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Skill

/video-frames

Extract frames or short clips from videos using ffmpeg.

BOOST
From plugin
xiaohongshu-mcp-python
14660 skills
Install
$ npx -y skills add luyike221/xiaohongshu-mcp-python --skill video-frames --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/video-frames

Context preview

The summary Claude sees to decide when to auto-load this skill.

Extract frames or short clips from videos using ffmpeg.

SKILL.md

video-frames.SKILL.md
name: video-frames
description: Extract frames or short clips from videos using ffmpeg.
homepage: https://ffmpeg.org
metadata:
  {
    "openclaw":
      {
        "emoji": "🎬",
        "requires": { "bins": ["ffmpeg"] },
        "install":
          [
            {
              "id": "brew",
              "kind": "brew",
              "formula": "ffmpeg",
              "bins": ["ffmpeg"],
              "label": "Install ffmpeg (brew)",
            },
          ],
      },
  }

Video Frames (ffmpeg)

Extract a single frame from a video, or create quick thumbnails for inspection.

Quick start

First frame:

{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg

At a timestamp:

{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.
Ships withxiaohongshu-mcp-python

xiaohongshu-mcp-python 是一个基于现代 Python 技术栈开发的小红书内容自动化发布工具,通过 Model Context Protocol(MCP)协议为 AI 客户端提供强大的小红书操作能力。项目核心功能包括小红书账户登录管理、图文内容发布、视频内容发布、内容搜索与获取、帖子详情查看以及评论互动等。支持多种图片格式(JPG、PNG、GIF)和视频格式(MP4、MOV、AVI),既可处理本地文件路径,也支持 HTTP/HTTPS 链接,为用户提供灵活的内容发布方案。 该工具特别适合内容创作者、营销人员和开发者使用,能够显著提升小红书内容发布的效率和自动化程度。通过标准化的 MCP 接口,用户可以轻松地将小红书操作能力集成到各种 AI 工作流中,实现智能化的内容管理

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