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description Find highlight clip candidates from prepared transcript artifacts

Find highlight clip candidates for: $@

Workflow:

  1. Identify the target episode slug and the matching transcript directory or prepared transcript artifacts.
  2. If dist/analysis/<slug>/transcript_chunks.md or dist/analysis/<slug>/transcript_index.json do not exist yet, run: uv run python scripts/prepare_transcript_analysis.py <transcript-dir> --output-dir dist/analysis/<slug> --slug <slug> --plain-output-names
  3. Read the prepared transcript artifacts. For long transcripts, use the chunk index first and then inspect the most promising chunk sections.
  4. Use pi-driven judgment to identify clip candidates with a hook, payoff, and clean ending.
  5. Write the final report to dist/analysis/<slug>/clips.md.
  6. Reply with the output path and a brief summary of the strongest candidates.

Output expectations:

  • prioritize clips that would work for social, trailers, or cold opens
  • prefer clips in the 30-120 second range unless there is a strong reason to go outside it
  • include a short title for each clip
  • include exact start and end timecodes plus approximate duration
  • include a short rationale for why the clip works
  • optionally include a key quote or excerpt if it helps the editor

Quality bar:

  • avoid repetitive or context-heavy moments that will not stand alone
  • prefer moments with tension, surprise, a strong opinion, or a clear payoff
  • rank or clearly label the best few candidates