Watch Video

Give Claude eyes and ears on any online video, then analyze it. Downloads a video from a URL (YouTube, Instagram, X, Vimeo, and 1000+ yt-dlp sites), extracts key frames, and gets a transcript (native captions, else local Whisper), then hands the frames + timestamped transcript to Claude so it can produce a full breakdown — hook, format, storytelling structure, pacing and visual layout — grounded in what's actually on screen AND said. Pass several URLs to batch-analyze dozens at once and surface the patterns the best ones share. Use whenever the user shares a video link (or many) and wants it w

8 stars 1 forksImages, Video & Audio

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add Ootto-AI/ootto-watch --skill watch-video
Manual install
git clone --depth 1 https://github.com/Ootto-AI/ootto-watch.git /tmp/ootto-watch
mkdir -p ~/.claude/skills
cp -r /tmp/ootto-watch/. ~/.claude/skills/watch-video

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# watch-video — let Claude actually watch a video

Most tools only read a transcript and miss everything visual. This skill gives Claude the **frames + the words, aligned on one timeline**, so it can reason about cuts, on-screen text, demos, and pacing — not just the audio.

## How to use it

When the user gives a video URL:

1. Run the helper (it downloads, samples frames, and transcribes):
   ```
   python scripts/watch.py "<VIDEO_URL>" --out watch_out
   ```
   Useful flags: `--max-frames 60` (cap frames), `--no-whisper` (captions only, fully free/offline), `--every 0` (auto-pace by duration).

2. It writes:
   - `watch_out/frames/f000.jpg …` — sampled frames (named by index)
   - `watch_out/transcript.txt` — the spoken words
   - `watch_out/index.json` — `[{frame, t, file}]` so each frame maps to its timestamp

3. **Read the frames as images** (use the Read tool on the PNG/JPGs) alongside `transcript.txt`, lining each frame up with what's being said at its `t`. Then answer the user's request (summary, breakdown, hook analysis, study notes, a fresh script, etc.) grounded in BOTH the visuals and the audio.

## Analyze — the full breakdown

Once `watch.py` has run, read the frames + `transcript.txt` aligned by `index.json`, then write a structured breakdown. Ground every point in a specific frame `t` and/or transcript line:

- **Hook (first ~3s)** — exactly what's on screen and said in the opening, and *why* it stops the scroll.
Read the full skill on GitHub

Details

Skill name
watch-video
License
MIT
Repo updated
13 August 2026

FAQ

What does the Watch Video skill do?

Give Claude eyes and ears on any online video, then analyze it. Downloads a video from a URL (YouTube, Instagram, X, Vimeo, and 1000+ yt-dlp sites), extracts key frames, and gets a transcript (native captions, else local Whisper), then hands the frames + timestamped transcript to Claude so it can produce a full breakdown — hook, format, storytelling structure, pacing and visual layout — grounded in what's actually on screen AND said. Pass several URLs to batch-analyze dozens at once and surface the patterns the best ones share. Use whenever the user shares a video link (or many) and wants it w

How do I install the Watch Video skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Ootto-AI/ootto-watch --skill watch-video. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Watch Video popular?

It lives in Ootto-AI/ootto-watch, which has 8 GitHub stars and 1 forks.

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