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Watch a video (URL or local path) like an editor. Extracts scene-change frames, pacing metrics (cuts/min, shot length), and a dense 0-10s hook microscope; pulls transcript from captions or Whisper. Produces an ingest-ready `report.md` and, after answering the user, optionally auto-ingests the analysis into your Obsidian vault (configurable via `$WATCH_VAULT_DIR`) — tied to *why* the user watched it.

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Jul 24, 2026
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Observed agent integration: claude-code

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# /watch — Claude watches a video

You don't have a video input; this skill gives you one. A Python script downloads the video, extracts frames as JPEGs (one per detected shot via scene-change), gets a timestamped transcript (native captions first, then Whisper API as fallback), runs editorial pacing metrics, and microscopes the first 10 seconds at higher density. You then `Read` each frame path to see the images, combine them with the transcript to answer the user, fill the structured `report.md`, and offer to ingest the analysis into Taoufik's Second Brain.

## What v2 does differently

- **Scene-change frame sampling** — one frame per detected shot instead of uniform ticks. Cuts the frame budget on long videos while capturing every transition.
- **Editorial pacing metrics** — cuts/min, mean shot length, motion (when available). Lets you reason about pacing the way an editor does.
- **Hook microscope** — first 10s auto-runs at 2 fps + word-level Whisper. The single most leveraged 10 seconds of any video deserves dense treatment.
- **Structured `report.md`** — every watch emits an ingest-shaped report at `<workdir>/report.md` with TL;DR, key moments, hook breakdown, editorial profile, quotable moments, entities, concepts, and transcript. Narrative sections are emitted as `<!-- pending Claude fill: ... -->` markers — you fill them in before offering ingest.
- **Step 4.5 — Ingest gate** — after answering the user, you ask once: "Want to ingest this into your Obsidian vault?" If yes, and a vault is detected, you read `$VAULT_DIR/CLAUDE.md` (if it exists) and run that vault's Ingest op against the report.

None of the above add new dependencies — pure ffmpeg + stdlib + the existing Whisper backend.
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