op7418/Youtube-clipper-skill
VerifiedAI skill that clips YouTube videos with smart chapters and bilingual subtitles inside Claude.
What is op7418/Youtube-clipper-skill?
Youtube-clipper-skill is a specialized Claude extension that turns natural language requests into polished video clips. It combines yt-dlp for downloads, FFmpeg for precise editing, and Claude's own analysis to split videos into meaningful 2-5 minute segments instead of arbitrary cuts.
The workflow starts with an environment check, downloads the video and subtitles, then lets Claude generate semantic chapters. After the user picks which sections to keep, the skill can translate subtitles into bilingual format, burn them onto the video, and produce ready-to-post summaries.
It is designed for Claude Code users who regularly need short, subtitled clips from long YouTube videos for social media, study notes, or content repurposing.
Capabilities
What you can build with op7418/Youtube-clipper-skill
Tech interview highlights
Turn a long interview into several short clips focused on specific topics like AGI timelines or regional AI gaps, complete with bilingual subtitles for wider reach.
Language learning material
Create bilingual subtitle versions of educational videos so learners can follow along in both English and Chinese while watching the original footage.
Social media repurposing
Quickly produce multiple short clips plus ready-made captions and summaries for platforms such as Xiaohongshu, Douyin, or WeChat.
Install op7418/Youtube-clipper-skill
npx skills add https://github.com/op7418/Youtube-clipper-skillnpx skills add https://github.com/op7418/Youtube-clipper-skill- 1Run the npx command to add the skill to your Claude environment.
- 2Ensure Python 3.8+, yt-dlp, and FFmpeg with libass support are installed on your system.
- 3Open Claude Code and paste a YouTube link with a clipping request.
- 4Review the AI-generated chapters and choose which segments to process.
- 5Let the skill download, clip, translate, and export the final files with subtitles.
Works with
op7418/Youtube-clipper-skill: pros & cons
Pros
- +Semantic chapter detection produces more useful segments than simple time splits.
- +Built-in bilingual subtitle translation reduces API calls significantly.
- +All processing happens locally after the initial download for better privacy.
- +Generates social media content alongside the video files.
Cons
- –Requires manual FFmpeg setup on macOS to enable subtitle burning.
- –Only works inside Claude Code, not as a standalone tool.
- –Chapter quality depends on the accuracy of the original subtitles.
Frequently asked questions
Yes, the skill downloads the full video first and then splits it based on semantic analysis.
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