Individual skill
extracting-structure
The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this recording", "turn this screen recording into a bug report", "how strong is my intro/hook". Use this for deterministic extraction from the index — chapters with timestamps, a fileable bug report with the exact frame, or a scored hook analysis.
skills/extracting-structure/SKILL.md
Source commit f1317c8fe64744a606c31867b05fbbe3144268c6
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- Last checked
- Nov 10, 2026
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- Repository stars (not skill ratings)
- 564
- Repository last updated
- Oct 26, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- computer-vision Repository topic
- mcp Repository topic
- multimodal Repository topic
- ocr Repository topic
- video-understanding Repository topic
- python Repository topic
- speech-to-text Repository topic
- video-analysis Repository topic
- agent-observability Repository topic
- engineering Derived category
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# Extracting structure
Three extractors turn an already-watched video into something structured.
All of them answer straight from the persistent index — deterministic, no
extra model calls. The video must be watched first (see `watching-videos`).
## Chapters
```bash
watch-skill extract chapters <video_id-or-source>
```
Titled chapters with start/end timestamps, built from scene changes plus
transcript topic shifts. Good for long tutorials, lectures, meetings —