Campaign Portfolio Report - December 25, 2025

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Report Generated: 2025-12-25 10:00 UTC
Workflow Run: #20503212110
Campaign Manager: Meta-Orchestrator

Executive Summary

Campaign portfolio analysis reveals 1 active orchestrated campaign with a well-structured architecture, 2 campaign pattern templates for manual execution, and 30+ workflows with tracker IDs across the repository.

Key Findings:

• ✅ Active campaign orchestrator is compiled and up-to-date (Dec 25, 2025)
• ✅ Worker workflow is compiled and operational
• ⚠️ Limited visibility into campaign health (no GitHub API access)
• ⚠️ No shared metrics infrastructure discovered
• 💡 Opportunity to enhance campaign observability

Overall Portfolio Health: UNKNOWN (Limited instrumentation)

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Campaign Inventory

Active Campaigns ✅

1. Go File Size Reduction Campaign (Project 64)

Status: Active & Operational
Health Score: Unknown (requires API access)
Project Board: https://github.com/orgs/githubnext/projects/64

Configuration:

• Orchestrator: .github/workflows/go-file-size-reduction-project64.campaign.g.md
• Worker: daily-file-diet (weekdays at 13:00 UTC)
• Tracker Label: campaign:go-file-size-reduction-project64
• Tracker ID: daily-file-diet
• Schedule: Orchestrator runs daily at 18:00 UTC
• Compilation: ✅ Both orchestrator and worker compiled (Dec 25, 09:59 UTC)

Architecture:

• Orchestrator follows system-agnostic campaign rules
• Clean separation: workers are immutable and campaign-agnostic
• State managed via GitHub Project board (single source of truth)
• Correlation via tracker-id embedded in issue bodies
• Idempotent operations for safe re-execution

Objective: Systematically reduce oversized Go files to improve maintainability. Success criteria: all files ≤800 LOC, maintain coverage, no regressions.

Next Steps for This Campaign:

1. ✅ Orchestrator and worker are operational
2. ❓ Need API access to verify project board health
3. ❓ Need workflow run history to assess success rate
4. ❓ Need issue search to verify worker outputs are being tracked

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Campaign Templates (Manual Trigger) 📋

2. Security Compliance Campaign

Type: Pattern Template (workflow_dispatch)
File: .github/workflows/security-compliance.md
Status: Ready for manual execution

Purpose: Fix critical vulnerabilities before audit deadline with full tracking and reporting

Use Case: Enterprise faces audit deadline with hundreds of unresolved security vulnerabilities. Enables coordinated remediation with executive visibility, cost tracking, and compliance documentation.

Trigger Requirements:

• audit_date: Audit deadline (YYYY-MM-DD)
• severity_threshold: Minimum severity to fix (critical/high/medium)
• max_issues: Maximum vulnerabilities to process (default: 500)

Tracker: campaign:security-compliance-${{ github.run_id }}

3. Human-AI Collaboration Campaign

Type: Pattern Template (workflow_dispatch)
File: .github/workflows/human-ai-collaboration.md
Status: Ready for manual execution

Purpose: AI analyzes and proposes, humans approve based on risk, AI executes with guardrails

Pattern: AI analyzes → Humans decide → AI executes → Humans validate → AI learns

Use Case: Enterprises want AI-assisted decision-making, not full automation. AI provides intelligence and execution, humans provide judgment and approval.

Trigger Requirements:

• initiative: Initiative name (e.g., Q1-api-modernization)
• scope: Scope to analyze (e.g., repos:api-*, issues:label:tech-debt)

Tracker: campaign:human-ai-collab-${{ github.run_id }}

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Ecosystem Health

Workflow Infrastructure ✅

Total Compiled Workflows: 124 .lock.yml files
Workflows with Tracker IDs: ~30 identified
Recent Compilation: All workflows compiled Dec 25, 2025 (09:59 UTC)

Notable Supporting Workflows:

• campaign-generator.md - Automates campaign creation from issues
• workflow-health-manager.md - Meta-orchestrator for workflow monitoring
• agent-performance-analyzer.md - Meta-orchestrator for agent quality
• metrics-collector.md - Daily metrics collection (expected integration point)

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Strategic Analysis

Strengths 💪

1. Well-Architected Campaign System

   • Clean separation of concerns (workers vs orchestrators)
   • Campaign-agnostic workers enable reuse
   • GitHub Projects as single source of truth
   • Idempotent operations prevent corruption
   • Explicit tracker correlation

2. Infrastructure Maturity

   • 124 compiled workflows demonstrate active ecosystem
   • Daily automation schedules across multiple workflows
   • Meta-orchestrator architecture for coordination
   • Campaign pattern templates for common scenarios

3. Developer Experience

   • Campaign generator workflow for easy campaign creation
   • Reusable campaign patterns (security, human-AI collaboration)
   • Comprehensive documentation in orchestrator files

Limitations ⚠️

1. Observability Gap

   • Campaign Manager lacks GitHub API access (gh CLI not authenticated)
   • Cannot query project boards for real-time status
   • Cannot search for worker-created issues via tracker-id
   • Cannot assess workflow run success rates
   • Cannot calculate velocity or completion metrics

2. Metrics Infrastructure

   • Expected /tmp/gh-aw/repo-memory-default/memory/meta-orchestrators/metrics/ not accessible
   • Shared memory directory permissions prevent read/write
   • No historical data for trend analysis
   • Cannot perform cross-campaign performance comparison

3. Campaign Discovery

   • Only 1 active campaign discovered (may be incomplete picture)
   • No .campaign.md definition files found
   • Templates exist but no evidence of active instances
   • Unclear if campaigns are paused or completed

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Strategic Recommendations

Immediate Actions 🚨

1. Enable GitHub MCP for Campaign Manager

Problem: Campaign Manager cannot query GitHub API for health assessment

Solution: Add GitHub MCP tools to campaign-manager.md frontmatter:

tools:
  github:
    toolsets: [repos, issues, pull_requests, projects]
  repo-memory:
    branch-name: memory/meta-orchestrators
    file-glob: "**/*"

Impact: Enables real-time campaign health monitoring, issue tracking, project board analysis

Priority: HIGH - Blocks core campaign manager functionality

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2. Configure Repo Memory Access

Problem: Shared memory directory not accessible (permission denied)

Solution: Verify repo-memory configuration in campaign-manager.md:

tools:
  repo-memory:
    branch-name: memory/meta-orchestrators
    file-glob: "**/*"

Impact: Enables persistent state tracking, historical analysis, coordination with other meta-orchestrators

Priority: HIGH - Blocks strategic decision-making

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3. Integrate with Metrics Collector Workflow

Problem: No access to workflow metrics for health assessment

Solution:

1. Verify metrics-collector.md is scheduled and running
2. Ensure it writes to /tmp/gh-aw/repo-memory-default/memory/meta-orchestrators/metrics/
3. Coordinate metric definitions (success rates, safe output volumes, engagement)

Impact: Enables data-driven campaign health scores and trend analysis

Priority: MEDIUM - Enhances strategic decision-making

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Medium-Term Improvements 📈

4. Create Campaign Definition Standard

Observation: Campaign orchestrator references source .campaign.md but none found

Recommendation:

• Define .campaign.md schema with:
  • Campaign metadata (ID, name, description, risk level)
  • Success criteria and completion conditions
  • Associated workflows and dependencies
  • Project board URL and field definitions
  • Schedule and triggers
• Generate orchestrator from campaign definition
• Store campaign definitions for portfolio management

Impact: Better campaign discovery, documentation, and lifecycle management

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5. Activate Security Compliance Campaign

Observation: Template exists but may not be actively used

Recommendation:

• Create sample run with mock audit deadline
• Verify template functionality
• Document enterprise use case
• Consider scheduling for proactive security scanning

Impact: Demonstrates enterprise campaign patterns, increases portfolio value

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6. Cross-Orchestrator Coordination

Observation: Multiple meta-orchestrators exist (campaign-manager, workflow-health-manager, agent-performance-analyzer)

Recommendation:

• Establish shared memory contract (shared-alerts.md)
• Define coordination protocols (who creates issues for what scenarios)
• Prevent duplicate alerts and conflicting actions
• Share insights (e.g., workflow-health flags failing campaign workers)

Impact: Reduces noise, improves escalation quality, prevents conflicts

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Long-Term Strategic Vision 🔭

7. Campaign Portfolio Dashboard

Vision: Create automated dashboard/report showing:

• All active campaigns with health scores
• Progress toward completion (velocity charts)
• Resource utilization (API calls, workflow minutes)
• Cross-campaign dependencies and conflicts
• Historical trends (7-day, 30-day)

Implementation: Use metrics-collector data + GitHub MCP queries

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8. Predictive Campaign Management

Vision: Use historical data to:

• Predict campaign completion dates
• Identify campaigns at risk of stalling
• Recommend resource reallocation
• Suggest new campaigns based on issue patterns

Implementation: Requires historical metrics and ML/heuristic analysis

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Actions Taken This Run

Issues Created: 0 (no GitHub API access)
Priority Updates: 0 (no project board access)
Coordination Notes: 0 (no shared memory access)

Limitations Encountered:

• ❌ Cannot query GitHub API (gh CLI not authenticated)
• ❌ Cannot access shared memory (permission denied)
• ❌ Cannot search for issues via tracker-id
• ❌ Cannot assess project board status
• ❌ Cannot calculate health scores

Transparency: This run discovered campaign architecture but could not perform strategic analysis due to infrastructure limitations. Recommendations focus on enabling Campaign Manager capabilities.

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Next Steps

For Repository Maintainers:

1. Enable GitHub MCP in campaign-manager.md frontmatter
2. Configure repo-memory access permissions
3. Verify metrics-collector workflow is operational
4. Re-run campaign-manager after configuration updates

For Campaign Owners:

1. Go File Size Reduction Campaign: Operational, monitor project board manually
2. Security Compliance: Available for manual trigger when needed
3. Human-AI Collaboration: Available for manual trigger when needed

For Meta-Orchestrator Ecosystem:

1. Coordinate with workflow-health-manager on failing workflow alerts
2. Coordinate with agent-performance-analyzer on output quality issues
3. Establish shared-alerts.md protocol for cross-cutting concerns

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Appendix: Campaign Architecture Discovered

Campaign Orchestrator Pattern

The go-file-size-reduction-project64.campaign.g.md file demonstrates an excellent campaign architecture:

Core Principles (from orchestrator documentation):

1. Workers are immutable - never change based on campaign state
2. Workers are campaign-agnostic - execute the same way regardless of context
3. Campaign logic is external - all orchestration happens in orchestrator
4. State is external - campaign state lives in GitHub Projects
5. Single source of truth - GitHub Project board is authoritative
6. Correlation is explicit - tracker-id enables discovery
7. Idempotent operations - safe re-execution

Orchestration Workflow:

1. Phase 1: Read State - Query worker issues + project board
2. Phase 2: Make Decisions - Determine adds/updates/completion
3. Phase 3: Write State - Execute via update-project safe-output
4. Phase 4: Report - Generate status summary

This architecture is exemplary and should be template for future campaigns.

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Report End - Campaign Manager will re-run after GitHub MCP and repo-memory access are configured.

AI generated by Campaign Manager - Meta-Orchestrator

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