Individual skill

watch

Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or local WhisperX / cloud Whisper fallback), and hands the result to the agent so it can answer questions about what's in the video. With a Gemini API key, Google's agentic video model watches the full video instead.

skills/watch/SKILL.md

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Network or broad shell
Last checked
Nov 9, 2026

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20,392
Repository last updated
Sep 25, 2026
License
MIT

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# /watch

Run the bundled Python script. With the **gemini** engine (a `GEMINI_API_KEY` is configured) Google's video model watches the video and the report carries its timestamped answer for you to relay. With the **local** engine the script produces timestamped frames and a transcript; view the frames and answer from that evidence. Native captions come first; the chosen local or cloud backend is only a fallback. Transcript-only evidence cannot establish visual facts.

## Resolve the skill and interpreter

`SKILL_DIR` is the absolute directory containing this SKILL.md; `scripts/` sits beside it.

Commands below use `python3` for macOS/Linux. On Windows, verify a working Python 3.10+ with `python --version` or `py -3 --version` and use that interpreter. `python3` is not always a Store alias; inspect the actual result. In PowerShell use `$SKILL_DIR` rather than Bash variable syntax, for example:

```powershell
python "$SKILL_DIR/scripts/setup.py" --json
```
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