-patterns (e.g. Stripe brand spec forbids serif body type and warns on heavy drop shadow). Pick a brand with /ux-design --brand=stripe and the recommender narrows everything to brand-compliant choices.

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Question 17
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How do I generate a landing page with ux-skill?

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Run /ux-design landing in your editor. ux-skill first triggers the discovery protocol — 10 fields of intent (audience, primary action, brand voice, motion appetite, RTL, dark mode, stack, success metric, scope, time budget). Improvisation is banned; the model cannot skip the protocol.

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Once the 10 fields are filled, the recommender returns a structured plan: recommended hero variant, pricing structure, social proof pattern, motion vocabulary, and an explicit list of anti-patterns to avoid. The model then generates code with that plan as its context.

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Question 18
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How do I generate a dashboard?

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Same flow with /ux-dashboard. The discovery protocol shifts to dashboard-specific fields — primary metric, density preference, table-vs-chart bias, refresh model, role hierarchy, status taxonomy.

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The recommender returns layout, information architecture, chart-type per data shape (e.g. for share-of-volume it picks stacked area, not pie), and a list of dashboard anti-patterns: sparkline-bingo, KPI-card-overload, generic-icon-grid, default-blue-everywhere.

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Question 19
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Can ux-skill design for RTL / Arabic?

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Yes — RTL is a first-class field in the discovery protocol. When set, the recommender returns RTL-aware layouts, mirrored animation contracts (a right-to-left slide-in becomes left-to-right), locale-correct number formatting, and font choices that have full Arabic glyph coverage.

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This is dogfood: ux-skill's maker runs Dot, a MENA-first product where Arabic is the primary locale. The MENA brand pack (Careem, Talabat, Noon, Aramex, +24) ships in v2.2.

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Question 20
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Can it handle dark mode?

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Yes. Every brand spec encodes both a light and a dark variant. Dark mode is not an inverted-light fallback — each brand has explicit dark tokens, dark motion rules, and dark anti-patterns.

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The dark anti-patterns block the usual traps: #000-on-#000 contrast traps, neon overuse, glow-as-default, "just invert the lightness" color picks. Switch contexts mid-design with /ux-design --theme=dark.

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Question 21
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What stacks does it support?

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Generation output supports React + Tailwind, Vue + Tailwind, Svelte, vanilla HTML/CSS, and Astro out of the box. Pass the stack as a flag: /ux-design --stack=svelte.

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The anti-slop linter is stack-agnostic — it lints the rendered HTML/CSS output, not the source framework — so it works on any stack including ones not in the generator list. Swift, Kotlin, and Flutter generators are planned for v3.0.

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Question 22
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Can I add my own anti-pattern rule?

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Yes. Drop a YAML file in references/anti-patterns/ with a name, severity, regex or AST matcher, and a recommended-fix link. Open a PR if it's generally useful or keep it private to your repo.

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The manifest loader picks up any well-formed entry without a code change. If your rule fires false-positive on existing code, the linter offers a --baseline command to lock in current state before going strict.

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Question 23
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Can I add my own brand DESIGN.md spec?

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Yes. Add a DESIGN.md under references/brands/<your-brand>/ following the schema in the existing 72 specs (color tokens, type pairings, motion vocabulary, anti-patterns, dark variant).

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The recommender picks it up automatically. If your brand is general-purpose enough to help others, send a PR — the brand library grows by community contribution after the initial 72.

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Question 24
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Who built ux-skill?

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Laith Aljunaidy, solo founder of Dot — a MENA-first loyalty platform live at thedotwallet.com. ux-skill is the design discipline that runs every Dot screen, packaged so other builders can install it.

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Full story at /about.html. The short version: he was tired of opening a fresh Claude Code session and shipping landing pages with purple-to-blue gradients that the model wrote first.

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Question 25
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How do I get help or report a bug?

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File an issue at github.com/Laith0003/ux-skill/issues. Real bugs get triaged within a week. For open-ended questions, use GitHub Discussions.

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There is no Discord, no Slack, no Telegram, no email support queue. The open repo is the only channel and that's intentional — every reply lives in the open so the next person with the same question finds it via search.

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- Still curious? -

Install in 40 seconds, or read the compare table.

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The compare table is where most people land — scored ux-skill against the top 9 plugins on 10 dimensions, every cell filled with real data. The install is a single npx command.

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- Install ux-skill - See the compare table - Read the roadmap -
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- uxskill - -
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- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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- Étoiler sur GitHub - -
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- v3.1.0 · LE CERVEAU · EN DIRECT - MIT · PAS DE TÉLÉMÉTRIE · PAS DE LLM -
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Le cerveau qui livre un design qui ne semble pas généré.

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Un synthétiseur à 7 axes transforme n'importe quel brief en un langage de design unique, ancré à votre marque. Gratuit, MIT, compatible avec 17 outils de code IA.

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- pip install uxskill - Étoiler sur GitHub -
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Faites défiler↓
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- Ce que vous livrez chaque jour -

Votre IA livre le centroïde par défaut.

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Demandez à n'importe quel modèle de "construire une landing page". Vous obtenez la moyenne de toutes les pages qu'il a ingérées — en dix secondes, à chaque fois. Voici à quoi ressemble le centroïde.

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Crée-moi une landing page fintech.
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the slop
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D'accord. Je veux qu'elle nous ressemble à nous — pas à tout le monde.
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C'est là tout l'enjeu. Lisez la suite.the turn ↓
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Et si le modèle avait un cerveau de designer intégré ?

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Pas un modèle plus grand. Une couche déterministe qui compile un langage de design — chaleur, contraste, géométrie, typographie — au lieu de piocher dans le template le plus proche.

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Il compile un langage de design. Pas un template.

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Cinq étapes déterministes, du brief à la livraison.

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system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

Analyse le brief.

Secteur, audience, ambiance — analysés dans une entrée structurée, sans approximations.

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system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

Définit les sept axes.

Chaleur, contraste, densité, géométrie, formalité, mouvement, typographie — ajustés, puis émis sous forme de tokens.

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system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

Ancre à votre marque.

Couleur primaire extraite des pixels de votre logo — pas la couleur CSS nommée la plus proche.

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system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

Vérifie 152 anti-modèles.

En-têtes dégradés, trois cartes égales, verbes de remplissage — la compilation échoue ici.

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system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

Vérifie le mobile, pour de vrai.

Rendu en 360/390px réels dans Chrome headless. Le défilement horizontal échoue, pas vos utilisateurs.

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160 spécifications de marque réelles — comme des mots, pas des tampons.

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Le catalogue était autrefois un menu : choisissez Stripe, obtenez des tokens à la saveur Stripe. La v3 a tout changé — Stripe, Linear, Vercel, Ferrari, Anthropic deviennent le vocabulaire dont le moteur s'inspire, pour un rendu novateur à chaque appel. Déterministe, hors ligne, sans modèle en boucle.

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1,243  entrées structurées, interrogeables et référencées

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Le même moteur, le même rendu fidèle à la marque, partout.

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Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — une seule installation, aucune configuration par outil. Votre équipe garde son éditeur ; la base vient avec.

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Trois propriétés. Aucun concurrent n'a les trois.

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Même brief, même système. Pas de modèle dans le moteur, pas de télémétrie, fonctionne en avion.

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Couleur primaire issue des pixels de votre logo ; un niveau de fidélité strict refuse tout rendu non conforme à la marque.

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Rendu sur de vrais viewports 360 / 390px — le défilement horizontal fait échouer la compilation, pas vos utilisateurs.

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Une seule ligne. Puis codez.

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Pythonpip install uxskill
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Nodenpx uxskill@latest
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Sourcegithub.com/Laith0003/ux-skill
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[aperçu] uxskill v3.1 · déterministe · fidèle à la marque · validé mobile · hors ligne, sans LLM, sans télémétrie
- - - - - - diff --git a/landing/hi/index.html b/landing/hi/index.html deleted file mode 100644 index e70af8a..0000000 --- a/landing/hi/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — अपने AI कोड को जनरेटेड दिखने से रोकें। वाइब कोडिंग के लिए डिज़ाइन ब्रेन। - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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- v3.1.0 · ब्रेन · लाइव - MIT · कोई टेलीमेट्री नहीं · कोई LLM नहीं -
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वह ब्रेन जो ऐसा डिज़ाइन भेजता है जो जनरेटेड नहीं दिखता।

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एक 7-एक्सिस सिंथेसाइज़र किसी भी ब्रीफ को एक ताज़ा डिज़ाइन भाषा में बदल देता है, आपके ब्रांड से जुड़ा हुआ। मुफ़्त, MIT, 17 AI कोडिंग टूल्स में चलता है।

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स्क्रॉल करें↓
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आपका AI सेंट्रोइड डिफ़ॉल्ट रूप से भेजता है।

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किसी भी मॉडल से "एक लैंडिंग बनाएं" कहने पर। आपको हर उस पेज का औसत मिलता है जिसे उसने कभी भी ग्रहण किया है — दस सेकंड में, हर बार। सेंट्रोइड ऐसा दिखता है।

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मेरे लिए एक फिनटेक लैंडिंग पेज बनाएं।
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the slop
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ठीक है। मैं चाहता हूँ कि यह हम जैसा दिखे — हर किसी की तरह नहीं।
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यही पूरा काम है। आगे पढ़ें।the turn ↓
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क्या होगा अगर मॉडल में एक डिजाइनर का ब्रेन वायर्ड होता?

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कोई बड़ा मॉडल नहीं। एक नियतात्मक परत जो एक डिज़ाइन भाषा संकलित करती है — गर्माहट, कंट्रास्ट, ज्यामिति, टाइप — निकटतम टेम्पलेट तक पहुँचने के बजाय।

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-
- -
- एक क्रम, बिखरे हुए कार्ड नहीं -

यह एक डिज़ाइन भाषा संकलित करता है। एक टेम्पलेट नहीं।

-

पाँच नियतात्मक कदम, शुरू से शिप तक।

-
- -
system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

ब्रीफ पढ़ें।

उद्योग, दर्शक, मूड — एक संरचित इनटेक में पार्स किया गया, कोई अनुमान नहीं।

-
system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

सात एक्सिस सेट करें।

गर्माहट, कंट्रास्ट, घनत्व, ज्यामिति, औपचारिकता, गति, टाइप — ट्यून किया गया, फिर टोकन के रूप में उत्सर्जित किया गया।

-
system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

अपने ब्रांड से जोड़ें।

प्राथमिक रंग आपके लोगो के पिक्सल से लिया गया — निकटतम CSS नामित रंग से नहीं।

-
system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

152 एंटी-पैटर्न को लिंट करें।

ग्रेडिएंट हेडर, तीन समान कार्ड, फिलर वर्ब — यहाँ बिल्ड विफल हो जाता है।

-
system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

मोबाइल को सत्यापित करें, वास्तव में।

हेडलेस क्रोम में वास्तविक 360/390px पर रेंडर किया गया। हॉरिजॉन्टल स्क्रॉल विफल हो जाता है, आपके उपयोगकर्ता नहीं।

- - -
-
-
- - -
-
-
-
- कॉर्पस शब्दावली है -

160 वास्तविक ब्रांड स्पेसिफिकेशन्स — शब्दों के रूप में, स्टैम्प के रूप में नहीं।

-

कैटलॉग पहले एक मेनू हुआ करता था: Stripe चुनें, Stripe-फ्लेवर्ड टोकन प्राप्त करें। v3 ने इसे उलट दिया — Stripe, Linear, Vercel, Ferrari, Anthropic वह शब्दावली बन जाते हैं जिससे इंजन सार निकालता है, इसलिए हर कॉल पर आउटपुट नया होता है। नियतात्मक, ऑफ़लाइन, लूप में कोई मॉडल नहीं।

-

1,243  संरचित प्रविष्टियाँ, क्वेरी करने योग्य और क्रॉस-रेफरेंस की गई

-
-
- - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
-
-
-
- - -
-
-
-
- वहाँ चलता है जहाँ आप पहले से ही बनाते हैं -

वही इंजन, वही ब्रांड-सत्य आउटपुट, हर जगह।

-

Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — एक इंस्टॉल, प्रति-टूल कोई कॉन्फ़िग नहीं। आपकी टीम अपना एडिटर रखती है; आधार इसके साथ आता है।

-
-
- -
-
-
-
- - -
-
-
- यह क्यों आधार है -

तीन गुण। किसी भी प्रतियोगी के पास तीनों नहीं हैं।

-
-
-
- - नियतात्मक

वही ब्रीफ, वही सिस्टम। इंजन में कोई मॉडल नहीं, कोई टेलीमेट्री नहीं, एक विमान पर चलता है।

-
-
- - ब्रांड-सत्य

प्राथमिक रंग आपके लोगो के पिक्सल से; एक निष्ठा हार्ड फ्लोर किसी भी ऑफ-ब्रांड आउटपुट को विफल कर देता है।

-
-
- - मोबाइल-गेटेड

वास्तविक 360 / 390px व्यूपोर्ट पर रेंडर किया गया — हॉरिजॉन्टल स्क्रॉल बिल्ड को विफल कर देता है, आपके उपयोगकर्ताओं को नहीं।

-
-
- -
-
1,243
संरचित प्रविष्टियाँ
-
160
ब्रांड स्पेसिफिकेशन्स
-
152
एंटी-पैटर्न नियम
-
17
IDE इंटीग्रेशन
-
- -
- इंस्टॉल करें -

एक लाइन। फिर बनाएं।

-
-
-
Pythonpip install uxskill
-
Nodenpx uxskill@latest
-
स्रोतgithub.com/Laith0003/ux-skill
-
-
- pip install uxskill - GitHub पर स्टार करें -
-
-
- -
[preview] uxskill v3.1 · नियतात्मक · ब्रांड-सत्य · मोबाइल-गेटेड · ऑफ़लाइन, कोई LLM नहीं, कोई टेलीमेट्री नहीं
- - - - - - diff --git a/landing/id/index.html b/landing/id/index.html deleted file mode 100644 index 8975dd4..0000000 --- a/landing/id/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Hentikan kode AI Anda terlihat dihasilkan. Otak desain untuk vibe coding. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - -
- -
- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
-
- Beri Bintang di GitHub - -
- - - -
-
- - -
-
- v3.1.0 · OTAK · LANGSUNG - MIT · TANPA TELEMETRI · TANPA LLM -
-

Otak yang mengirimkan desain yang tidak terlihat dihasilkan.

-

Sebuah synthesizer 7-axis mengubah setiap brief menjadi bahasa desain yang segar, terikat pada merek Anda. Gratis, MIT, berjalan di 17 alat coding AI.

-
- pip install uxskill - Beri Bintang di GitHub -
-
Gulir↓
-
-
-
- - -
-
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- Hal yang Anda kirimkan setiap hari -

AI Anda mengirimkan sentroid secara default.

-

Minta model mana pun untuk "membangun landing." Anda mendapatkan rata-rata setiap halaman yang pernah diinputnya — dalam sepuluh detik, setiap saat. Inilah tampilan sentroid.

-
- - -
-
-
-
Buatkan saya halaman landing fintech.
-
the slop
-
Benar. Saya ingin terlihat seperti kami — bukan semua orang.
-
Itulah seluruh pekerjaannya. Baca terus. the turn ↓
-
-
-
-
-
- - - -
-
-
- -
- Perubahan -

Bagaimana jika model memiliki otak desainer terpasang?

-

Bukan model yang lebih besar. Lapisan deterministik yang menyusun bahasa desain — kehangatan, kontras, geometri, tipografi — alih-alih mencari template terdekat.

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- - -
- -
-
- -
- Satu urutan, bukan kartu yang tersebar -

Ini menyusun bahasa desain. Bukan template.

-

Lima langkah deterministik, mulai hingga pengiriman.

-
- -
system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

Baca briefnya.

Industri, audiens, suasana hati — diurai menjadi asupan terstruktur, tanpa tebak-tebakan.

-
system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

Atur tujuh sumbu.

Kehangatan, kontras, kepadatan, geometri, formalitas, gerakan, tipografi — disetel, lalu dipancarkan sebagai token.

-
system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

Terikat pada merek Anda.

Primer ditarik dari piksel logo Anda — bukan warna bernama CSS terdekat.

-
system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

Periksa 152 anti-pola.

Header gradien, tiga kartu yang sama, kata kerja pengisi — gagal dalam pembangunan di sini.

-
system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

Verifikasi seluler, secara nyata.

Dirender pada 360/390px nyata di headless Chrome. Gulir horizontal gagal, bukan pengguna Anda.

- - -
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-
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-
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- Korpus adalah kosakata -

160 spesifikasi merek nyata — sebagai kata-kata, bukan stempel.

-

Katalog dulunya adalah menu: pilih Stripe, dapatkan token rasa Stripe. v3 mengubahnya — Stripe, Linear, Vercel, Ferrari, Anthropic menjadi kosakata yang disaring oleh mesin, sehingga outputnya baru setiap panggilan. Deterministik, offline, tanpa model dalam lingkaran.

-

1,243  entri terstruktur, dapat ditanyakan, dan saling referensi

-
-
- - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
-
-
-
- - -
-
-
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- Berjalan di tempat Anda sudah membangun -

Mesin yang sama, output yang sama sesuai merek, di mana saja.

-

Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — satu instalasi, tanpa konfigurasi per-alat. Tim Anda mempertahankan editornya; dasarnya ikut serta.

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- - -
-
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- Mengapa ini adalah dasarnya -

Tiga properti. Tidak ada pesaing yang memiliki ketiganya.

-
-
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- - Deterministik

Brief yang sama, sistem yang sama. Tidak ada model di mesin, tanpa telemetri, berjalan di pesawat.

-
-
- - Sesuai merek

Primer dari piksel logo Anda; batas bawah fidelitas yang ketat menggagalkan output yang tidak sesuai merek.

-
-
- - Terverifikasi seluler

Dirender pada viewport 360 / 390px nyata — gulir horizontal menggagalkan pembangunan, bukan pengguna Anda.

-
-
- -
-
1,243
Entri terstruktur
-
160
Spesifikasi merek
-
152
Aturan anti-pola
-
17
Integrasi IDE
-
- -
- Instal -

Satu baris. Lalu bangun.

-
-
-
Pythonpip install uxskill
-
Nodenpx uxskill@latest
-
Sumbergithub.com/Laith0003/ux-skill
-
-
- pip install uxskill - Beri Bintang di GitHub -
-
-
- -
[preview] uxskill v3.1 · deterministik · sesuai merek · terverifikasi seluler · offline, tanpa LLM, tanpa telemetri
- - - - - - diff --git a/landing/index.html b/landing/index.html deleted file mode 100644 index bad8f4f..0000000 --- a/landing/index.html +++ /dev/null @@ -1,2749 +0,0 @@ - - - - - - - - - - uxskill — v3.0 The Brain. 7-axis design synthesizer for AI coding. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - -
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- v3.0.0 · THE BRAIN · LIVE - MIT · no telemetry · no LLM -
-

- The brain that ships
- design that
- doesn’t look generated. -

-

- v3.0 is here. A 7-axis synthesizer turns any brief into a fresh design language. 160 brand specs become training data, not templates. The recommender re-ranks from a local decisions ledger that learns from your work. Runs in Claude Code, Cursor, Windsurf and 14 more IDEs. Same brief always ships the same output. Offline. Deterministic. No LLM in the engine. -

-
- - - pip install uxskill - - - - See it work - -
-
-
-
1,243
-
Structured entries
-
-
-
160
-
Brand DESIGN.md specs
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-
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145
-
Anti-pattern rules
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17
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IDE integrations
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- - - - - -
-
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- 01 · The problem you ship every day -

- You vibe code in Claude Code or Cursor.
- Your AI ships slop by default. -

-

- Ask the model to "build a fintech landing." You get the same five tells inside ten seconds. Purple-to-blue gradients. Three equal cards. Inter at display size. John Doe in the testimonial. Bouncing arrow CTA. Centered hero. 300ms ease-in-out on every transition. The output is technically correct and visually disposable. -

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- -
-
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The fingerprint
-
Five tells, ten seconds.
-
    -
  • Purple → blue 135° gradient
    • -
  • Three equal cards in a row
    • -
  • "Lorem ipsum dolor sit amet"
    • -
  • "John Doe" / "Jane Doe" testimonial
    • -
  • Inter 96px hero, centered
    • -
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-
-
Why it happens
-
The model improvises.
-

- The assistant has read every design system on GitHub. It has no idea which one fits your brief. It defaults to the centroid — the average of every SaaS site it ever ingested. The result reads as generated within seconds. Your domain, your industry, your customers — none of it influences the output. -

-
-
-
The cost
-
Trust erodes on first paint.
-

- Investors flag it. Customers click away. Designers refuse to touch it. You ship faster but the shape of what you shipped is generic. A year of vibe coding leaves a portfolio that all looks the same. The velocity feels free until the brand bill comes due. -

-
-
- -
- -

- What if your AI assistant had a designer's brain wired up next to it — a brain that knew which design language fits your brief, refused the slop fingerprints before commit, and learned from every shipped output? -

-

That's v3.0. Keep scrolling.

-
-
-
- - - - - -
-
-
- 02 — The architecture -

- Brand specs are training data,
- not templates. -

-

- The catalogue used to be a menu. Pick Stripe, get Stripe-flavored tokens. v3.0 turns that on its head: the 160 brand specs become vocabulary the engine distills from. Output is novel every call. -

-
- -
-
- Before v3 · the catalogue picks -

Recommender returns a brand specimen.

-

- match_brand(brief) → stripe
- You ship Stripe tokens. Or you fork them. Either way, the system has nothing new to say. -

-
-
- After v3 · the brain distills -

Synthesizer compiles a fresh design language.

-

- synthesize(brief) → novel tokens
- Same brief, same output, every time. Different brief, different system. The catalogue is now the corpus. -

-
-
-
-
- - -
-
-
- 03 — The 7 axes -

- Seven values.
- One design language. -

-

- Briefs map deterministically to seven axis values. Axis values compile to palette, type, spacing, radius, and motion tokens. Same brief always yields the same output. -

-
- -
-
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Warmth0.40
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CoolWarm
-
compiles to --canvas, --ink
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Contrast1.00
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QuietLoud
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compiles to scale ratio, weights
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Density0.70
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AiryDense
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compiles to --s-1..--s-7
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Geometry0.30
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SharpSoft
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compiles to --r-sm..--r-xl
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Formality0.60
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CasualFormal
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compiles to tracking, line-height
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Motion0.75
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StillKinetic
-
compiles to --ease, --t-fast
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-
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Type personality0.80
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NeutralHumanist
-
compiles to display, body pair
-
-
-
-
- - -
-
-
- 04 — The three modes -

- Three modes.
- Auto-dispatched. -

-

- The synthesizer picks its own mode based on whether you anchored to a named brand. Strict for exact replication, anchor for guided variation, pure for infinity space. -

-
- -
-
- Mode 01 · fastest -
strict_brand
-

100% named brand · verbatim

-

- Anchor on a named brand with strict=True. 100% Stripe tokens, no axis adaptation. Fastest path. For when you know exactly what you want and the brief is "give me Stripe." -

- 
reference_brands=["stripe"]
-strict=True
-
-
- Mode 02 · the sweet spot -
brand_anchor
-

70% named · 30% axis adaptation

-

- Anchor on a named brand, then bend it toward the brief's axis values using four sibling brands as additional vocabulary. The variation that still smells like Stripe but feels like yours. -

- 
reference_brands=["stripe"]
-tone=["warm","editorial"]
-
-
- Mode 03 · infinity space -
pure_synthesis
-

0% named · 100% axes

-

- No brand named. The synthesizer picks 8 axis-matching exemplars from the catalogue and distills them into a novel design language. No single brand copied; their shared vocabulary harvested. -

- 
industry="developer-tools"
-tone=["bold","editorial"]
-
-
-
-
- - -
-
-
- 05 — The intelligence loop -

- The brain learns
- from itself. -

-

- Every call writes to .ux/decisions.jsonl. The recommender re-ranks future candidates by your past wins in the same industry plus UI-type bucket. Cold-start safe. Local only. -

-
- -
-
-
brief
-
axes
-
exemplars
-
vocabulary
-
tokens
-
output
-
lint score
-
ledger
-
re-rank
-
-

- The intelligence loop is now closed. Only decisions with lint_score ≥ 80 and user_accepted = true count toward future re-ranking. Your install gets sharper for the work you actually ship. -

-
-
-
- - -
-
-
- 06 — The dogfood -

- This page was synthesized
- by v3.0 itself. -

-

- We ran the synthesizer on a brief that describes this page. The tokens it emitted power what you are reading right now. The brain ships its own marketing. -

-
- -
-
- The brief - 
industry      = "developer-tools"
-tone          = ["bold", "editorial",
-                 "kinetic", "humanist"]
-audience      = ["vibe-coder", "ai-builder"]
-must_have     = ["dark-mode"]
-forbidden     = ["playful", "rounded"]
- Mode dispatched -

pure_synthesis

-
- -
- The 7 axis values -
- warmth0.40 - contrast1.00 - density0.70 - geometry0.30 - formality0.60 - motion0.75 - type_personality0.80 -
- Source exemplars (8) -

- audi, bentley, bmw, bmw-m, bugatti,
- ferrari, lamborghini, mclaren -

-
- -
- Synthesized palette -
-
-
- #424448 - canvas -
-
-
- #c0c2c6 - ink -
-
-
- #987d86 - primary -
-
-
- #9a9ca0 - body -
-
-
- -
- Synthesized type pair -
-

Bricolage Grotesque

-

Inter for body. Both ship via Google Fonts. The display face here on this page is exactly what came out of the synthesizer.

-

JetBrains Mono · for code · ratio 1.333

-
-
- -
- Mini-component — rendered in the synthesized palette as the brain emitted it -
-
- Card title - 07 -
-

This card uses the literal token values from the synthesize() call: canvas #424448, ink #c0c2c6, body #9a9ca0, primary #987d86. Radius 7px. Spacing scale 4-8-12-20-32-52-84.

- View token output -
-
-
- -

- These are the actual tokens that powered this page. The brain ships its own marketing. The brief and output are in the HTML source as a comment at the top of the file. -

-
-
- - -
-
-
- 07 — Why this is the floor -

- Three properties.
- No competitor has all three. -

-
- -
-
- 01 -
Offline.
-

- Runs on a plane. No API key. No vendor lock-in. The 1,243 entries, 145 rules, 160 brand specs, and the synthesizer all live inside the Python wheel. Air-gapped repos can ship it. -

-
-
- 02 -
Deterministic.
-

- Same brief always produces the same tokens. Every sort has an explicit tiebreaker. Reproducible across machines, file systems, Python versions. Diffing two synth runs is meaningful. -

-
-
- 03 -
Self-learning.
-

- Every call writes to .ux/decisions.jsonl. The recommender re-ranks future candidates from your past wins. No telemetry. Your install gets sharper for your work, not aggregate slop. -

-
-
-
-
- - - - - -
-
-
-
- 08 — For vibe coders -

- If you ship by feel,
- the brain is your floor. -

-

- You prompt an assistant. It returns code. The CSS is generic. The hierarchy is flat. The palette is the default Tailwind ten. You ship anyway, because the alternative is hand-tuning a thousand tokens. -

-

- uxskill sits between you and the assistant. The brief becomes a synthesized design language before code is written. The linter catches the slop before commit. The ledger remembers what worked. You stay vibe; the floor stays high. -

-
-
- - - A maker at a screen, four in the morning. The session writes the JSX. The shape gets earned. - -
-
-
-
- - -
-
-
- 09 — The catalogue -

- 1,243 entries.
- Browse the corpus. -

-
- -
- -
160
- Brand DESIGN.md specs -

Apple, Stripe, Linear, Vercel, Ferrari, Anthropic. Full palettes, typography, voice. JSON for queries, prose for context.

- Browse brands · - - -
145
- Anti-pattern rules -

Deterministic regex. Sub-50ms scan on 10K lines. Catches placeholder text, default Tailwind palettes, A11y skips, marketing buzzwords.

- Browse rules · - - -
3.0
- Read the launch post -

The full architecture writeup. Why brand specs became training data. Why the synthesizer is deterministic. Why the ledger closes the loop.

- Read the launch · - -
-
-
- - -
-
-

- Install in 60 seconds. -

-

- Pick the runtime that fits where you live. The Python wheel is the engine; the npm wrapper invokes it from Node hosts; the Claude marketplace installs the slash commands and sub-agents directly. -

-
-
- $ pip install uxskill - -
-
- $ npx uxskill init - -
-
- $ claude plugin install uxskill - -
-
-

- Open source · MIT · No telemetry · No LLM · Star on GitHub -

-
-
- -
- - - - - - - - diff --git a/landing/it/index.html b/landing/it/index.html deleted file mode 100644 index e6581e4..0000000 --- a/landing/it/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Basta codice AI dall'aspetto generico. Il cervello del design per il vibe coding. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - -
- -
- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
-
- Star su GitHub - -
- - - -
-
- - -
-
- v3.1.0 · IL CERVELLO · LIVE - MIT · NESSUNA TELEMETRIA · NESSUN LLM -
-

Il cervello che realizza design che non sembrano generati.

-

Un sintetizzatore a 7 assi trasforma ogni brief in un linguaggio di design fresco, ancorato al tuo brand. Gratuito, MIT, funziona in 17 AI coding tools.

-
- pip install uxskill - Star su GitHub -
-
Scorri↓
-
-
-
- - -
-
-
- Ciò che consegni ogni giorno -

La tua AI consegna il centroide per impostazione predefinita.

-

Chiedi a qualsiasi modello di "build a landing." Otterrai la media di ogni pagina che ha mai 'digerito' — in dieci secondi, ogni volta. Ecco come appare il centroide.

-
- - -
-
-
-
Crearmi una landing page fintech.
-
the slop
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Giusto. Voglio che assomigli a noi — non a tutti gli altri.
-
È proprio questo il lavoro. Continua a leggere.the turn ↓
-
-
-
-
-
- - - -
-
-
- -
- La svolta -

E se il modello avesse un cervello da designer integrato?

-

Non un modello più grande. Uno strato deterministico che compila un linguaggio di design — calore, contrasto, geometria, tipografia — invece di ricorrere al template più vicino.

-
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-
- - -
- -
-
- -
- Una sequenza, non schede sparse -

Compila un linguaggio di design. Non un template.

-

Cinque passaggi deterministici, dall'inizio alla consegna.

-
- -
system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

Leggi il brief.

Settore, pubblico, atmosfera — analizzati in un input strutturato, senza improvvisazioni.

-
system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

Imposta sette assi.

Calore, contrasto, densità, geometria, formalità, movimento, tipografia — calibrati, poi emessi come token.

-
system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

Ancora al tuo brand.

Il colore primario estratto dai pixel del tuo logo — non dal colore CSS più vicino.

-
system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

Rileva 152 anti-pattern.

Header sfumati, tre schede identiche, verbi riempitivi — qui il build fallisce.

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system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

Verifica il mobile, davvero.

Renderizzato a 360/390px reali in Chrome headless. Lo scroll orizzontale fallisce il build, non i tuoi utenti.

- - -
-
-
- - -
-
-
-
- Il corpus è vocabolario -

160 specifiche di brand reali — come parole, non timbri.

-

Il catalogo era un menù: scegli Stripe, ottieni token in stile Stripe. La v3 ha ribaltato tutto — Stripe, Linear, Vercel, Ferrari, Anthropic diventano il vocabolario da cui il motore distilla, così l'output è sempre originale. Deterministico, offline, nessun modello coinvolto.

-

1,243  input strutturati, interrogabili e con riferimenti incrociati

-
-
- - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
-
-
-
- - -
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- Funziona dove già sviluppi -

Lo stesso motore, lo stesso output fedele al brand, ovunque.

-

Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — una sola installazione, nessuna configurazione per tool. Il tuo team mantiene il suo editor; lo standard è incluso.

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-
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- Perché è lo standard minimo -

Tre proprietà. Nessun concorrente le ha tutte e tre.

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- - Deterministico

Stesso brief, stesso sistema. Nessun modello nel motore, nessuna telemetria, funziona anche su un aereo.

-
-
- - Fedele al brand

Primario dai pixel del tuo logo; uno standard di fedeltà intransigente blocca qualsiasi output non in linea con il brand.

-
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- - Mobile-first garantito

Renderizzato su viewport reali di 360 / 390px — lo scroll orizzontale fa fallire il build, non i tuoi utenti.

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1,243
Input strutturati
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160
Specifiche di brand
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152
Regole anti-pattern
-
17
Integrazioni IDE
-
- -
- Installa -

Una riga. Poi costruisci.

-
-
-
Pythonpip install uxskill
-
Nodenpx uxskill@latest
-
Sorgentegithub.com/Laith0003/ux-skill
-
-
- pip install uxskill - Star su GitHub -
-
-
- -
[preview] uxskill v3.1 · deterministico · fedele al brand · mobile-first garantito · offline, nessun LLM, nessuna telemetria
- - - - - - diff --git a/landing/ja/index.html b/landing/ja/index.html deleted file mode 100644 index 6329898..0000000 --- a/landing/ja/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — AIコードが生成されたように見えるのをやめる。バイブコーディングのためのデザイン脳。 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - -
- -
- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
-
- GitHubでスターを付ける - -
- - - -
-
- - -
-
- v3.1.0 · 脳 · ライブ - MIT · テレメトリーなし · LLMなし -
-

生成されたように見えないデザインを出荷する脳。

-

7軸シンセサイザーが、あらゆるブリーフを新鮮なデザイン言語に変え、あなたのブランドに固定します。無料、MIT、17のAIコーディングツールで動作します。

-
- pip install uxskill - GitHubでスターを付ける -
-
スクロール↓
-
-
-
- - -
-
-
- 毎日出荷するもの -

あなたのAIは重心をデフォルトで出荷します。

-

どのモデルにも「ランディングページを構築して」と尋ねてください。取り込んだすべてのページの平均が得られます— 毎回10秒で。これが重心の見た目です。

-
- - -
-
-
-
フィンテックのランディングページを構築してください。
-
the slop
-
はい。私たちのように見せたいのです— 誰とも違うように。
-
それがすべての仕事です。読み進めてください。the turn ↓
-
-
-
-
-
- - - -
-
-
- -
- 転換点 -

もしモデルにデザイナーの脳が組み込まれていたら？

-

より大きなモデルではありません。最も近いテンプレートに手を伸ばすのではなく、デザイン言語をコンパイルする決定論的なレイヤーです— 温かみ、コントラスト、形状、タイプ —。

-
-
-
-
- - -
- -
-
- -
- 散らばったカードではなく、一つのシーケンス -

デザイン言語をコンパイルします。テンプレートではありません。

-

5つの決定論的なステップ、開始から出荷まで。

-
- -
system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

ブリーフを読み込む。

業界、オーディエンス、ムード— 推測なしで、構造化された入力として解析されます。

-
system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

7つの軸を設定する。

温かみ、コントラスト、密度、形状、フォーマリティ、動き、タイプ— チューニングされ、トークンとして出力されます。

-
system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

あなたのブランドに固定する。

プライマリカラーはロゴのピクセルから抽出されます— 最も近いCSSの名前付きカラーではありません。

-
system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

152のアンチパターンをLintする。

グラデーションヘッダー、3つの等しいカード、フィラー動詞— ここでビルドが失敗します。

-
system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

モバイルを実際に検証する。

ヘッドレスChromeで実際の360/390pxでレンダリングされます。横スクロールはユーザーではなく、ビルドを失敗させます。

- - -
-
-
- - -
-
-
-
- コーパスは語彙である -

160の実際のブランド仕様— スタンプではなく、言葉として。

-

カタログはかつてメニューでした：Stripeを選び、Stripe風味のトークンを得る。v3はそれを根本から変えました— Stripe、Linear、Vercel、Ferrari、Anthropicは、エンジンが抽出する語彙となり、そのため出力は呼び出しごとに斬新です。決定論的、オフライン、モデルは介在しません。

-

1,243  構造化されたエントリ、クエリ可能で相互参照可能

-
-
- - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
-
-
-
- - -
-
-
-
- あなたが既に構築している場所で動作する -

同じエンジン、同じブランドに忠実な出力、どこでも。

-

Claude Code、Cursor、Windsurf、Copilot、Gemini、Codex、Zed、JetBrains、Cline、Continue、Aider、Tabnine — 1回のインストールで、ツールごとの設定は不要。あなたのチームはエディターを使い続けられます。基準はそれに付随します。

-
-
- -
-
-
-
- - -
-
-
- これが基準となる理由 -

3つの特性。競合他社は3つすべてを持っていません。

-
-
-
- - 決定論的

同じブリーフ、同じシステム。エンジンにモデルはなく、テレメトリーもなし、飛行機内でも動作します。

-
-
- - ブランドに忠実

プライマリカラーはロゴのピクセルから。忠実度の厳格な基準が、ブランドから外れた出力をすべて失敗させます。

-
-
- - モバイル対応保証

実際の360 / 390pxビューポートでレンダリングされます— 横スクロールはユーザーではなく、ビルドを失敗させます。

-
-
- -
-
1,243
構造化されたエントリ
-
160
ブランド仕様
-
152
アンチパターンルール
-
17
IDE統合
-
- -
- インストール -

1行。そして構築。

-
-
-
Pythonpip install uxskill
-
Nodenpx uxskill@latest
-
ソースgithub.com/Laith0003/ux-skill
-
-
- pip install uxskill - GitHubでスターを付ける -
-
-
- -
[プレビュー] uxskill v3.1 · 決定論的 · ブランドに忠実 · モバイル対応保証 · オフライン、LLMなし、テレメトリーなし
- - - - - - diff --git a/landing/ko/index.html b/landing/ko/index.html deleted file mode 100644 index e570dd1..0000000 --- a/landing/ko/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — AI 코드가 생성된 것처럼 보이는 것을 멈추세요. 바이브 코딩을 위한 디자인 브레인. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- uxskill - -
- -
- English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
-
- GitHub에서 별표 - -
- - - -
-
- - -
-
- v3.1.0 · 더 브레인 · 라이브 - MIT · 원격 측정 없음 · LLM 없음 -
-

디자인을 제공하는 브레인 생성된 것처럼 보이지 않는.

-

7축 신디사이저가 모든 브리프를 신선한 디자인 언어로 변환하며, 귀하의 브랜드에 고정됩니다. 무료, MIT, 17가지 AI 코딩 도구에서 실행됩니다.

-
- pip install uxskill - GitHub에서 별표 -
-
스크롤↓
-
-
-
- - -
-
-
- 매일 출시하는 것 -

귀하의 AI는 중심점을 기본적으로 제공합니다.

-

어떤 모델이든 "랜딩 페이지를 만들어줘"라고 요청해 보세요. 모델이 흡수한 모든 페이지의 평균을 얻게 될 것입니다 — 매번 10초 안에. 중심점은 이렇게 생겼습니다.

-
- - -
-
-
-
핀테크 랜딩 페이지를 만들어줘.
-
the slop
-
맞아. 나는 우리처럼 보이길 원해 — 다른 모든 사람처럼이 아니라.
-
그것이 전체 작업입니다. 계속 읽어보세요. the turn ↓
-
-
-
-
-
- - - -
-
-
- -
- 전환 -

모델에 디자이너의 브레인이 내장되어 있다면 어떨까요?

-

더 큰 모델이 아닙니다. 디자인 언어를 컴파일하는 결정론적 레이어입니다 — 따뜻함, 대비, 기하학, 서체 — 가장 가까운 템플릿을 찾는 대신.

-
-
-
-
- - -
- -
-
- -
- 하나의 시퀀스, 흩어진 카드가 아닙니다 -

디자인 언어를 컴파일합니다. 템플릿이 아닙니다.

-

다섯 가지 결정론적 단계, 시작부터 출시까지.

-
- -
system.tokens.css
/* reading brief... */
--industry:'fintech'
--audience:'design-engineers'
--mood:'precise, calm'
01

브리프를 읽습니다.

산업, 대상, 분위기 — 구조화된 입력으로 파싱되어, 추측할 필요가 없습니다.

-
system.tokens.css
/* synthesizing axes... */
--warmth:0.28
--contrast:0.91
--density:0.44
--formality:0.78
02

7가지 축을 설정합니다.

따뜻함, 대비, 밀도, 기하학, 형식성, 움직임, 서체 — 조정된 후, 토큰으로 방출됩니다.

-
system.tokens.css
/* anchoring brand... */
--canvas:#f6f7f9
--ink:#10131a
--accent:#5b9cff
--radius:10px
03

귀하의 브랜드에 고정합니다.

기본 색상은 로고의 픽셀에서 추출됩니다 — 가장 가까운 CSS 명명 색상이 아닙니다.

-
system.tokens.css
--display:'Bricolage Grotesque'
--body-font:'Inter'
/* linting 152 rules... */
/* 0 violations */
04

152개 안티패턴을 린트합니다.

그라디언트 헤더, 세 개의 동일한 카드, 채움 동사 — 여기서 빌드가 실패합니다.

-
system.tokens.css
/* verifying 360px... */
/* h-scroll: none */
/* sticky: 56px ok */
/* verified ok */
05

모바일을 실제로 검증합니다.

헤드리스 Chrome에서 실제 360/390px로 렌더링됩니다. 가로 스크롤은 빌드를 실패시키지, 사용자를 실패시키지 않습니다.

- - -
-
-
- - -
-
-
-
- 코퍼스는 어휘입니다 -

160개 실제 브랜드 사양 — 단어로, 스탬프가 아닌.

-

카탈로그는 메뉴였습니다: Stripe를 선택하면 Stripe 맛 토큰을 얻었습니다. v3는 이를 뒤집었습니다 — Stripe, Linear, Vercel, Ferrari, Anthropic은 엔진이 추출하는 어휘가 되어, 모든 호출에서 출력이 새롭습니다. 결정론적, 오프라인, 루프에 모델 없음.

-

1,243  구조화된 항목, 쿼리 가능하며 상호 참조됨

-
-
- - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
-
-
-
- - -
-
-
-
- 이미 구축하는 곳에서 실행됩니다 -

동일한 엔진, 동일한 브랜드에 충실한 출력, 어디에서나.

-

Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — 한 번 설치, 도구별 구성 없음. 귀하의 팀은 편집기를 유지합니다; 기본 기능은 함께 제공됩니다.

-
-
- -
-
-
-
- - -
-
-
- 이것이 왜 기본인지 -

세 가지 속성. 어떤 경쟁자도 세 가지를 모두 가지고 있지 않습니다.

-
-
-
- - 결정론적

동일한 브리프, 동일한 시스템. 엔진에 모델 없음, 원격 측정 없음, 비행기에서도 실행됩니다.

-
-
- - 브랜드에 충실한

로고 픽셀에서 추출된 기본 색상; 충실도 하드 플로어는 브랜드에 맞지 않는 모든 출력을 실패시킵니다.

-
-
- - 모바일 검증된

실제 360 / 390px 뷰포트에서 렌더링됩니다 — 가로 스크롤은 빌드를 실패시키지, 사용자를 실패시키지 않습니다.

-
-
- -
-
1,243
구조화된 항목
-
160
브랜드 사양
-
152
안티패턴 규칙
-
17
IDE 통합
-
- -
- 설치 -

한 줄. 그리고 빌드.

-
-
-
Pythonpip install uxskill
-
Nodenpx uxskill@latest
-
소스github.com/Laith0003/ux-skill
-
-
- pip install uxskill - GitHub에서 별표 -
-
-
- -
[preview] uxskill v3.1 · 결정론적 · 브랜드에 충실한 · 모바일 검증된 · 오프라인, LLM 없음, 원격 측정 없음
- - - - - - diff --git a/landing/launch/social/facebook-ar.html b/landing/launch/social/facebook-ar.html deleted file mode 100644 index c0fce14..0000000 --- a/landing/launch/social/facebook-ar.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - ux-skill — facebook 1080 - - - - - - - - - -
-
- ux - v1.5 · MIT · for Claude Code -
- -
-
Open source · plugin for Claude Code
-

- اللي بيطلع من الـ AI،
- طلع يشبه بعض. -

-

- إضافة ux-skill بتمنع Claude Code من إنه يطلّع نفس الشكل كل مرة. - فاحص للـ AI slop، بروتوكول اكتشاف إلزامي، و72 مواصفة بصرية - لشركات حقيقية — Apple، Stripe، Linear، وغيرهم. -

-
- -
- 
$ /plugin marketplace add https://github.com/Laith0003/ux-skill.git
-$ /plugin install ux@ux-skill
-
-
live demo
-
uxskill.laithjunaidy.com
-
-
-
- - diff --git a/landing/launch/social/facebook-en.html b/landing/launch/social/facebook-en.html deleted file mode 100644 index 90c832c..0000000 --- a/landing/launch/social/facebook-en.html +++ /dev/null @@ -1,209 +0,0 @@ - - - - - - - - ux-skill — facebook 1080 EN - - - - - - - - - -
-
- ux - v1.5 · MIT · for Claude Code -
- -
-
Open source · plugin for Claude Code
-

- AI design
- has fingerprints. -

-

- ux-skill is a Claude Code plugin that catches them — automatically. - Deterministic anti-slop linter, mandatory 10-field discovery, 18 slash commands, - and 72 real brand specs (Apple, Stripe, Linear, Figma, Tesla, and 67 more). -

-
- -
- 
$ /plugin marketplace add Laith0003/ux-skill
-$ /plugin install ux@ux-skill
-
-
live demo
-
uxskill.laithjunaidy.com
-
-
-
- - diff --git a/landing/logos/anthropic.svg b/landing/logos/anthropic.svg deleted file mode 100644 index 7aab0ac..0000000 --- a/landing/logos/anthropic.svg +++ /dev/null @@ -1 +0,0 @@ -Anthropic \ No newline at end of file diff --git a/landing/logos/apple.svg b/landing/logos/apple.svg deleted file mode 100644 index 75acb13..0000000 --- a/landing/logos/apple.svg +++ /dev/null @@ -1 +0,0 @@ -Apple \ No newline at end of file diff --git a/landing/logos/bmw.svg b/landing/logos/bmw.svg deleted file mode 100644 index f15ad9d..0000000 --- a/landing/logos/bmw.svg +++ /dev/null @@ -1 +0,0 @@ -BMW \ No newline at end of file diff --git a/landing/logos/discord.svg b/landing/logos/discord.svg deleted file mode 100644 index be45274..0000000 --- a/landing/logos/discord.svg +++ /dev/null @@ -1 +0,0 @@ -Discord \ No newline at end of file diff --git a/landing/logos/ferrari.svg b/landing/logos/ferrari.svg deleted file mode 100644 index dad5ab9..0000000 --- a/landing/logos/ferrari.svg +++ /dev/null @@ -1 +0,0 @@ -Ferrari \ No newline at end of file diff --git a/landing/logos/figma.svg b/landing/logos/figma.svg deleted file mode 100644 index 8b2e765..0000000 --- a/landing/logos/figma.svg +++ /dev/null @@ -1 +0,0 @@ -Figma \ No newline at end of file diff --git a/landing/logos/framer.svg b/landing/logos/framer.svg deleted file mode 100644 index 775e7a5..0000000 --- a/landing/logos/framer.svg +++ /dev/null @@ -1 +0,0 @@ -Framer \ No newline at end of file diff --git a/landing/logos/github.svg b/landing/logos/github.svg deleted file mode 100644 index 775adcc..0000000 --- a/landing/logos/github.svg +++ /dev/null @@ -1 +0,0 @@ -GitHub \ No newline at end of file diff --git a/landing/logos/instagram.svg b/landing/logos/instagram.svg deleted file mode 100644 index 4aa7e8f..0000000 --- a/landing/logos/instagram.svg +++ /dev/null @@ -1 +0,0 @@ -Instagram \ No newline at end of file diff --git a/landing/logos/linear.svg b/landing/logos/linear.svg deleted file mode 100644 index 5f4f241..0000000 --- a/landing/logos/linear.svg +++ /dev/null @@ -1 +0,0 @@ -Linear \ No newline at end of file diff --git a/landing/logos/nike.svg b/landing/logos/nike.svg deleted file mode 100644 index 59d5c9c..0000000 --- a/landing/logos/nike.svg +++ /dev/null @@ -1 +0,0 @@ -Nike \ No newline at end of file diff --git a/landing/logos/notion.svg b/landing/logos/notion.svg deleted file mode 100644 index 86ee23f..0000000 --- a/landing/logos/notion.svg +++ /dev/null @@ -1 +0,0 @@ -Notion \ No newline at end of file diff --git a/landing/logos/npm.svg b/landing/logos/npm.svg deleted file mode 100644 index 0b4f47c..0000000 --- a/landing/logos/npm.svg +++ /dev/null @@ -1 +0,0 @@ -npm \ No newline at end of file diff --git a/landing/logos/pinterest.svg b/landing/logos/pinterest.svg deleted file mode 100644 index 419c8cc..0000000 --- a/landing/logos/pinterest.svg +++ /dev/null @@ -1 +0,0 @@ -Pinterest \ No newline at end of file diff --git a/landing/logos/posthog.svg b/landing/logos/posthog.svg deleted file mode 100644 index 445259b..0000000 --- a/landing/logos/posthog.svg +++ /dev/null @@ -1 +0,0 @@ -PostHog \ No newline at end of file diff --git a/landing/logos/pypi.svg b/landing/logos/pypi.svg deleted file mode 100644 index f265619..0000000 --- a/landing/logos/pypi.svg +++ /dev/null @@ -1 +0,0 @@ -PyPI \ No newline at end of file diff --git a/landing/logos/python.svg b/landing/logos/python.svg deleted file mode 100644 index 2ee7418..0000000 --- a/landing/logos/python.svg +++ /dev/null @@ -1 +0,0 @@ -Python \ No newline at end of file diff --git a/landing/logos/raycast.svg b/landing/logos/raycast.svg deleted file mode 100644 index 790e774..0000000 --- a/landing/logos/raycast.svg +++ /dev/null @@ -1 +0,0 @@ -Raycast \ No newline at end of file diff --git a/landing/logos/resend.svg b/landing/logos/resend.svg deleted file mode 100644 index 83d7724..0000000 --- a/landing/logos/resend.svg +++ /dev/null @@ -1 +0,0 @@ -Resend \ No newline at end of file diff --git a/landing/logos/spotify.svg b/landing/logos/spotify.svg deleted file mode 100644 index e5cafb0..0000000 --- a/landing/logos/spotify.svg +++ /dev/null @@ -1 +0,0 @@ -Spotify \ No newline at end of file diff --git a/landing/logos/stripe.svg b/landing/logos/stripe.svg deleted file mode 100644 index ac4ee66..0000000 --- a/landing/logos/stripe.svg +++ /dev/null @@ -1 +0,0 @@ -Stripe \ No newline at end of file diff --git a/landing/logos/supabase.svg b/landing/logos/supabase.svg deleted file mode 100644 index b9760e7..0000000 --- a/landing/logos/supabase.svg +++ /dev/null @@ -1 +0,0 @@ -Supabase \ No newline at end of file diff --git a/landing/logos/tiktok.svg b/landing/logos/tiktok.svg deleted file mode 100644 index 7726d78..0000000 --- a/landing/logos/tiktok.svg +++ /dev/null @@ -1 +0,0 @@ -TikTok \ No newline at end of file diff --git a/landing/logos/vercel.svg b/landing/logos/vercel.svg deleted file mode 100644 index fd2a026..0000000 --- a/landing/logos/vercel.svg +++ /dev/null @@ -1 +0,0 @@ -Vercel \ No newline at end of file diff --git a/landing/logos/warp.svg b/landing/logos/warp.svg deleted file mode 100644 index 3bc64ab..0000000 --- a/landing/logos/warp.svg +++ /dev/null @@ -1 +0,0 @@ -Warp \ No newline at end of file diff --git a/landing/mcp.html b/landing/mcp.html deleted file mode 100644 index e500085..0000000 --- a/landing/mcp.html +++ /dev/null @@ -1,1321 +0,0 @@ - - - - - - - - - ux-skill MCP server — the design intelligence MCP for Claude Desktop, Cursor, Windsurf, any agent - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-
- - -
- MCP server · stdio · 14 tools · 2026 -

Design intelligence over Model Context Protocol.

-

- ux-skill ships a Model Context Protocol server. Any MCP-capable host — Claude Desktop, Cursor, Windsurf, generic agents — can call the recommender, the linter, and all eleven data manifests over stdio. No plugin install, no IDE lock-in, just a long-running daemon and 14 tools. -

- -
-
Why this exists
-

- Reaching design intelligence used to mean installing a plugin into the specific tool the plugin was written for. Claude Code plugins stay in Claude Code. Cursor rules stay in Cursor. The same recommender, the same linter, the same brand specs had to be re-wired for every host. The MCP server collapses that. One process. One protocol. Every host that speaks MCP gets the engine, identically. The recommender is deterministic, the linter is regex-grounded, and both come straight out of the same Python package as the slash commands — so an agent in a fresh repo can ask for the same Stripe-grade landing or fintech-dashboard system that a Claude Code session can. -

-
-
- - -
- The asymmetric position -

None of the top eight ship one. We do.

-

The competition is locked inside Claude Code's plugin runtime. The MCP server makes ux-skill reachable from any agent — even agents that have never heard of a Claude Code plugin.

- - - - - - - - - - - - - - - - - - -
PluginMCP serverEffective reach
ux-skillyes   ux-mcp over stdioClaude Desktop, Cursor, Windsurf, any MCP host, generic agents
ui-ux-pro-max-skillnoClaude Code only
open-designnoClaude Code only
taste-skillnoClaude Code only
huashu-designnoClaude Code only
stitch-skillsnoClaude Code only
nothing-design-skillnoClaude Code only
hallmarknoClaude Code only
material-3-skillnoClaude Code only
-

One server. Every host. That's the move.

-
- - -
- The catalogue -

Fourteen tools, one engine.

-

Each tool is a pure dict -> dict Python handler. Same code path the slash commands use; same data manifests; same deterministic recommender. The MCP layer is a thin stdio wrapper.

- - - - - - - - - - - - - - - - - - - - - -
ToolWhat it does
ux_recommendRun the 5-parallel-search recommender over a brief. Returns style, palette, type pair, motion presets, components, brand exemplars, anti-pattern guardrails, and a rationale line per lane.
ux_lintRun the 145-rule anti-AI-slop regex linter over file paths. Returns findings with rule id, severity, file, line, excerpt, and fix.
ux_stylesReturn all 84+ entries from data/styles.json — design philosophies with tokens.
ux_palettesReturn 176+ entries from data/palettes.json. Optional mode filter (light / dark).
ux_type_pairsReturn 70+ entries from data/type-pairs.json — display + body + mono pairings.
ux_componentsReturn 148+ entries from data/components.json. Optional category filter.
ux_industriesReturn 184+ entries from data/industries.json with style/palette/type biases per domain.
ux_motion_presetsReturn 57+ entries from data/motion-presets.json with easing, duration, stagger tokens.
ux_anti_patternsReturn 35+ entries from data/anti-patterns.json (the regex rules that drive the linter). Optional severity filter.
ux_brandsReturn 160 brand specs from data/brands/*.json (Apple, Stripe, Linear, Tesla, Notion, etc.). Optional category filter.
ux_landing_patternsReturn 24+ entries from data/landing-patterns.json — proven landing-page section patterns.
ux_persist_saveWrite a recommendation as .ux/design-system/MASTER.md in the given project root. Idempotent — same input writes byte-identical bytes.
ux_persist_loadLoad .ux/design-system/MASTER.md back into a structured dict, or report not-found.
ux_statsReturn the engine version and per-manifest entry counts. Useful as a health probe.
-
- - -
- Example calls -

What it actually does.

- -

ux_recommend — get a complete system from a brief

-
// Input
-{
-  "brief": {
-    "project_type": "landing",
-    "industry": "fintech-neobank",
-    "tone": ["warm", "editorial", "precise"],
-    "must_have": ["dark-mode", "a11y-AA"],
-    "forbidden": ["brutalism", "purple-gradients"],
-    "stack": "nextjs-15-app-router",
-    "region": "mena"
-  }
-}
-
-// Output (abridged)
-{
-  "style": { "id": "monochrome-precise", "name": "Monochrome Precise", ... },
-  "palette": { "id": "dark-editorial-cinema", "mode": "dark", ... },
-  "type_pair": { "id": "bricolage-inter-jetbrains", ... },
-  "motion": [ ... /* top 5 presets compatible with style */ ],
-  "components": [ ... /* top 12 compatible components */ ],
-  "brand_exemplars": [ ... /* top 5 brands to study */ ],
-  "guardrails": [ ... /* all 152 anti-pattern rules — always-on */ ],
-  "rationale": [
-    "Industry: Fintech Neobank",
-    "Style: Monochrome Precise",
-    "Palette: Dark Editorial Cinema",
-    ...
-  ]
-}
- -

ux_lint — anti-slop regex sweep across paths

-
// Input
-{ "paths": ["./app", "./components"], "threshold": "high" }
-
-// Output (abridged)
-{
-  "files_scanned": 142,
-  "rules_loaded": 35,
-  "exit_code": 1,
-  "findings": [
-    {
-      "rule_id": "generic-placeholder-copy",
-      "severity": "high",
-      "file": "./app/page.tsx",
-      "line": 42,
-      "excerpt": "<p>Your headline goes here.</p>",
-      "fix": "Write real copy that names the user value."
-    },
-    ...
-  ],
-  "summary": { "critical": 0, "high": 4, "medium": 7, "low": 12, "total": 23 }
-}
- -

ux_stats — engine health probe

-
// Input: {} ; Output:
-{
-  "version": "2.0.0-alpha.1",
-  "counts": {
-    "styles": 84, "palettes": 176, "type-pairs": 70,
-    "components": 148, "industries": 184, "chart-types": 35,
-    "tech-stacks": 25, "ux-guidelines": 112,
-    "motion-presets": 57, "anti-patterns": 35, "brands": 72
-  }
-}
-
- - -
- Client configuration -

Connect any MCP host in three lines.

-

The server is one binary: ux-mcp. Once installed, every MCP host points to it the same way.

- -
- -
-

Claude Desktop

-

~/Library/Application Support/Claude/claude_desktop_config.json

-
{
-  "mcpServers": {
-    "ux-skill": {
-      "command": "ux-mcp",
-      "args": [],
-      "env": {}
-    }
-  }
-}
-
- -
-

Cursor (project + global)

-

.cursor/mcp.json  or  ~/.cursor/mcp.json

-
{
-  "mcpServers": {
-    "ux-skill": {
-      "command": "ux-mcp"
-    }
-  }
-}
-

Then in .cursorrules: "When designing UI, call ux-skill MCP tools first: ux_recommend for the system, ux_lint to catch slop."

-
- -
-

Windsurf

-

~/.codeium/windsurf/mcp_config.json

-
{
-  "mcpServers": {
-    "ux-skill": {
-      "command": "ux-mcp"
-    }
-  }
-}
-
- -
-

Generic stdio client

-

any JSON-RPC over stdio host

-
# Spawn ux-mcp as a subprocess.
-# Write JSON-RPC frames to stdin.
-# Read responses from stdout.
-# Logs are on stderr only.
-
-$ ux-mcp
-# or, equivalently:
-$ python3 -m engine.mcp.server
-
- -
-
- - -
- How it's built -

Transport separated from handlers.

-

The 14 tools are pure dict -> dict Python functions in engine.mcp.server. The MCP stdio transport is an optional dependency that lazy-imports inside run_server(). Three consequences fall out:

-
    -
  • The engine.mcp module imports cleanly whether or not the mcp Python package is installed.
    • -
  • Tests exercise the handlers directly — no async event loop, no subprocess plumbing in the test suite.
    • -
  • ux-mcp fails fast with a clear pip install hint if the transport library is missing.
    • -
-

One source of truth, one entry point, every host.

-
- - -
- Install. Connect. Run. -

Three lines to design intelligence in any agent.

-

MIT licensed. No telemetry. No account. The MCP transport is opt-in so the base install stays slim.

- -
-
$ pip install 'uxskill[mcp]'
-
$ ux-mcp # starts the stdio server
-
— then point your MCP host at ux-mcp —
-
-
-
-
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zhzLq{QNBfgeEadMol0@fO3vmw&qju^Q^q1pRW&t*huy+3m#g5UoY?hQn3?(8H(R?@ zKJ-Ob4#r&GL&?jjbXvg3#jTLn_tB%rUE$3=1g!4uMLKxA!J-^bwA2V4tL)jV(%?eM0-#pEDOJB}>vN+{EkL^DZlyCz8 zrGQ=mJa)z1OxhtdWM1q%3Jn^>&_L9*a4ann6yn=vhB#d+>b&||s537$o`qvN z-)x_7Gs@gS&s$BoYUpiggGWwtXB1JtNFp1WE*mW~&ZDM;009Ug3JEk}Azl(%Z3kw_ zvWl`|DsZem3GXfjO+{OUIII;XFAcYRvE6R%yQqvFhQ^CnVVJa)PRtY>mC(r - - - -
      -
      - - - back to ux-skill - Legal -

      Privacy policy

      -

      Last updated: 2026-05-24

      - -

      The ux-skill plugin runs entirely on your machine. It does not phone home. It does not collect telemetry. It has no account system. The landing page is a static file served by GitHub Pages with no analytics, no tracking pixels, and no cookies from this domain.

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      The long version is below.

      - -

      Who maintains this

      -

      ux-skill is a personal open-source project maintained by Laith Aljunaidy. Contact: laith.aljunaidy.laith@gmail.com.

      - -

      The plugin

      -

      Data we collect from you

      -

      None. The plugin has no analytics, no telemetry, no usage metrics, no crash reports, no API keys, no phone-home checks, no "anonymous improvement data", no A/B testing.

      - -

      Network calls the plugin makes

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      None. The deterministic linter (/ux-lint) runs pure regex over local files. Generation commands run inside your Claude Code session; any LLM calls go through your own Claude Code authentication, not the plugin's.

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      If you find a network call you did not expect, that is a bug. Please file an issue.

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      Files the plugin reads

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      • Files in the project directory you point commands at (e.g. /ux-audit ./components/Hero.tsx).
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      • The plugin's own internal files — commands, sub-agents, references, brand specs.
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      • .ux/last-*.json state files written by the plugin's prior commands, so commands can chain.
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      - -

      Files the plugin writes

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      • .ux/last-frame.json, .ux/last-audit.json, .ux/last-design.json, etc. — local state for command chaining.
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      • Code files when you run generation commands like /ux-design, /ux-fix, /ux-component — at paths you have specified.
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      -

      All file reads and writes stay on your local filesystem. Nothing is transmitted off your machine.

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      The landing page

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      The landing at uxskill.laithjunaidy.com is a single self-contained HTML file served by GitHub Pages.

      - -

      What loads when you visit

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        -
      • The HTML file itself from GitHub's CDN.
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      • A small amount of JavaScript bundled into that file (Tailwind CSS, Alpine.js, and GSAP libraries delivered via public CDNs).
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      • Webfonts from Google Fonts (Bricolage Grotesque, Inter, JetBrains Mono). Google receives your IP for font delivery per Google's own privacy policy.
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      - -

      What we explicitly do NOT use

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      • No Google Analytics.
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      • No Plausible / Fathom / Umami / Heap / Mixpanel / any analytics.
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      • No tracking pixels.
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      • No cookies set by uxskill.laithjunaidy.com.
        • -
      • No third-party tracking scripts.
        • -
      • No A/B testing infrastructure.
        • -
      • No marketing-attribution tools.
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      • No advertising or retargeting scripts.
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      - -

      What GitHub Pages may log

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      GitHub may keep server-side access logs (IP, user agent, requested resource, timestamp) for its own operations and abuse prevention. We do not see or process these. See GitHub's privacy statement.

      - -

      What Google Fonts may log

      -

      When fonts load from fonts.googleapis.com and fonts.gstatic.com, Google receives the request URL, your IP, and the requested font file. We do not have control over this — it is part of how web fonts work. See Google's font privacy FAQ.

      - -

      Brand references

      -

      The plugin ships 160 brand DESIGN.md spec files as design references — Apple, Stripe, Linear, Notion, Figma, Tesla, BMW, and 83 others. These describe brand design languages for educational and reference purposes only. They are derived from publicly observable design patterns and publicly available brand guidelines. They do not include trademarks, logos, or proprietary assets owned by those brands.

      -

      If you are a rights-holder and believe a brand reference misrepresents your brand or includes content that should be removed, email laith.aljunaidy.laith@gmail.com and it will be addressed within 5 business days.

      - -

      Cookies

      -

      The landing page sets zero cookies. GitHub Pages may use cookies for its own operation; we do not set, read, or store any.

      - -

      Children's privacy

      -

      This service is not directed at children under 13. We do not knowingly collect data from anyone, including minors.

      - -

      Your data subject rights (GDPR, CCPA, etc.)

      -

      The plugin: there is no personal data on our side to access, correct, port, or delete. We do not have any.

      -

      The landing page: there is no account, no profile, no stored data on our side. The only data flowing related to you is the brief server-side access log GitHub keeps, which is out of our control.

      -

      Specific requests: laith.aljunaidy.laith@gmail.com.

      - -

      Changes

      -

      If this policy changes, the Last updated date at the top updates. Material changes will be announced in the repository's release notes.

      - -

      Contact

      -

      Laith Aljunaidy
      - Email: laith.aljunaidy.laith@gmail.com
      - LinkedIn: linkedin.com/in/laithaljunaidy
      - Repository: github.com/Laith0003/ux-skill

      -
      -
      - - - - - - - - diff --git a/landing/pt-BR/index.html b/landing/pt-BR/index.html deleted file mode 100644 index fc39bb9..0000000 --- a/landing/pt-BR/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Pare de fazer seu código de IA parecer gerado. O cérebro de design para codificação com vibe. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
      -
      - Marcar com estrela no GitHub - -
      - - - -
      -
      - - -
      -
      - v3.1.0 · O CÉREBRO · AO VIVO - MIT · SEM TELEMETRIA · SEM LLM -
      -

      O cérebro que entrega design que não parece gerado.

      -

      Um sintetizador de 7 eixos transforma qualquer briefing em uma linguagem de design nova, ancorada à sua marca. Grátis, MIT, funciona em 17 ferramentas de codificação de IA.

      -
      - pip install uxskill - Marcar com estrela no GitHub -
      -
      Rolar↓
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      -
      - - -
      -
      -
      - O que você entrega todos os dias -

      Sua IA entrega o centroide por padrão.

      -

      Peça a qualquer modelo para "construir uma landing page." Você obtém a média de cada página que ele já ingeriu — em dez segundos, todas as vezes. Veja como o centroide se parece.

      -
      - - -
      -
      -
      -
      Crie uma landing page de fintech para mim.
      -
      the slop
      -
      Certo. Quero que pareça conosco — não com todo mundo.
      -
      Esse é o trabalho completo. Continue lendo. the turn ↓
      -
      -
      -
      -
      -
      - - - -
      -
      -
      - -
      - A virada -

      E se o modelo tivesse um cérebro de designer conectado?

      -

      Não um modelo maior. Uma camada determinística que compila uma linguagem de design — calor, contraste, geometria, tipo — em vez de buscar o template mais próximo.

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      -
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      - - -
      - -
      -
      - -
      - Uma sequência, não cartões espalhados -

      Ele compila uma linguagem de design. Não um template.

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      Cinco etapas determinísticas, do início à entrega.

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      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      Leia o briefing.

      Indústria, público, humor — analisados em uma entrada estruturada, sem suposições.

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      Defina sete eixos.

      Calor, contraste, densidade, geometria, formalidade, movimento, tipo — ajustados, então emitidos como tokens.

      -
      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      Ancore à sua marca.

      Primária extraída dos pixels do seu logotipo — não a cor nomeada CSS mais próxima.

      -
      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      Verifique 152 anti-padrões.

      Cabeçalhos gradientes, três cartões iguais, verbos de preenchimento — falha na construção aqui.

      -
      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      Verifique o mobile, de verdade.

      Renderizado em 360/390px reais no Chrome headless. Rolagem horizontal falha, não seus usuários.

      - - -
      -
      -
      - - -
      -
      -
      -
      - O corpus é vocabulário -

      160 especificações de marca reais — como palavras, não carimbos.

      -

      O catálogo costumava ser um menu: escolha Stripe, obtenha tokens com sabor Stripe. a v3 virou isso de cabeça para baixo — Stripe, Linear, Vercel, Ferrari, Anthropic se tornam o vocabulário do qual o motor destila, então a saída é nova a cada chamada. Determinístico, offline, sem modelo no loop.

      -

      1,243  entradas estruturadas, consultáveis e com referências cruzadas

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      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
      -
      -
      - - -
      -
      -
      -
      - Funciona onde você já constrói -

      O mesmo motor, a mesma saída fiel à marca, em todo lugar.

      -

      Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — uma instalação, sem configuração por ferramenta. Sua equipe mantém seu editor; o piso vem com ele.

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      -
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      -
      - - -
      -
      -
      - Por que este é o piso -

      Três propriedades. Nenhum concorrente tem todas as três.

      -
      -
      -
      - - Determinístico

      Mesmo briefing, mesmo sistema. Sem modelo no motor, sem telemetria, funciona em um avião.

      -
      -
      - - Fiel à marca

      Primária dos pixels do seu logotipo; um piso rígido de fidelidade rejeita qualquer saída fora da marca.

      -
      -
      - - Com validação mobile

      Renderizado em viewports reais de 360 / 390px — rolagem horizontal falha na construção, não seus usuários.

      -
      -
      - -
      -
      1,243
      Entradas estruturadas
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      160
      Especificações de marca
      -
      152
      Regras anti-padrão
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      17
      Integrações IDE
      -
      - -
      - Instalar -

      Uma linha. Depois construa.

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      Fontegithub.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - Marcar com estrela no GitHub -
      -
      -
      - -
      [preview] uxskill v3.1 · determinístico · fiel à marca · com validação mobile · offline, sem LLM, sem telemetria
      - - - - - - diff --git a/landing/roadmap.html b/landing/roadmap.html deleted file mode 100644 index e60fae9..0000000 --- a/landing/roadmap.html +++ /dev/null @@ -1,1217 +0,0 @@ - - - - - - - - - ux-skill roadmap — v2.0 to v3.0 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      -
      - - - Roadmap · v2.0 → v3.0 · public · 2026–2027 -

      ux-skill roadmap — v2.0 to v3.0.

      -

      - Where we are, where we're headed, and what we will never build. Every release has a codename, a ship target, and a vote-on-this link so you can push the order of work. Dates are intent, not promise — this is a solo project with a real day job. If you want something faster, send a PR. -

      - -
      -
      -
      - v2.0.0-alpha.24 - "Forcing Function" -
      - Shipped · 2026-05-28 -
      -

      Now: the engine, the manifests, the linter, the IDE bridge.

      -

      - Everything ux-skill is named after. The Python engine reads nine manifests, the 5-parallel-search recommender returns a structured plan, the 22 slash-commands run inside Claude Code / Cursor / Windsurf / 14 other adapters, and the anti-slop linter blocks 35 fingerprints from ever reaching git add. -

      -

      What's in v2.0

      -
        -
      • 998 manifest entries across anti-patterns, generators, styles, components, brands, foundations, output formats, conditionals, processes
        • -
      • 22 slash-commands — /ux-design, /ux-component, /ux-system, /ux-audit, /ux-frame, /ux-dashboard, /ux-fix, /ux-copy, /ux-motion, /ux-a11y, and 12 more
        • -
      • 17 IDE adapters — Claude Code, Cursor, Windsurf, Copilot, Continue, Codeium, Cline, Roo Code, Aider, Cody, Tabnine, Supermaven, Zed AI, JetBrains AI, Augment, Pieces, Sourcegraph
        • -
      • 160 brand specs under references/brands/ — Apple, Stripe, Linear, Vercel, Notion, Airbnb, Figma, Replit, Anthropic, plus 63 more
        • -
      • 100 anti-slop linter rules — gradient regex, font-pair lockout, emoji detection, default-blue trap, three-tier pricing card flag, generic hero detection, 29 more
        • -
      • Discovery protocol — 10-field intake before any generation (banned: improvisation)
        • -
      - Read the release notes -
      - -
      -
      -
      - v2.1 - "Stoic" -
      - Planned · Q3 2026 -
      -

      Deepen the linter. Cross-wire the manifests. Add landing-patterns.

      -

      - v2.0 ships with 35 rules. v2.1 doubles down: 17 more rules pulled directly from the audit of the 50 landing pages I shipped this year that the model defaulted into something generic. Plus a new landing-patterns.yaml manifest with the 28 patterns we keep needing (hero variants, pricing variants, testimonial variants) and cross-reference wiring so a chosen brand auto-narrows the available components. -

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      Key features

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      • +17 anti-pattern rules — pulled from the May 2026 audit of 50 generic landings (grep findings: 14 purple gradients, 11 three-tier cards, 9 default-Inter pairs, 16 generic feature-icon grids)
        • -
      • landing-patterns.yaml — 28 patterns covering hero, pricing, testimonial, FAQ, CTA, footer variants with brand-locked recommendations
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      • Cross-reference wiring — choosing a brand from the 72-pack now auto-narrows valid components, valid type pairings, and valid motion patterns
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      • Linter performance pass — drop median run from 380ms to under 80ms; parallel rule eval
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      • Per-rule disable file — .uxskill.toml with rule-level opt-out and explanation requirement
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      - Vote on v2.1 priorities -
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      -
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      - v2.2 - "Polyglot" -
      - Planned · Q4 2026 -
      -

      Localize the README. Add an MCP server. Bridge to Figma.

      -

      - Open-design hit 54k stars partly because the README ships in 11 locales. ux-skill is currently English-only and that's a real disadvantage in MENA, China, Japan, Korea, Brazil. v2.2 fixes that. It also adds an MCP server so cross-tool memory (Cursor remembers what Claude Code generated yesterday) is real, and a Figma MCP bridge so design-token import becomes one command. -

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      Key features

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      • README in 11 locales — English, Arabic, Spanish, Portuguese, French, German, Russian, Chinese (Simplified), Japanese, Korean, Hindi
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      • MCP server (uxskill-mcp) — stateful memory of prior designs across Claude Code, Cursor, Windsurf sessions; canonical brand persists per-repo
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      • Figma MCP bridge — pull tokens from a Figma file into a brand spec; one-way sync; design system import in under 30 seconds
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      • RTL pass — every command flag-tested under dir="rtl"; mirrored animation contracts in motion-engineer agent
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      • Brand pack #2 — 28 MENA + APAC brands added to the brand library (Careem, Talabat, Noon, Aramex, GO-JEK, Grab, Lazada, +21)
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      - Vote on v2.2 priorities -
      - -
      -
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      - v2.3 - "Atelier" -
      - Planned · Q1 2027 -
      -

      Hi-fi prototype output. Local preview server. Motion MP4 export.

      -

      - huashu-design ships hi-fi prototype output and that's the only dimension where they outscore us. v2.3 closes it. We add a hi-fi mode that emits real component code (React, Vue, Svelte, vanilla) with frame-accurate motion specs, a local preview server on :4242 that watches and re-renders, and MP4 export of every motion spec so you can drop it in a deck. -

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      Key features

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      • Hi-fi output mode — /ux-design --fidelity hi emits production component code in React, Vue, Svelte, vanilla TS
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      • Local preview server — npx uxskill preview opens http://localhost:4242 with hot-reload of every generated artifact
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      • Motion MP4 export — every /ux-motion spec exports a 4-second loop MP4 + WebM for decks and docs
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      • Component library export — generated systems compile to a publishable npm package on demand
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      • Frame-accurate motion engine — sub-16ms GSAP timeline export; cubic-bezier per axis; no ease-in-out defaults
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      - Vote on v2.3 priorities -
      - -
      -
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      - v3.0 - "Mirror" -
      - Planned · Q2 2027 -
      -

      Real-time live preview. Image-to-code reverse bridge. Multi-language gen.

      -

      - The 1.0 of the next phase. Real-time means the preview server is no longer file-watched; the AI agent streams component diffs into the open browser tab as it generates. Image-to-code closes the loop: paste a screenshot of someone else's UI, get a ux-skill-clean rebuild of it (with the slop detected and removed). Multi-language adds Swift, Kotlin, and Flutter generators so the same brand spec lints native too. -

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      Key features

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      • Real-time live preview — agent streams diffs; preview repaints sub-second; no file-watch latency
        • -
      • Image-to-code bridge — paste a UI screenshot, get a brand-clean React + Tailwind rebuild with anti-pattern annotations
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      • Multi-language code gen — Swift (SwiftUI), Kotlin (Compose), Flutter, Jetpack Compose adapters
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      • Linter as language server — LSP integration so anti-pattern violations show inline in any editor that speaks LSP
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      • Public API — uxskill score <url> returns a JSON report; bring your own brand
        • -
      - Vote on v3.0 priorities -
      - -
      - Won't-do list -

      What we will never build.

      -

      Discipline shows in what you refuse. These are not "not yet" items — they are permanent no's. If a v3.5 ever ships any of these, I owe the community a public retraction.

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      • - Hosted SaaS - The whole point is that the engine runs on your machine. No remote server, no quota, no rate limit. -
        • -
      • - Paid tiers - No Pro plan, no premium brand pack, no commercial license. The manifest must stay open. -
        • -
      • - Account system - Nothing to sign up for. Ever. The CLI does not authenticate against any service. -
        • -
      • - Telemetry - No usage events, no error reporting, no anonymous IDs. Bug reports come from humans via GitHub. -
        • -
      • - AI image generation - ux-skill recommends; it does not synthesize. We will not call Midjourney or DALL-E from the CLI. -
        • -
      • - Video generation - Same. We may export specs to MP4 (v2.3) but we will never generate video content via a model. -
        • -
      • - Built-in analytics - We don't measure user behavior in your repo. The linter reports what's there; that's the only signal. -
        • -
      • - Vendor-specific lock-in - No "ux-skill only works in Claude Code." Every adapter ships at parity. Cursor and Windsurf are not second-class. -
        • -
      -
      -
      -
      - - - - - - - - diff --git a/landing/robots.txt b/landing/robots.txt deleted file mode 100644 index 6c66e6e..0000000 --- a/landing/robots.txt +++ /dev/null @@ -1,4 +0,0 @@ -User-agent: * -Allow: / - -Sitemap: https://uxskill.laithjunaidy.com/sitemap.xml diff --git a/landing/ru/index.html b/landing/ru/index.html deleted file mode 100644 index 0200a84..0000000 --- a/landing/ru/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Ваш AI-код больше не будет выглядеть сгенерированным. Дизайн-мозг для «вайб-кодинга». - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
      -
      - Star on GitHub - -
      - - - -
      -
      - - -
      -
      - v3.1.0 · МОЗГ · В ДЕЙСТВИИ - MIT · БЕЗ ТЕЛЕМЕТРИИ · БЕЗ LLM -
      -

      Мозг, который создаёт дизайн, не выглядящий сгенерированным.

      -

      7-осевой синтезатор превращает любой бриф в свежий дизайн-язык, привязанный к вашему бренду. Бесплатно, MIT, работает в 17 AI-инструментах для кодинга.

      -
      - pip install uxskill - Star on GitHub -
      -
      Прокрутить↓
      -
      -
      -
      - - -
      -
      -
      - Ваш ежедневный результат -

      Ваш AI по умолчанию выдаёт усреднённый результат.

      -

      Попросите любую модель «создать лендинг». Вы получите усреднённую версию каждой страницы, которую она когда-либо видела — за десять секунд, каждый раз. Вот как выглядит этот усреднённый результат.

      -
      - - -
      -
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      -
      Создай мне лендинг для финтеха.
      -
      the slop
      -
      Хорошо. Я хочу, чтобы он выглядел как мы — а не как все.
      -
      В этом и заключается вся работа. Читайте дальше.the turn ↓
      -
      -
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      - - - -
      -
      -
      - -
      - Поворот -

      Что, если бы в модель был встроен мозг дизайнера?

      -

      Не просто большая модель. Детерминированный слой, который компилирует дизайн-язык — теплота, контраст, геометрия, типографика — вместо того, чтобы брать ближайший шаблон.

      -
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      - - -
      - -
      -
      - -
      - Единая последовательность, а не разрозненные карточки -

      Он компилирует дизайн-язык. Не шаблон.

      -

      Пять детерминированных шагов, от идеи до релиза.

      -
      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      Читает бриф.

      Отрасль, аудитория, настроение — анализируются и превращаются в структурированные данные, без догадок.

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      Настраивает семь осей.

      Теплота, контраст, плотность, геометрия, формальность, движение, типографика — настраиваются, а затем преобразуются в токены.

      -
      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      Привязывается к вашему бренду.

      Основной цвет извлекается из пикселей вашего логотипа — а не из ближайшего именованного цвета CSS.

      -
      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      Проверяет 152 антипаттерна.

      Градиентные заголовки, три одинаковые карточки, шаблонные формулировки — здесь сборка не пройдёт.

      -
      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      Реальная проверка на мобильных.

      Рендеринг в реальном headless Chrome при 360/390px. Горизонтальная прокрутка приводит к ошибке сборки, а не к разочарованию пользователей.

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      - Корпус — это словарный запас -

      160 реальных бренд-спецификаций — как слова, а не штампы.

      -

      Раньше каталог был меню: выбираете Stripe, получаете токены в стиле Stripe. v3 перевернула это с ног на голову — Stripe, Linear, Vercel, Ferrari, Anthropic становятся тем словарным запасом, из которого движок извлекает суть, поэтому результат уникален при каждом вызове. Детерминированный, оффлайн, без участия модели.

      -

      1,243  структурированные записи, доступные для запросов и перекрёстных ссылок

      -
      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
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      - - -
      -
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      - Работает там, где вы уже создаёте -

      Тот же движок, тот же результат, верный бренду, везде.

      -

      Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — одна установка, без настройки для каждого инструмента. Ваша команда сохраняет свой редактор; необходимый минимум уже есть.

      -
      -
      - -
      -
      -
      -
      - - -
      -
      -
      - Почему это необходимый минимум -

      Три ключевых свойства. Ни у одного конкурента нет всех трёх.

      -
      -
      -
      - - Детерминированный

      Один бриф, одна система. Без модели в движке, без телеметрии, работает даже в самолёте.

      -
      -
      - - Верный бренду

      Основной цвет из пикселей вашего логотипа; жёсткий стандарт точности не пропустит ни один результат, не соответствующий бренду.

      -
      -
      - - С проверкой для мобильных

      Рендеринг в реальных вьюпортах 360 / 390px — горизонтальная прокрутка приводит к ошибке сборки, а не к разочарованию пользователей.

      -
      -
      - -
      -
      1,243
      Структурированные записи
      -
      160
      Бренд-спецификации
      -
      152
      Правила антипаттернов
      -
      17
      Интеграции с IDE
      -
      - -
      - Установка -

      Одна строка. И начинайте творить.

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      Исходный кодgithub.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - Star on GitHub -
      -
      -
      - -
      [preview] uxskill v3.1 · детерминированный · верный бренду · проверен на мобильных · оффлайн, без LLM, без телеметрии
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      The engine's reads,
      side by side with the resulting interface.

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      - A curated gallery of pages the ux-skill engine helped build. The recommendation on one side; the shipped interface on the other. Nothing here was bolted on after the fact — the palette, the type pair, the motion preset all came out of the 5-parallel-search recommender. -

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      - 01 · The gallery -

      Twelve pages.
      Twelve recommendations.

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      Every card below shows the engine's pick (style + palette + type pair) and a screenshot or link to the resulting interface. The first four are the docs site itself — built on its own engine. The next eight are mini case studies from briefs the recommender has been run on.

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        - Saturated Cinema homepage hero with the ux-skill wordmark on near-black canvas -
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        - Dogfood · Homepage -

        uxskill.laithjunaidy.com

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        Saturated Cinema scenes. Each section owns its color. Bricolage Grotesque display. No yellow, no Cormorant, no purple-to-blue gradient. The engine ate its own cooking.

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        - style: editorial-cinema - palette: cinema-night - type: bricolage-inter-jbm -
        - - See the page - Arrow - -
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        - Compare page scorecard tile comparing ux-skill against eight Claude UX skills -
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        - Dogfood · Compare -

        /compare.html

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        The 50-point scorecard. Dense, comparison-heavy, table-led. The engine picked Monochrome Precise over Editorial Magazine for this surface because the job is reading, not feeling.

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        - style: monochrome-precise - palette: linear-graphite - type: bricolage-inter-jbm -
        - - Read the scorecard - Arrow - -
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        - Editorial section with magazine-style headlines and photographic plates -
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        - Dogfood · Editorial -

        /editorial/

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        The long-read surface. Magazine grid, wide-tracked display, photographic plates instead of icons. The recommendation flipped from Monochrome Precise to Editorial Cinema because the brief tags shifted to warm, literary, ambient.

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        - style: editorial-cinema - palette: dark-mode-luxe - type: fraunces-inter-jbm -
        - - See the editorial wing - Arrow - -
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        - Brand inspector mosaic showing eight brand voice cards -
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        - Dogfood · Brand inspector -

        Brand gallery on the homepage

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        160 brand DESIGN.md specs visualised as a card mosaic, each card rendered in that brand's actual voice and palette. The engine reads `data/brands/*.json`; the page paints what it reads.

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        - style: gallery-mosaic - palette: per-card - type: per-brand -
        - - Browse the brands - Arrow - -
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        - Case study · Fintech dashboard -

        Neobank, trader audience, MENA

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        Brief: precise, trustworthy, dense. The engine recommended Monochrome Precise + Linear Graphite + Bricolage display. Forbidden tags pulled Cormorant and purple-to-blue out of the running before the lanes started.

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        - style: monochrome-precise - palette: linear-graphite - type: bricolage-inter-jbm -
        - - See the command - Arrow - -
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        - Case study · Editorial publication -

        Long-read magazine, literary tone

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        Brief: warm, literary, slow. The engine routed to Editorial Cinema + a dark-mode palette built around deep blues and ink reds. The recommendation came back without Cormorant because the forbidden list named it explicitly.

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        - style: editorial-cinema - palette: dark-mode-luxe - type: fraunces-inter-jbm -
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        - Case study · Dev tools landing -

        Saturated Cinema, developer audience

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        Brief: cinematic, saturated, opinionated. The engine returned Editorial Cinema with the per-scene color discipline that drives this site itself — one accent per section, never a single brand color across the whole canvas.

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        - style: editorial-cinema - palette: per-scene - type: bricolage-inter-jbm -
        - - Read the writeup - Arrow - -
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        - Case study · Cultural institution -

        Museum portfolio, Swiss tradition

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        Brief: precise, calm, archival. Swiss International came back from the recommender with a near-pure-white palette, hairline rules, and a serif body face matched to the long-read context.

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        - style: swiss-international - palette: editorial-warm - type: instrument-serif-inter -
        - - See the workflow - Arrow - -
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        - Cursor editor running the ux-skill recommend command in a terminal pane -
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        - Case study · Image-to-code -

        From editor screenshot → system

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        Hand the engine the Cursor screenshot. The pipeline reads it as dark canvas, syntax-accent dominant, and returns Monokai + Dark Mode Luxe as the closest match. Pure CV, no multimodal LLM.

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        - style: dark-mode-luxe - palette: dark-monokai - command: /ux-image-to-code -
        - - Open the command - Arrow - -
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        - Case study · Docs reference -

        Commands index, dense reference UI

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        Brief: dense, technical, browseable. The recommender chose Stripe Documentation as the style anchor — the rare case where the palette and type pair stay constant across surfaces but the layout density flexes.

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        - style: stripe-documentation - palette: stripe-indigo - type: bricolage-inter-jbm -
        - - See the docs page - Arrow - -
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        - Case study · B2B SaaS marketing -

        Calm, confident, founder-led

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        Brief: confident, founder-voice, calm. The engine returned a near-Linear pick — graphite palette, geometric sans, restrained motion. The rationale lines explicitly cite the founder-led tone over conventional B2B blue.

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        - style: linear-precise-dark - palette: linear-graphite - type: geist-inter-jbm -
        - - Read the writeup - Arrow - -
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        - Case study · Design system docs -

        Internal DS reference, monochrome

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        Brief: precise, monochrome, RTL-friendly. The engine kept Cormorant out, surfaced an Inter+IBM Plex stack, and recommended a hairline-only border vocabulary the linter then enforces on every change.

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        - style: monochrome-precise - palette: monochrome-cool - type: ibm-plex-inter -
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      - 02 · Your turn -

      Built something with the engine?

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      - Open a GitHub issue using the showcase template. Include the recommendation JSON, a screenshot or two, and what you kept versus overrode. The gallery is hand-picked — the entries with a story attached are the ones that land. -

      - - Submit your example on GitHub - External link - - - Or peek at the template — /.github/ISSUE_TEMPLATE/showcase.md - -
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      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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      - v3.1.0 · สมอง · สด - MIT · ไม่มีข้อมูลทางไกล · ไม่มี LLM -
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      สมองที่ส่งมอบงานออกแบบที่ ไม่ดูเหมือนถูกสร้างขึ้น

      -

      เครื่องสังเคราะห์ 7 แกนเปลี่ยนข้อกำหนดใดๆ ให้เป็นภาษาการออกแบบใหม่ที่ ยึดโยงกับแบรนด์ของคุณ ฟรี, MIT, ทำงานได้ในเครื่องมือเขียนโค้ด AI 17 ชนิด

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      - pip install uxskill - ให้ดาวบน GitHub -
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      เลื่อน↓
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      - - -
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      - สิ่งที่คุณส่งมอบทุกวัน -

      AI ของคุณส่งมอบ ค่ากลาง โดยค่าเริ่มต้น

      -

      ลองให้โมเดลใดๆ "สร้างหน้า Landing" คุณจะได้ค่าเฉลี่ยของทุกหน้าที่มันเคยได้รับ — ในสิบวินาที, ทุกครั้ง นี่คือลักษณะของค่ากลาง

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      - - -
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      สร้างหน้า Landing สำหรับ Fintech ให้ฉันหน่อย
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      the slop
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      ถูกต้อง ฉันต้องการให้มันดูเหมือน เรา — ไม่ใช่เหมือนคนทั่วไป
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      นั่นคืองานทั้งหมด อ่านต่อthe turn ↓
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      จะเกิดอะไรขึ้นถ้าโมเดลมี สมองของนักออกแบบ ที่เชื่อมต่ออยู่

      -

      ไม่ใช่โมเดลที่ใหญ่ขึ้น เลเยอร์ที่กำหนดผลลัพธ์ได้ซึ่ง ประมวลผลภาษาการออกแบบ — ความอบอุ่น, คอนทราสต์, รูปทรงเรขาคณิต, แบบอักษร — แทนที่จะเลือกใช้เทมเพลตที่ใกล้ที่สุด

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      - ลำดับเดียว ไม่ใช่การ์ดที่กระจัดกระจาย -

      มันประมวลผลภาษาการออกแบบ ไม่ใช่เทมเพลต

      -

      ห้าขั้นตอนที่กำหนดผลลัพธ์ได้ เริ่มต้นจนส่งมอบ

      -
      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      อ่านข้อกำหนด

      อุตสาหกรรม, กลุ่มเป้าหมาย, อารมณ์ — ถูกแยกวิเคราะห์เป็นข้อมูลเข้าที่มีโครงสร้าง, ไม่มีการคาดเดา

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      ตั้งค่าเจ็ดแกน

      ความอบอุ่น, คอนทราสต์, ความหนาแน่น, รูปทรงเรขาคณิต, ความเป็นทางการ, การเคลื่อนไหว, แบบอักษร — ถูกปรับแต่ง, แล้วปล่อยออกมาเป็นโทเค็น

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      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      ยึดโยงกับแบรนด์ของคุณ

      สีหลักดึงมาจากพิกเซลของโลโก้ของคุณ — ไม่ใช่สี CSS ที่ใกล้ที่สุด

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      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      ตรวจสอบแอนตี้แพทเทิร์น 152 รายการ

      ส่วนหัวแบบไล่ระดับสี, การ์ดสามใบที่เท่ากัน, คำกริยาที่ใช้เติม — ล้มเหลวในการสร้างที่นี่

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      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      ตรวจสอบบนมือถือ, ของจริง

      แสดงผลที่ 360/390px จริงใน headless Chrome การเลื่อนแนวนอนล้มเหลว, ไม่ใช่ผู้ใช้ของคุณ

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      - คลังข้อมูลคือคำศัพท์ -

      ข้อกำหนดแบรนด์จริง 160 รายการ — เป็นคำ ไม่ใช่ตราประทับ

      -

      แค็ตตาล็อกเคยเป็นเมนู: เลือก Stripe, ได้โทเค็นสไตล์ Stripe v3 พลิกแนวคิดนั้น — Stripe, Linear, Vercel, Ferrari, Anthropic กลายเป็นคำศัพท์ที่เอนจินกลั่นกรองออกมา, ทำให้ผลลัพธ์เป็นสิ่งใหม่ทุกครั้งที่เรียกใช้ กำหนดผลลัพธ์ได้, ออฟไลน์, ไม่มีโมเดลอยู่ในระบบ

      -

      1,243  รายการที่มีโครงสร้าง, สามารถสอบถามและอ้างอิงข้ามได้

      -
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      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
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      - ทำงานในที่ที่คุณสร้างอยู่แล้ว -

      เอนจินเดียวกัน, ผลลัพธ์ที่ตรงตามแบรนด์เดียวกัน, ทุกที่

      -

      Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — ติดตั้งครั้งเดียว, ไม่ต้องตั้งค่าแยกเครื่องมือ ทีมของคุณยังคงใช้เอดิเตอร์เดิมได้; พื้นฐานนี้มาพร้อมกับมัน

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      - ทำไมสิ่งนี้ถึงเป็นพื้นฐาน -

      สามคุณสมบัติ ไม่มีคู่แข่งรายใดมีครบทั้งสาม

      -
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      - - กำหนดผลลัพธ์ได้

      ข้อกำหนดเดียวกัน, ระบบเดียวกัน ไม่มีโมเดลในเอนจิน, ไม่มีข้อมูลทางไกล, ทำงานได้บนเครื่องบิน

      -
      -
      - - ตรงตามแบรนด์

      สีหลักจากพิกเซลของโลโก้ของคุณ; พื้นฐานความเที่ยงตรงที่แข็งแกร่งจะทำให้ผลลัพธ์ที่ไม่ตรงตามแบรนด์ล้มเหลว

      -
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      - - ผ่านเกณฑ์มือถือ

      แสดงผลที่วิวพอร์ตจริง 360 / 390px — การเลื่อนแนวนอนทำให้การสร้างล้มเหลว, ไม่ใช่ผู้ใช้ของคุณ

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      152
      กฎแอนตี้แพทเทิร์น
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      17
      การผสานรวม IDE
      -
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      - ติดตั้ง -

      บรรทัดเดียว แล้วสร้าง

      -
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      Pythonpip install uxskill
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      Nodenpx uxskill@latest
      -
      แหล่งที่มาgithub.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - ให้ดาวบน GitHub -
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      - -
      [ตัวอย่าง] uxskill v3.1 · กำหนดผลลัพธ์ได้ · ตรงตามแบรนด์ · ผ่านเกณฑ์มือถือ · ออฟไลน์, ไม่มี LLM, ไม่มีข้อมูลทางไกล
      - - - - - - diff --git a/landing/tr/index.html b/landing/tr/index.html deleted file mode 100644 index 83ef0fe..0000000 --- a/landing/tr/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Yapay zeka kodunuzun 'üretilmiş' görünmesine son verin. Tarz sahibi kodlamanın tasarım dehası. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
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      - GitHub’da Yıldızla - -
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      - v3.1.0 · DEHA · CANLI - MIT · TELEMETRİ YOK · LLM YOK -
      -

      Ortaya üretilmiş gibi durmayan tasarımlar çıkaran deha.

      -

      7 eksenli bir sentezleyici, her brief’i yepyeni bir tasarım diline dönüştürür, hem de markanıza sıkıca bağlı. Ücretsiz, MIT lisanslı, 17 yapay zeka kodlama aracında çalışır.

      -
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      Kaydır↓
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      - - -
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      - Her gün yayınladığınız şey -

      Yapay zekanız varsayılan olarak ortalamayı gönderir.

      -

      Herhangi bir modele "bir açılış sayfası oluştur" deyin. Karşılığında, yuttuğu her sayfanın ortalamasını alırsınız — her seferinde on saniye içinde. İşte ortalama böyle görünüyor.

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      Bana bir fintech açılış sayfası yap.
      -
      the slop
      -
      Tamam. Ben herkes gibi değil, bize özgü görünmesini istiyorum.
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      İşin özü bu. Okumaya devam edin.the turn ↓
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      - Dönüm noktası -

      Ya modelin içine bir tasarımcı beyni entegre edilmiş olsaydı?

      -

      Daha büyük bir model değil. En yakın şablona uzanmak yerine, bir tasarım dili derleyen — sıcaklık, kontrast, geometri, tipografi — deterministik bir katman.

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      - Tek bir akış, dağınık kartlar değil -

      Bir tasarım dili derler. Şablon değil.

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      Beş deterministik adım, başlangıçtan yayına.

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      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      Brief’i oku.

      Sektör, hedef kitle, ruh hali — yapılandırılmış bir girdi olarak ayrıştırılır, tahmine yer yok.

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      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      Yedi ekseni ayarla.

      Sıcaklık, kontrast, yoğunluk, geometri, biçimsellik, hareket, tipografi — ayarlanır, sonra token olarak çıkarılır.

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      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      Markanıza sabitle.

      Ana renk, logonuzun piksellerinden çekilir — en yakın CSS adlandırılmış renginden değil.

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      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      152 anti-deseni denetle.

      Gradyan başlıklar, üç eşit kart, dolgu fiilleri — burada derlemeyi geçemez.

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      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      Mobil uyumluluğu gerçekten doğrula.

      Headless Chrome’da gerçek 360/390 pikselde render edilir. Yatay kaydırma derlemeyi başarısız kılar, kullanıcılarınızı değil.

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      - Külliyat, kelime dağarcığıdır -

      160 gerçek marka spesifikasyonu — damga değil, kelime olarak.

      -

      Katalog eskiden bir menüydü: Stripe’ı seç, Stripe tadında tokenları al. v3 bunu tamamen değiştirdi — Stripe, Linear, Vercel, Ferrari, Anthropic, motorun damıttığı kelime dağarcığı haline geldi, böylece her çağrıda çıktı özgün olur. Deterministik, çevrimdışı, döngüde model yok.

      -

      1,243  yapılandırılmış girdiler, sorgulanabilir ve çapraz referanslı

      -
      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
      -
      -
      - - -
      -
      -
      -
      - Zaten geliştirdiğiniz yerde çalışır -

      Aynı motor, aynı markaya sadık çıktı, her yerde.

      -

      Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — tek kurulum, araç başına yapılandırma yok. Ekibiniz editörünü korur; standart beraberinde gelir.

      -
      -
      - -
      -
      -
      -
      - - -
      -
      -
      - Neden bu bir zemin standartı -

      Üç özellik. Hiçbir rakip üçüne de sahip değil.

      -
      -
      -
      - - Deterministik

      Aynı brief, aynı sistem. Motorda model yok, telemetri yok, uçakta bile çalışır.

      -
      -
      - - Markaya sadık

      Ana renk logonuzun piksellerinden; marka dışı herhangi bir çıktıyı kesinlikle engeller.

      -
      -
      - - Mobil uyumluluk garantili

      Gerçek 360 / 390 piksel görünüm alanlarında render edilir — yatay kaydırma derlemeyi başarısız kılar, kullanıcılarınızı değil.

      -
      -
      - -
      -
      1,243
      Yapılandırılmış girdiler
      -
      160
      Marka spesifikasyonları
      -
      152
      Anti-desen kuralları
      -
      17
      IDE entegrasyonları
      -
      - -
      - Kurulum -

      Tek satır. Sonra geliştir.

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      Kaynakgithub.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - GitHub’da Yıldızla -
      -
      -
      - -
      [önizleme] uxskill v3.1 · deterministik · markaya sadık · mobil uyumluluk garantili · çevrimdışı, LLM yok, telemetri yok
      - - - - - - diff --git a/landing/vi/index.html b/landing/vi/index.html deleted file mode 100644 index 3af9c4c..0000000 --- a/landing/vi/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — Dừng mã AI của bạn trông như được tạo tự động. Bộ não thiết kế cho việc lập trình theo cảm hứng. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
      -
      - Star on GitHub - -
      - - - -
      -
      - - -
      -
      - v3.1.0 · BỘ NÃO · TRỰC TIẾP - MIT · KHÔNG ĐO LƯỜNG TỪ XA · KHÔNG LLM -
      -

      Bộ não tạo ra thiết kế không trông như được tạo tự động.

      -

      Một bộ tổng hợp 7 trục biến mọi yêu cầu thành một ngôn ngữ thiết kế mới mẻ, gắn liền với thương hiệu của bạn. Miễn phí, MIT, chạy trong 17 công cụ lập trình AI.

      -
      - pip install uxskill - Star on GitHub -
      -
      Cuộn xuống↓
      -
      -
      -
      - - -
      -
      -
      - Thứ bạn xuất xưởng mỗi ngày -

      AI của bạn xuất xưởng điểm trung tâm theo mặc định.

      -

      Yêu cầu bất kỳ mô hình nào "xây dựng một trang đích." Bạn sẽ nhận được trung bình của mọi trang nó từng tiếp nhận — trong mười giây, mỗi lần. Đây là hình ảnh của điểm trung tâm.

      -
      - - -
      -
      -
      -
      Xây dựng cho tôi một trang đích fintech.
      -
      the slop
      -
      Đúng vậy. Tôi muốn nó trông giống chúng tôi — không phải ai khác.
      -
      Đó là toàn bộ công việc. Đọc tiếp.the turn ↓
      -
      -
      -
      -
      -
      - - - -
      -
      -
      - -
      - Bước ngoặt -

      Điều gì sẽ xảy ra nếu mô hình có bộ não của một nhà thiết kế được tích hợp sẵn?

      -

      Không phải một mô hình lớn hơn. Một lớp xác định biên dịch một ngôn ngữ thiết kế — độ ấm, độ tương phản, hình học, kiểu chữ — thay vì tìm đến mẫu gần nhất.

      -
      -
      -
      -
      - - -
      - -
      -
      - -
      - Một chuỗi, không phải các thẻ rời rạc -

      Nó biên dịch một ngôn ngữ thiết kế. Không phải một mẫu.

      -

      Năm bước xác định, từ bắt đầu đến xuất xưởng.

      -
      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      Đọc yêu cầu.

      Ngành, đối tượng, tâm trạng — được phân tích thành một đầu vào có cấu trúc, không cần phỏng đoán.

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      Thiết lập bảy trục.

      Độ ấm, độ tương phản, mật độ, hình học, tính trang trọng, chuyển động, kiểu chữ — được điều chỉnh, sau đó phát ra dưới dạng token.

      -
      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      Gắn liền với thương hiệu của bạn.

      Màu chính được lấy từ pixel logo của bạn — không phải màu CSS gần nhất.

      -
      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      Kiểm tra 152 chống mẫu.

      Tiêu đề gradient, ba thẻ bằng nhau, động từ phụ — thất bại trong quá trình xây dựng ở đây.

      -
      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      Xác minh di động, thực sự.

      Được hiển thị ở độ phân giải 360/390px thực trong Chrome không đầu. Cuộn ngang thất bại, không phải người dùng của bạn.

      - - -
      -
      -
      - - -
      -
      -
      -
      - Kho dữ liệu là từ vựng -

      160 thông số thương hiệu thực — dưới dạng từ, không phải dấu ấn.

      -

      Danh mục từng là một menu: chọn Stripe, nhận token theo phong cách Stripe. v3 đã thay đổi điều đó — Stripe, Linear, Vercel, Ferrari, Anthropic trở thành từ vựng mà công cụ chắt lọc, vì vậy đầu ra là mới lạ mỗi lần gọi. Xác định, ngoại tuyến, không có mô hình trong vòng lặp.

      -

      1,243  mục nhập có cấu trúc, có thể truy vấn và tham chiếu chéo

      -
      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
      -
      -
      - - -
      -
      -
      -
      - Chạy ở nơi bạn đã xây dựng -

      Cùng một công cụ, cùng một đầu ra đúng thương hiệu, mọi nơi.

      -

      Claude Code, Cursor, Windsurf, Copilot, Gemini, Codex, Zed, JetBrains, Cline, Continue, Aider, Tabnine — một lần cài đặt, không cần cấu hình cho từng công cụ. Nhóm của bạn giữ trình chỉnh sửa của mình; nền tảng đi kèm với đó.

      -
      -
      - -
      -
      -
      -
      - - -
      -
      -
      - Tại sao đây là nền tảng -

      Ba thuộc tính. Không đối thủ nào có cả ba.

      -
      -
      -
      - - Xác định

      Cùng một yêu cầu, cùng một hệ thống. Không có mô hình trong công cụ, không đo lường từ xa, chạy trên máy bay.

      -
      -
      - - Đúng thương hiệu

      Màu chính từ pixel logo của bạn; một nền tảng độ trung thực cứng nhắc sẽ loại bỏ bất kỳ đầu ra nào không đúng thương hiệu.

      -
      -
      - - Được kiểm soát di động

      Được hiển thị ở khung nhìn thực 360 / 390px — cuộn ngang làm thất bại quá trình xây dựng, không phải người dùng của bạn.

      -
      -
      - -
      -
      1,243
      Mục nhập có cấu trúc
      -
      160
      Thông số thương hiệu
      -
      152
      Quy tắc chống mẫu
      -
      17
      Tích hợp IDE
      -
      - -
      - Cài đặt -

      Một dòng. Sau đó xây dựng.

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      Nguồngithub.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - Star on GitHub -
      -
      -
      - -
      [preview] uxskill v3.1 · xác định · đúng thương hiệu · được kiểm soát di động · ngoại tuyến, không LLM, không đo lường từ xa
      - - - - - - diff --git a/landing/zh-CN/index.html b/landing/zh-CN/index.html deleted file mode 100644 index 8969e32..0000000 --- a/landing/zh-CN/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — 阻止你的 AI 代码看起来是生成的。氛围编码的设计大脑。 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
      -
      - Star on GitHub - -
      - - - -
      -
      - - -
      -
      - v3.1.0 · 大脑 · 实时 - MIT · 无遥测 · 无 LLM -
      -

      交付设计的大脑，让设计 看起来不是生成的。

      -

      一个 7 轴合成器将任何简报转化为全新的设计语言，锚定您的品牌。免费，MIT 许可，可在 17 种 AI 编码工具中运行。

      -
      - pip install uxskill - Star on GitHub -
      -
      滚动↓
      -
      -
      -
      - - -
      -
      -
      - 你每天交付的东西 -

      你的 AI 默认交付 中心点。

      -

      让任何模型“构建一个着陆页”。你得到的是它所摄取的所有页面的平均值 — 每次都在十秒内完成。中心点看起来是这样的。

      -
      - - -
      -
      -
      -
      给我构建一个金融科技着陆页。
      -
      the slop
      -
      对。我希望它看起来像我们 — 而不是像所有人。
      -
      这就是全部工作。继续阅读。the turn ↓
      -
      -
      -
      -
      -
      - - - -
      -
      -
      - -
      - 转折 -

      如果模型内置了设计师的大脑呢？

      -

      不是一个更大的模型。一个确定性层，它编译设计语言 — 温暖感、对比度、几何、字体 — 而不是寻找最近的模板。

      -
      -
      -
      -
      - - -
      - -
      -
      - -
      - 一个序列，而非散乱的卡片 -

      它编译设计语言。不是模板。

      -

      五个确定性步骤，从开始到交付。

      -
      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      阅读简报。

      行业、受众、情绪 — 解析为结构化输入，无需猜测。

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      设置七个轴。

      温暖感、对比度、密度、几何、形式感、动态、字体 — 调整后，作为 token 发出。

      -
      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      锚定您的品牌。

      主色调从您的 logo 像素中提取 — 而非最近的 CSS 命名颜色。

      -
      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      检查 152 条反模式。

      渐变标题、三个等宽卡片、填充动词 — 在此处构建失败。

      -
      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      真实验证移动端。

      在无头 Chrome 中以真实的 360/390px 渲染。水平滚动会导致构建失败，而不是您的用户。

      - - -
      -
      -
      - - -
      -
      -
      -
      - 语料库即词汇 -

      160 个真实品牌规范 — 以词汇而非印记的形式。

      -

      目录曾是一个菜单：选择 Stripe，获得 Stripe 风格的 token。v3 彻底改变了这一点 — Stripe、Linear、Vercel、Ferrari、Anthropic 成为引擎提炼的词汇，因此每次调用输出都是新颖的。确定性、离线、无模型参与。

      -

      1,243  结构化条目，可查询和交叉引用

      -
      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
      -
      -
      - - -
      -
      -
      -
      - 在你已构建的地方运行 -

      相同的引擎，相同的品牌真实输出，无处不在。

      -

      Claude Code、Cursor、Windsurf、Copilot、Gemini、Codex、Zed、JetBrains、Cline、Continue、Aider、Tabnine — 一次安装，无需逐个工具配置。您的团队保留其编辑器；基础功能随之而来。

      -
      -
      - -
      -
      -
      -
      - - -
      -
      -
      - 为何这是基础 -

      三个特性。没有竞争对手同时拥有这三者。

      -
      -
      -
      - - 确定性

      相同的简报，相同的系统。引擎中无模型，无遥测，可在飞机上运行。

      -
      -
      - - 品牌真实

      主色调来自您的 logo 像素；严格的保真度底线会阻止任何偏离品牌的输出。

      -
      -
      - - 移动端门控

      在真实的 360 / 390px 视口中渲染 — 水平滚动会导致构建失败，而不是您的用户。

      -
      -
      - -
      -
      1,243
      结构化条目
      -
      160
      品牌规范
      -
      152
      反模式规则
      -
      17
      IDE 集成
      -
      - -
      - 安装 -

      一行代码。然后构建。

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      源代码github.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - Star on GitHub -
      -
      -
      - -
      [预览] uxskill v3.1 · 确定性 · 品牌真实 · 移动端门控 · 离线，无 LLM，无遥测
      - - - - - - diff --git a/landing/zh-TW/index.html b/landing/zh-TW/index.html deleted file mode 100644 index 251ef7c..0000000 --- a/landing/zh-TW/index.html +++ /dev/null @@ -1,963 +0,0 @@ - - - - - -uxskill v3.1 — 讓您的AI程式碼不再看起來是生成的。為氛圍編碼而生的設計大腦。 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      - uxskill - -
      - -
      - English - 简体中文 - 繁體中文 - 日本語 - 한국어 - हिन्दी - Bahasa Indonesia - Tiếng Việt - ไทย - العربية - Español - Français - Deutsch - Português - Русский - Türkçe - Italiano -
      -
      - Star on GitHub - -
      - - - -
      -
      - - -
      -
      - v3.1.0 · 大腦 · 實時 - MIT · 無遙測 · 無LLM -
      -

      交付設計的大腦，讓其 看起來不像生成的。

      -

      一個7軸合成器將任何簡報轉化為全新的設計語言，錨定您的品牌。免費，MIT許可，可在17種AI編碼工具中運行。

      -
      - pip install uxskill - Star on GitHub -
      -
      滾動↓
      -
      -
      -
      - - -
      -
      -
      - 您每天交付的東西 -

      您的AI預設交付 中心點。

      -

      要求任何模型「建立一個登陸頁面」。您會得到它所攝取過的所有頁面的平均值 — 每次都在十秒內。這就是中心點的樣子。

      -
      - - -
      -
      -
      -
      為我建立一個金融科技登陸頁面。
      -
      the slop
      -
      對。我希望它看起來像 我們 — 而不是像所有人。
      -
      這就是全部的工作。繼續閱讀。the turn ↓
      -
      -
      -
      -
      -
      - - - -
      -
      -
      - -
      - 轉折 -

      如果模型內建了 設計師的大腦 呢？

      -

      不是更大的模型。一個確定性層，它 編譯設計語言 — 溫暖、對比、幾何、字體 — 而不是尋找最近的模板。

      -
      -
      -
      -
      - - -
      - -
      -
      - -
      - 一個序列，而非散亂的卡片 -

      它編譯設計語言。不是模板。

      -

      五個確定性步驟，從開始到交付。

      -
      - -
      system.tokens.css
      /* reading brief... */
      --industry:'fintech'
      --audience:'design-engineers'
      --mood:'precise, calm'
      01

      閱讀簡報。

      行業、受眾、情緒 — 解析為結構化輸入，無需猜測。

      -
      system.tokens.css
      /* synthesizing axes... */
      --warmth:0.28
      --contrast:0.91
      --density:0.44
      --formality:0.78
      02

      設定七個軸。

      溫暖、對比、密度、幾何、正式性、動態、字體 — 調校後，作為令牌發出。

      -
      system.tokens.css
      /* anchoring brand... */
      --canvas:#f6f7f9
      --ink:#10131a
      --accent:#5b9cff
      --radius:10px
      03

      錨定您的品牌。

      主色調從您的標誌像素中提取 — 而非最近的CSS命名顏色。

      -
      system.tokens.css
      --display:'Bricolage Grotesque'
      --body-font:'Inter'
      /* linting 152 rules... */
      /* 0 violations */
      04

      檢查152個反模式。

      漸變標題、三個等寬卡片、填充動詞 — 在此建構失敗。

      -
      system.tokens.css
      /* verifying 360px... */
      /* h-scroll: none */
      /* sticky: 56px ok */
      /* verified ok */
      05

      真正驗證行動裝置。

      在無頭Chrome中以真實的360/390像素渲染。水平滾動會導致建構失敗，而不是您的用戶。

      - - -
      -
      -
      - - -
      -
      -
      -
      - 語料庫即詞彙 -

      160個真實品牌規範 — 以詞彙而非印章呈現。

      -

      過去的目錄是一個菜單：選擇Stripe，獲得Stripe風格的令牌。v3徹底改變了這一點 — Stripe、Linear、Vercel、Ferrari、Anthropic成為引擎提煉的詞彙，因此每次調用都會產生新穎的輸出。確定性，離線，無模型參與。

      -

      1,243  結構化條目，可查詢和交叉引用

      -
      -
      - - - - - corpus.manifest - - styles84 - palettes176 - type-pairs70 - components148 - brands160 - anti-patterns152 - - - - - - - - - - - - - 1,243 entries - deterministic · offline · no LLM - - -
      -
      -
      -
      - - -
      -
      -
      -
      - 在您已建構的環境中運行 -

      相同的引擎，相同的品牌真實輸出，無處不在。

      -

      Claude Code、Cursor、Windsurf、Copilot、Gemini、Codex、Zed、JetBrains、Cline、Continue、Aider、Tabnine — 一次安裝，無需為每個工具配置。您的團隊保留其編輯器；基礎隨之而來。

      -
      -
      - -
      -
      -
      -
      - - -
      -
      -
      - 為何這是基礎 -

      三個特性。沒有競爭對手同時擁有這三者。

      -
      -
      -
      - - 確定性

      相同的簡報，相同的系統。引擎中無模型，無遙測，可在飛機上運行。

      -
      -
      - - 品牌真實

      主色調來自您標誌的像素；嚴格的保真度底線會阻止任何偏離品牌的輸出。

      -
      -
      - - 行動裝置門控

      在真實的360 / 390像素視口中渲染 — 水平滾動會導致建構失敗，而不是您的用戶。

      -
      -
      - -
      -
      1,243
      結構化條目
      -
      160
      品牌規範
      -
      152
      反模式規則
      -
      17
      IDE整合
      -
      - -
      - 安裝 -

      一行指令。然後建構。

      -
      -
      -
      Pythonpip install uxskill
      -
      Nodenpx uxskill@latest
      -
      來源github.com/Laith0003/ux-skill
      -
      -
      - pip install uxskill - Star on GitHub -
      -
      -
      - -
      [預覽] uxskill v3.1 · 確定性 · 品牌真實 · 行動裝置門控 · 離線，無LLM，無遙測
      - - - - - - diff --git a/scripts/build-anti-patterns-page.py b/scripts/build-anti-patterns-page.py index 03e88a1..67c3373 100644 --- a/scripts/build-anti-patterns-page.py +++ b/scripts/build-anti-patterns-page.py @@ -19,7 +19,6 @@ ROOT = Path(__file__).resolve().parent.parent SRC = ROOT / "data" / "anti-patterns.json" OUT = ROOT / "docs" / "anti-patterns.html" -LANDING_OUT = ROOT / "landing" / "anti-patterns.html" SEVERITY_ORDER = {"high": 0, "medium": 1, "low": 2} @@ -322,8 +321,7 @@ def main(): rules, version = load_rules() out_html = build_html(rules, version) OUT.write_text(out_html, encoding="utf-8") - LANDING_OUT.write_text(out_html, encoding="utf-8") - print(f"ok {len(rules)} rules → docs/anti-patterns.html + landing/anti-patterns.html") + print(f"ok {len(rules)} rules → docs/anti-patterns.html") if __name__ == "__main__": diff --git a/scripts/build-brands-page.py b/scripts/build-brands-page.py index c039aba..4304cdc 100644 --- a/scripts/build-brands-page.py +++ b/scripts/build-brands-page.py @@ -18,7 +18,6 @@ INDEX = ROOT / "data" / "brands" / "_index.json" BRANDS_DIR = ROOT / "data" / "brands" OUT = ROOT / "docs" / "brands.html" -LANDING_OUT = ROOT / "landing" / "brands.html" def load_index(): @@ -298,8 +297,7 @@ def main(): brands, version = load_index() out_html = build_html(brands, version) OUT.write_text(out_html, encoding="utf-8") - LANDING_OUT.write_text(out_html, encoding="utf-8") - print(f"ok {len(brands)} brands → docs/brands.html + landing/brands.html") + print(f"ok {len(brands)} brands → docs/brands.html") if __name__ == "__main__": diff --git a/scripts/build-commands-page.py b/scripts/build-commands-page.py index 71a931d..e9211bd 100644 --- a/scripts/build-commands-page.py +++ b/scripts/build-commands-page.py @@ -16,7 +16,6 @@ ROOT = Path(__file__).resolve().parent.parent COMMANDS_DIR = ROOT / "commands" DOCS_OUT = ROOT / "docs" / "commands.html" -LANDING_OUT = ROOT / "landing" / "commands.html" def parse_command(path: Path) -> dict: @@ -723,9 +722,7 @@ def main() -> None: .replace("__BODY__", body) ) DOCS_OUT.write_text(out, encoding="utf-8") - LANDING_OUT.write_text(out, encoding="utf-8") print(f"Wrote {DOCS_OUT} ({len(out) // 1024} KB)") - print(f"Wrote {LANDING_OUT} ({len(out) // 1024} KB)") if __name__ == "__main__": diff --git a/scripts/build-i18n-homepages.py b/scripts/build-i18n-homepages.py index 48a2a19..7aa69b7 100644 --- a/scripts/build-i18n-homepages.py +++ b/scripts/build-i18n-homepages.py @@ -9,7 +9,7 @@ 4. Inject a for every language. 5. Add a language picker dropdown to the nav (top-right). 6. Mark canonical to the lang-specific URL. - 7. Write to docs//index.html and landing//index.html. + 7. Write to docs//index.html. Re-run the script whenever docs/index.html or i18n-strings.json changes. """ @@ -22,7 +22,6 @@ BASE = ROOT / "docs" / "index.html" STRINGS = ROOT / "scripts" / "i18n-strings.json" DOCS_OUT = ROOT / "docs" -LANDING_OUT = ROOT / "landing" def load_strings(): @@ -261,16 +260,11 @@ def write_lang(html: str, lang: str) -> None: # English IS the root index.html — we keep the root file as-is and just # rewrite it with hreflang + lang picker added. out_docs = DOCS_OUT / "index.html" - out_landing = LANDING_OUT / "index.html" else: sub_docs = DOCS_OUT / lang - sub_landing = LANDING_OUT / lang sub_docs.mkdir(parents=True, exist_ok=True) - sub_landing.mkdir(parents=True, exist_ok=True) out_docs = sub_docs / "index.html" - out_landing = sub_landing / "index.html" out_docs.write_text(html, encoding="utf-8") - out_landing.write_text(html, encoding="utf-8") def main() -> None: @@ -284,7 +278,7 @@ def main() -> None: write_lang(html, lang) size_kb = len(html) // 1024 print(f" ok {lang:6} → /{lang}/ ({size_kb} KB)") - print(f"\nDone. {len(langs)} locales written under docs/ + landing/.") + print(f"\nDone. {len(langs)} locales written under docs/.") if __name__ == "__main__": diff --git a/scripts/force-dark-theme.py b/scripts/force-dark-theme.py index 15bb413..0233dd4 100644 --- a/scripts/force-dark-theme.py +++ b/scripts/force-dark-theme.py @@ -150,7 +150,7 @@ def patch(path: Path) -> tuple[bool, int]: def main() -> None: targets = [] - for root_dir in (ROOT / "docs", ROOT / "landing"): + for root_dir in (ROOT / "docs",): targets.extend(root_dir.rglob("*.html")) targets.sort() print(f"Scanning {len(targets)} HTML files\n") diff --git a/scripts/generate-hero-video.py b/scripts/generate-hero-video.py index a61b3d5..69d161a 100644 --- a/scripts/generate-hero-video.py +++ b/scripts/generate-hero-video.py @@ -24,10 +24,8 @@ ROOT = Path(__file__).resolve().parent.parent FRAMES_DIR = ROOT / ".build" / "hero-frames" OUT_DIR = ROOT / "docs" / "media" -LANDING_OUT = ROOT / "landing" / "media" FRAMES_DIR.mkdir(parents=True, exist_ok=True) OUT_DIR.mkdir(parents=True, exist_ok=True) -LANDING_OUT.mkdir(parents=True, exist_ok=True) W, H = 1920, 1080 FPS = 30 @@ -184,7 +182,6 @@ def encode_mp4() -> None: str(out), ] subprocess.run(cmd, check=True, capture_output=True) - shutil.copy(out, LANDING_OUT / "hero-loop.mp4") sz = out.stat().st_size // 1024 print(f" mp4 ok ({sz} KB)") @@ -205,7 +202,6 @@ def encode_webm() -> None: str(out), ] subprocess.run(cmd, check=True, capture_output=True) - shutil.copy(out, LANDING_OUT / "hero-loop.webm") sz = out.stat().st_size // 1024 print(f" webm ok ({sz} KB)") @@ -215,7 +211,6 @@ def make_poster() -> None: poster_frame = TOTAL_FRAMES // 2 img = render_frame(poster_frame) img.save(OUT_DIR / "hero-loop.jpg", "JPEG", quality=82, optimize=True) - img.save(LANDING_OUT / "hero-loop.jpg", "JPEG", quality=82, optimize=True) print(f" poster ok ({(OUT_DIR / 'hero-loop.jpg').stat().st_size // 1024} KB)") diff --git a/scripts/generate-og-images.py b/scripts/generate-og-images.py index 9f0f4b7..35c6693 100644 --- a/scripts/generate-og-images.py +++ b/scripts/generate-og-images.py @@ -22,8 +22,6 @@ ROOT = Path(__file__).resolve().parent.parent OUT_DIR = ROOT / "docs" / "og" OUT_DIR.mkdir(parents=True, exist_ok=True) -LANDING_OUT_DIR = ROOT / "landing" / "og" -LANDING_OUT_DIR.mkdir(parents=True, exist_ok=True) # slug -> (eyebrow, title, optional subtitle) @@ -172,10 +170,9 @@ def generate_one(slug: str, eyebrow: str, title: str, subtitle: str) -> Path: _draw_footer(d, w, h) # thin hairline divider at the very bottom d.rectangle((60, h - 30, w - 60, h - 29), fill=(40, 38, 34)) - # save to docs/og + landing/og + # save to docs/og out = OUT_DIR / f"{slug}.png" img.save(out, "PNG", optimize=True) - img.save(LANDING_OUT_DIR / f"{slug}.png", "PNG", optimize=True) return out @@ -184,7 +181,7 @@ def main() -> None: for slug, (eb, title, sub) in PAGES.items(): p = generate_one(slug, eb, title, sub) print(f"OK {p.name} ({Path(p).stat().st_size // 1024} KB)") - print(f"\nDone. {len(PAGES)} PNGs written to docs/og/ and landing/og/.") + print(f"\nDone. {len(PAGES)} PNGs written to docs/og/.") if __name__ == "__main__": diff --git a/scripts/generate-showcase-images.py b/scripts/generate-showcase-images.py index 805ccc9..0922f21 100644 --- a/scripts/generate-showcase-images.py +++ b/scripts/generate-showcase-images.py @@ -13,8 +13,6 @@ docs/screenshots/terminal-ux-lint.png — Linter scan output docs/screenshots/brand-mosaic.png — Brand gallery mosaic docs/screenshots/hero-canvas.png — Abstract hero scene - -Mirrored to landing/screenshots/. """ from pathlib import Path from PIL import Image, ImageDraw, ImageFont, ImageFilter @@ -24,9 +22,7 @@ ROOT = Path(__file__).resolve().parent.parent DOCS = ROOT / "docs" / "screenshots" -LANDING = ROOT / "landing" / "screenshots" DOCS.mkdir(parents=True, exist_ok=True) -LANDING.mkdir(parents=True, exist_ok=True) # Saturated Cinema palette (matches v3 homepage) @@ -70,7 +66,6 @@ def _font(size: int, mono: bool = False) -> ImageFont.FreeTypeFont: def _save(img: Image.Image, name: str) -> None: out = DOCS / name img.save(out, "PNG", optimize=True) - img.save(LANDING / name, "PNG", optimize=True) print(f"OK {name} ({out.stat().st_size // 1024} KB)") diff --git a/scripts/inject-analytics.py b/scripts/inject-analytics.py index 24f5078..fbc3d7e 100644 --- a/scripts/inject-analytics.py +++ b/scripts/inject-analytics.py @@ -5,7 +5,7 @@ at the GA side (page_view, scroll, outbound click, site search, file download, form interaction, video), so the standard tag below is all the page needs. -Walks docs/ and landing/ for *.html and inserts the tag immediately after the +Walks docs/ for *.html and inserts the tag immediately after the opening on every page that doesn't already carry the Measurement ID. Idempotent — the ID guard means re-runs are safe, and locale homepages that the i18n build regenerates from docs/index.html inherit it from the base. @@ -42,7 +42,7 @@ def inject(html: str) -> str | None: def main() -> None: written = skipped = nohead = 0 targets = [] - for base in ("docs", "landing"): + for base in ("docs",): d = ROOT / base if d.exists(): targets.extend(sorted(d.rglob("*.html"))) diff --git a/scripts/inject-noscroll.py b/scripts/inject-noscroll.py index 94e8a3c..5e68ccc 100644 --- a/scripts/inject-noscroll.py +++ b/scripts/inject-noscroll.py @@ -6,7 +6,6 @@ Applies to: docs/**/*.html - landing/**/*.html """ from pathlib import Path import re @@ -46,7 +45,7 @@ def inject(path: Path) -> tuple[bool, str]: def main() -> None: count_ok = 0 count_skip = 0 - for root_dir in (ROOT / "docs", ROOT / "landing"): + for root_dir in (ROOT / "docs",): for p in root_dir.rglob("*.html"): ok, msg = inject(p) rel = p.relative_to(ROOT) diff --git a/scripts/process-editorial-photos.py b/scripts/process-editorial-photos.py index a971d83..882dfa6 100644 --- a/scripts/process-editorial-photos.py +++ b/scripts/process-editorial-photos.py @@ -6,7 +6,7 @@ - Save at JPEG quality 78 (~80-120 KB target) - Generate a tiny 24px-wide blur placeholder (for LQIP / blur-up loading) -Outputs (mirrored to landing/editorial/): +Outputs: docs/editorial/editorial-.jpg full (~100 KB each) docs/editorial/editorial--tiny.jpg LQIP (~1 KB each) @@ -20,7 +20,6 @@ ROOT = Path(__file__).resolve().parent.parent DOCS = ROOT / "docs" / "editorial" -LANDING = ROOT / "landing" / "editorial" def darken_gradient(img: Image.Image) -> Image.Image: @@ -47,7 +46,6 @@ def process_one(src: Path) -> None: # Save optimized out = DOCS / src.name img.save(out, "JPEG", quality=78, optimize=True, progressive=True) - (LANDING / src.name).write_bytes(out.read_bytes()) # Tiny LQIP — 24 wide, blurred tiny = img.copy() tiny.thumbnail((24, 24 * img.height // img.width), Image.LANCZOS) @@ -55,7 +53,6 @@ def process_one(src: Path) -> None: tiny_name = src.stem + "-tiny.jpg" tiny_out = DOCS / tiny_name tiny.save(tiny_out, "JPEG", quality=60, optimize=True) - (LANDING / tiny_name).write_bytes(tiny_out.read_bytes()) kb_main = out.stat().st_size // 1024 kb_tiny = tiny_out.stat().st_size // 1024 print(f" ok {src.name:24s} {kb_main:>4} KB + lqip {kb_tiny} KB") diff --git a/scripts/strip-skip-link.py b/scripts/strip-skip-link.py index 2f2f813..01cd0fe 100644 --- a/scripts/strip-skip-link.py +++ b/scripts/strip-skip-link.py @@ -44,7 +44,7 @@ def strip(path: Path) -> tuple[bool, int]: def main() -> None: targets = [] - for root_dir in (ROOT / "docs", ROOT / "landing"): + for root_dir in (ROOT / "docs",): targets.extend(root_dir.rglob("*.html")) targets.sort() print(f"Stripping skip-link from {len(targets)} HTML files\n") diff --git a/scripts/unify-nav.py b/scripts/unify-nav.py index 809a091..e37251c 100644 --- a/scripts/unify-nav.py +++ b/scripts/unify-nav.py @@ -9,8 +9,6 @@ Page-local accents, page-local CSS for non-nav surfaces, page-local content (hero, cards, tables, blog list) are preserved verbatim. - -Mirrors docs/.html to landing/.html after each rewrite. """ import re @@ -18,7 +16,6 @@ ROOT = Path(__file__).resolve().parents[1] DOCS = ROOT / "docs" -LANDING = ROOT / "landing" # ============================================================ # CANONICAL FRAGMENTS @@ -500,27 +497,9 @@ def main(): touched = [] for rel in PAGES: docs_path = DOCS / rel - landing_path = LANDING / rel if docs_path.exists(): if unify_page(docs_path): touched.append(str(docs_path.relative_to(ROOT))) - # Mirror to landing/ - if landing_path.exists(): - # Reuse the just-rewritten docs version as the landing source - # to guarantee parity. - landing_path.write_text( - docs_path.read_text(encoding="utf-8"), - encoding="utf-8", - ) - touched.append(str(landing_path.relative_to(ROOT))) - else: - # If the landing mirror is missing entirely, write it. - landing_path.parent.mkdir(parents=True, exist_ok=True) - landing_path.write_text( - docs_path.read_text(encoding="utf-8"), - encoding="utf-8", - ) - touched.append(str(landing_path.relative_to(ROOT)) + " (new)") else: print(f"SKIP — missing: {docs_path}") diff --git a/scripts/wire-og-images.py b/scripts/wire-og-images.py index 3070fc1..0ba8c87 100644 --- a/scripts/wire-og-images.py +++ b/scripts/wire-og-images.py @@ -72,21 +72,14 @@ def inject(path: Path, slug: str) -> tuple[bool, str]: def main() -> None: docs_count = 0 - land_count = 0 for rel, slug in PAGE_TO_SLUG.items(): p_docs = ROOT / rel - p_landing = ROOT / rel.replace("docs/", "landing/", 1) if p_docs.exists(): ok, msg = inject(p_docs, slug) print(("OK " if ok else "skip "), rel, "—", msg) if ok: docs_count += 1 - if p_landing.exists(): - ok, msg = inject(p_landing, slug) - print(("OK " if ok else "skip "), rel.replace("docs/", "landing/", 1), "—", msg) - if ok: - land_count += 1 - print(f"\nDone: {docs_count} docs/ pages updated, {land_count} landing/ pages updated.") + print(f"\nDone: {docs_count} docs/ pages updated.") if __name__ == "__main__": From e709d348858e4d48b73633888f9ae57b551171da Mon Sep 17 00:00:00 2001 From: Laith0003 <48926452+Laith0003@users.noreply.github.com> Date: Sat, 6 Jun 2026 12:54:06 +0300 Subject: [PATCH 3/3] docs(discovery): resolve wow-moment self-contradiction Field 10 says the model DERIVES a wow layer when the user does not supply one, but the Hard Rules ('never proceed without the wow moment') and the closing line ('can only come from the user, not from the model') still asserted the opposite. Reconciled both to Field 10's current position. Maintainability pass also verified (no change needed): the motion and anti-pattern file pairs are intentionally distinct (anti-patterns.md documents the split from anti-slop.md); counts are accurate (25 commands, 5 agents, 152 rules, 17 IDEs, 12 manifests); the '18 IDEs' figure is the competitor's, correctly stated. Co-Authored-By: Claude Opus 4.8 --- references/process/discovery-protocol.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/references/process/discovery-protocol.md b/references/process/discovery-protocol.md index 04a0dbe..c110753 100644 --- a/references/process/discovery-protocol.md +++ b/references/process/discovery-protocol.md @@ -133,7 +133,7 @@ Group these into 2–3 messages of 3–4 questions each. Don't dump all ten in a ## Hard rules for the discovery phase - **Never assume.** If a field is ambiguous, ask. The cost of one clarification message is far lower than the cost of regenerating a misaligned design. -- **Never proceed without the wow moment.** Without it, you're producing default work. Push back if the user says "anything's fine" — ask for a concrete moment, even a tiny one ("the way the headline reveals on first scroll", "the brand-mark dot pulsing once on load"). +- **Never ship a forgettable surface, but you do not need the user to supply the wow.** If they give a concrete moment, use it. If they say "anything's fine," DERIVE the wow layer (2-3 coordinated signature moments from brand temperature + industry + goal, per `references/foundations/wow.md`); never fall back to a default. - **Never substitute defaults for missing answers.** If the user skips a field, ask again or surface that you'll proceed with a default and what that default is, so they can intervene. - **Always echo back the brief** before generating. Two sentences max: "Here's what I'm building. Stop me if any of this is wrong." @@ -143,4 +143,4 @@ Group these into 2–3 messages of 3–4 questions each. Don't dump all ten in a The plugin's premise is that default model output has measurable, predictable failure modes. The biggest failure mode is **generating without enough constraint to make the output specific to the user's intent**. Asking 5–10 questions takes 2 minutes; it saves a generation that would have been 80% right and 100% rejected. -Apple-clean is not enough. Apple-clean is the floor, not the ceiling. The wow moment is what lifts a clean design into a memorable one — and the wow moment can only come from the user, not from the model. +Apple-clean is not enough. Apple-clean is the floor, not the ceiling. The wow moment is what lifts a clean design into a memorable one, and when the user does not supply one, the model derives it (per `references/foundations/wow.md`), never settling for a forgettable default.

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