A Claude skill that lets Claude see, hear and understand any video: YouTube, TikTok, Instagram Reels, X/Twitter, Facebook, Vimeo, Twitch, Reddit and 1800+ other sites via yt-dlp, plus every local video format on your computer (mp4, mov, mkv, webm, avi, wmv, m2ts, 3gp, ...). Ask for summaries, answers with timestamps, quotes, subtitles - or honest feedback on videos you made, including AI-generated ones.
/watchall https://www.tiktok.com/@user/video/123 what makes this go viral?
/watchall my latest video - how can I improve the hook?
/watchall C:\Videos\ad-v3.mp4 check it for AI artifacts
/watchall https://youtu.be/xyz summarise in Swedish with timestamps
URL / file ─► yt-dlp download (or local probe)
─► one low-res decode pass: scene cuts + black frames + frozen frames
─► smart frame picks: strongest cuts first, then fill the largest gaps
─► parallel extraction, near-duplicate removal (perceptual hash)
─► labelled contact sheets (12 frames per image, timestamps burned in)
─► 2 fps "hook" sheet for the first 5 s
─► one audio pass: LUFS, true peak, LRA, silences
─► transcript: platform captions → Groq → local faster-whisper → OpenAI
─► technical QA + platform fit + rule-based findings
─► report.md → Claude reads sheets + transcript and answers
| watchall | typical video skills | |
|---|---|---|
| Local videos | any format + library search ("my latest video") | path only, few formats |
| Speech-to-text without captions | free offline faster-whisper (GPU/CPU), Groq, OpenAI | paid API key needed |
| Frames per image read | contact sheets - 12 timestamped frames per image | 1 frame per read |
| Duplicate frames | removed (static shots don't waste tokens) | kept |
| Black / frozen frames, dead air | detected with timestamps | - |
| Loudness, true peak, clipping | measured (EBU R128) | - |
| Platform fit (TikTok / Reels / Shorts / YouTube / LinkedIn) | checked | - |
| Creator + AI-video review rubric | included (hook, pacing, artifacts, prompts) | - |
| Zoom into a moment | frame --range 12-15 --fps 6 |
re-run whole pipeline |
| TikTok | works (browser impersonation) | often blocked |
| Windows | first-class, auto installs ffmpeg via winget | manual |
| Subtitles out | .srt for every video |
- |
| Cache | per video + options, instant follow-ups | re-download |
Claude Code (plugin):
/plugin marketplace add admjal/claude-watchall
/plugin install watchall@watchall
Claude Code (manual):
git clone https://github.com/admjal/claude-watchall
cd claude-watchall
./install.ps1 # Windows
./install.sh # macOS / Linux
The installer copies the skill to ~/.claude/skills/watchall and installs ffmpeg, yt-dlp,
curl_cffi, Pillow and faster-whisper.
claude.ai: download watchall.skill from Releases (or python tools/build_skill.py) and
upload under Settings → Capabilities → Skills (code execution must be on).
Check anytime: python ~/.claude/skills/watchall/scripts/watchall.py setup
watchall.py <url|file> [--start 1:00 --end 1:30] [--res 1280] [--lang sv]
[--max-frames N] [--hook 5] [--no-transcript] [--fresh]
[--cookies-from-browser edge|chrome|firefox]
[--transcriber auto|captions|local|groq|openai] [--whisper-model small]
watchall.py frame <media> --at 12.5 --at 1:03 | --range 10-14 --fps 4
watchall.py library [--dir PATH] [--name foo] [--days 7] [--probe] [--json]
watchall.py setup [--install] [--whisper] [--update]
watchall.py clean [--days 7 | --all]
Optional keys in ~/.config/watchall/.env: GROQ_API_KEY (fast, cheap cloud Whisper),
OPENAI_API_KEY, WATCHALL_WHISPER_MODEL (tiny/base/small/medium/large-v3).
| Length | Frames | + hook |
|---|---|---|
| ≤ 15 s | 24 | 10 @ 2 fps |
| ≤ 30 s | 30 | 10 |
| ≤ 1 min | 40 | 10 |
| ≤ 3 min | 60 | 10 |
| ≤ 10 min | 80 | 10 |
| longer | 100 → then use --start/--end focus passes |
- Site errors →
watchall.py setup --update(sites change; yt-dlp updates fix it). - Instagram / private / age-gated →
--cookies-from-browser edge(or chrome/firefox). - No transcript →
setup --install --whisper, or setGROQ_API_KEY. - Small text unreadable →
--res 1280orframe --at <t> --res 1920.
Only analyse content you have the right to access. MIT licensed.