Forced Narrative Exact

Produce a complete forced-narrative inventory whose text is literal and whose start/end boundaries are source-frame accurate. Use OCR only to discover candidates; the agent must inspect the pictures and approve every cue.

Prefer this skill over vision-analysis when the deliverable is an exhaustive, frame-accurate burned-in dialogue inventory (Markdown/JSON/CSV/SRT) with exclusive-end frame QC. Use vision-analysis for broader on-screen text/graphics inventories from interval or shot frames.

Required reading

Before analyzing frames or publishing a report, read:

• references/report-contract.md for inclusion, transcription, timing, and QC rules.
• references/formats.md before creating a seed or override JSON.

Inputs and dependencies

• Accept a local video readable by ffmpeg and ffprobe.
• Require tesseract; the scripts use uv run to provide Python packages.
• Require an image-capable agent for final transcription and visual QC. If image viewing is unavailable, stop after the candidate scan and state that the result is not publication-ready.
• Write outputs beneath $MEDIASKILLS_DATA_DIR/generated/ when set, otherwise .mediaskills/generated/ in the current workspace.