Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/oxbshw/watch-skill --skill watching-videosAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Watching videos
You don't have a video input; this skill gives you one. Anything a user hands you — a YouTube link, a TikTok, a lecture, a meeting recording, a screen capture, an .mp4 on disk — goes through the same pipeline: frames (scene-aware, deduplicated), OCR, transcript (captions first, local Whisper offline fallback), all persisted into one index.
Before watching: check the index
watch-skill listIf the video was already analyzed — this session or any earlier one — do NOT watch it again. Ask it directly (see the asking-with-evidence skill):
watch-skill ask <video_id> "<question>"One video
watch-skill watch "<url-or-path>" [--start T --end T] [--max-frames N] [--transcript-only]- Works on any yt-dlp-supported site (1800+), direct media URLs, HLS/DASH
manifests (--duration 60 bounds live streams), and local files.
- Video over ~10 minutes and the user cares about one part → use
--start/--end for dense sampling of that window.
- User only needs what was said →
--transcript-only(fastest, often no
video download at all).
The report prints Indexed: <video_id>, frames with t=MM:SS timestamps, OCR text, and the transcript. Read every frame path listed — in a single message, parallel Read calls — then answer from frames + OCR
- transcript, citing timestamps.
Many videos (playlist, channel, folder)
watch-skill batch "<playlist-url-or-folder>" [--limit N]Everything lands in the same index; one broken video never stops the rest. Afterwards a single watch-skill search "<phrase>" spans the whole batch.
First run on a machine
If any command fails with a dependency error, run watch-skill doctor once — it installs missing ffmpeg/yt-dlp itself. No API key is required for any of this; transcription is local by default and the video file never leaves the machine.
