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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.
| Date | Stars |
|---|---|
| 2026-07-31 | 12913 |
| 2026-08-01 | 12913 |
| 2026-08-02 | 13456 |
| 2026-08-06 | 13456 |
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# /watch **Give Claude the ability to watch any video.** Claude Code (recommended — auto-updates via marketplace): ``` /plugin marketplace add bradautomates/claude-video /plugin install watch@claude-video ``` Codex, Cursor, Copilot, Gemini CLI, or any of 50+ [Agent Skills](https://agentskills.io) hosts: ```bash npx skills add bradautomates/claude-video -g ``` (`-g` installs globally for your user, available across all projects. Drop it to scope per-project.) More install options (claude.ai web, manual) in the [Install](#install) section below. Zero config to start — `yt-dlp` and `ffmpeg` install on first run via `brew` on macOS (Linux/Windows print exact commands). Captions cover most public videos for free. Whisper API key is only needed when a video has no captions. --- Claude can read a webpage, run a script, browse a repo. What it can't do, out of the box, is *watch a video*. You paste a YouTube link and it has to either guess from the title or pull a transcript that's missing 90% of what's on screen. With Claude Video `/watch` you can paste a URL or a local path, ask a question, and Claude fetches captions first, downloads only what it needs, extracts frames (scene-aware, or fast keyframes at `efficient` detail), pulls a timestamped transcript (free captions when available, Whisper API as fallback), and `Read`s every frame as an image. By the time it answers, it has *seen* the video and *heard* the audio. ``` /watch https://youtu.be/dQw4w9WgXcQ what happens at the 30 second mark? ``` ## What people actually use it for **Analyze someone else's content.** `/watch https://youtu.be/<viral-video> what hook did they open with?` Claude looks at the first frames, reads the opening transcript, breaks down the structure. Same for ad creative, competitor launches, podcast intros, anything where the *how* matters as much as the *what*. **Diagnose a bug from a video.** Someone sends you a screen recording of something broken. `/watch bug-repro.mov what's going wrong?` Claude watches the recording, finds the frame where the issue appears, describes what's on screen, often catches the cause without you ever opening the file. **Summarize a video.** `/watch https://youtu.be/<long-thing> summarize this` does the obvious thing — pulls the structure, the key moments, what was actually said and shown. Faster than watching at 2x. **Cut the hype out of an update video.** `/watch https://youtu.be/<launch-video> what's actually new — skip the hype` Strip a "game-changer" feature drop down to the few things that matter, so you get the substance without ten minutes of intro and overselling. **Turn a playlist into notes.** `/watch https://youtu.be/<video> summarize this to a note` Run it across a series and file a per-video summary, so a channel or course becomes a searchable set of notes instead of hours you have to sit through. ## How it works 1. **You paste a video and a question.** URL (anything yt-dlp supports — YouTube, Loom, TikTok, X, Instagram, plus a few hundred more) or a local path (`.mp4`, `.mov`, `.mkv`, `.webm`). 2. **`yt-dlp` checks captions first.** At `transcript` detail, captioned URLs return without downloading video. Otherwise, or when Whisper needs audio, it downloads only what the run needs. 3. **`ffmpeg` extracts frames at the chosen detail.** `efficient` decodes keyframes only (near-instant); `balanced`/`token-burner` prefer scene-change frames and fall back to the duration-aware uniform sampler when they under-produce. JPEGs are 512px wide by default and clamped to 1998px tall for Claude Read compatibility. 4. **The transcript comes from one of two places.** First try: `yt-dlp` pulls native captions (manual or auto-generated) from the source. Free, instant, accurate-ish. Fallback: extract a mono 16 kHz 64 kbps mp3 audio clip (~480 kB/min) and ship it to Whisper — Groq's `whisper-large-v3` (preferred — cheaper and faster) or OpenAI's `whisper-1`. 5. **Frames + transcript are handed to Claude.** The script pr
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0ed281b4246dc3d1, llm:repository description: 'Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.' Language: Python
matched fp:0ed281b4246dc3d1, llm:repository description: 'Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.' Language: Python
matched fp:0ed281b4246dc3d1, llm:repository description: 'Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.' Language: Python
matched fp:0ed281b4246dc3d1, llm:repository description: 'Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude.' Language: Python