video-frames

Extract frames or short clips from videos using ffmpeg.

95 stars

Best use case

video-frames is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Extract frames or short clips from videos using ffmpeg.

Teams using video-frames should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/video-frames/SKILL.md --create-dirs "https://raw.githubusercontent.com/luyike221/xiaohongshu-mcp-python/main/openclaw/skills/video-frames/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/video-frames/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How video-frames Compares

Feature / Agentvideo-framesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Extract frames or short clips from videos using ffmpeg.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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 `.jpg` for quick share; use `.png` for crisp UI frames.

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