YouTube Clipper Skill
Skill ActiveYouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video
To efficiently extract and repurpose content from long YouTube videos by leveraging AI for intelligent chaptering and automated editing tasks.
Features
- AI-powered semantic chapter generation (2-5 min granularity)
- Precise video clipping with FFmpeg
- Bilingual subtitle translation and generation (EN/ZH)
- Subtitle burning into video with customizable styles
- Automated social media content summarization (Xiaohongshu, Douyin, WeChat)
Use Cases
- Creating short video clips from interviews or lectures
- Generating bilingual subtitle versions of YouTube videos
- Repurposing long-form video content for social media platforms
- Quickly extracting key information segments from educational or informational videos
Non-Goals
- Editing videos beyond segment clipping
- Translating video audio content directly
- Creating video thumbnails or cover art
- Live streaming or real-time video processing
Workflow
- Environment Check
- Download Video and Subtitles
- AI Chapter Analysis
- User Selection
- Clip Video, Translate Subtitles, Burn Subtitles, Generate Summary
- Output Results
Practices
- AI analysis
- Video processing
- Subtitle management
- Content repurposing
Prerequisites
- Python 3.8+
- yt-dlp (latest)
- FFmpeg with libass support (ffmpeg-full on macOS)
- Claude Code environment
Maintenance
- warning:Commit recencyThe last commit was on January 22, 2026, which is over 3 months ago, suggesting potential staleness.
Trust
- info:Issues AttentionThere were 1 open issue and 0 closed issues in the last 90 days, indicating low recent activity but no significant backlog.
Installation
npx skills add op7418/Youtube-clipper-skillRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
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