Claude Watch
- 527 repo stars
- Updated July 24, 2026
- taoufik123-collab/claude-watch
claude-watch is a Claude Code plugin and skill that downloads videos, extracts frames and transcripts, and lets assistants answer from visual and audio evidence via /watch.
About
claude-watch is a Claude Code marketplace plugin that gives agents true video comprehension by downloading sources, sampling frames, and pairing transcripts before analysis. It targets research-style questions such as hook structure, competitor creative breakdowns, bug repro recordings, and fast summarization of long uploads. Install it when pasted YouTube or Loom links are useless without actually seeing frames and hearing audio.
- /watch command downloads via yt-dlp and extracts duration-aware ffmpeg frames
- Scene-change detection bounds frame count on long videos for token control
- 0-10s hook microscope with dense frames and word-level Whisper transcript
- Optional Obsidian auto-save when WATCH_VAULT_DIR or vault autodetect succeeds
Claude Watch by the numbers
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| repo stars | ★ 527 |
|---|---|
| Last updated | July 24, 2026 |
| Repository | taoufik123-collab/claude-watch ↗ |
How can an agent analyze what happens in a video when titles and sparse captions miss most on-screen detail?
Let Claude download a video URL, extract scene frames and transcripts, and answer questions grounded in what was seen and heard.
Who is it for?
Developers who frequently review screen recordings, tutorials, or competitor videos inside Claude Code or compatible skill hosts.
Skip if: Workflows banned from downloading media or environments that cannot install yt-dlp and ffmpeg.
What you get
Frame set, timestamped transcript, structured report.md, and optional Obsidian vault ingest of the watch session.
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
Recommended Marketplaces
FAQ
What surfaces are supported?
README documents Claude Code marketplace install, claude.ai skill upload, Codex clone path, and manual skill directory install.
How are frames chosen?
scripts/frames.py uses ffmpeg scene-change detection rather than uniform every-N-seconds sampling to cap token use.
When is Whisper required?
Native captions via yt-dlp are tried first; Whisper API is fallback when captions are missing per README.