Watch video
Skill kimtth/agent-skill-100-lines-or-less/skills/watch-video
Use when: answer questions about a video URL or local file by seeing its frames and reading its transcript.From its SKILL.md
npx -y skills add kimtth/agent-skill-100-lines-or-less --skill watch-videoAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.6 KB, 372 tokens by cl100k_base, as published. Nobody here has run it
Goal: let the agent actually watch a video instead of guessing from its title or a partial transcript.
Use for:
- analyzing someone else's content (hooks, ad creative, podcast intros) — what was shown and said
- diagnosing a bug from a screen recording — find the frame where it breaks
- summarizing a long video faster than watching at 2x
Inputs:
- a URL anything yt-dlp supports (YouTube, Loom, TikTok, X, Vimeo, ...) or a local path (.mp4, .mov, .mkv, .webm)
- a question to answer
Workflow:
- Download the URL with yt-dlp into a temp dir; probe local files in place.
- Extract frames with ffmpeg at a duration-aware rate. Hard caps: 2 fps, 100 frames.
- <=30s ~30 frames | 30-60s ~40 | 1-3min ~60 | 3-10min ~80 | >10min 100 (sparse).
- Get a timestamped transcript: native captions first (free), Whisper fallback when none exist.
- Read each frame as an image alongside the transcript; both carry t=MM:SS markers.
- Answer grounded in what is on screen and in the audio — not the title or description.
- Clean up the temp working dir unless follow-ups are expected.
Rules:
- Best accuracy under 10 minutes; for longer videos re-run focused on a window with --start/--end.
- Frames drive token cost — narrow the window before raising the frame cap or resolution.
- Bump frame width (e.g. 1024px) only when on-screen text must be read (slides, terminals, code).
- Public URLs and local files only; never log into private platforms.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.