Agent skill · Media & Video

video-frames

Extract frames or short clips from videos using ffmpeg.

Health-Yanggithub.com/Health-YangGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add Health-Yang/MineEcho --skill video-frames --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: yes
Path: vendor/openclaw-gateway/skills/video-frames/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 248
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Video Frames (ffmpeg) Extract a single frame from a video, or create quick thumbnails for inspection. ## Quick start First frame: ```bash {baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg ``` At a timestamp: ```bash {baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg ``` ## Notes - Prefer `--time` for "what is happening around here?". - Use a `

More from MineEcho
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About this skill
What does the video-frames skill do?

Extract frames or short clips from videos using ffmpeg.

How do I install it?

Run `npx skills add Health-Yang/MineEcho --skill video-frames --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Health-Yang/MineEcho, a repository with 248 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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