youtube-clipper

Clip YouTube videos into bilingual subtitled segments with summaries.

2.1k|305|Updated Jan 22, 2026

Search Tags:#ai #translation #youtube #semantic #social-media #clip #subtitle

Ready to run

npx skills add https://github.com/op7418/Youtube-clipper-skill --skill youtube-clipper-op7418

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: youtube-clipper
Source: https://github.com/op7418/Youtube-clipper-skill/tree/main
Command: npx skills add https://github.com/op7418/Youtube-clipper-skill --skill youtube-clipper-op7418

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yt-dlp, pysrt, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the process of turning long YouTube videos into concise, semantically meaningful clips with bilingual subtitles, plus auto-generated summaries for social media.

Core Features & Use Cases

AI Semantic Chapter Analysis: Generate 2-5 minute chapters with meaningful titles and summaries.
Precise Clipping and Subtitles: Clip segments with FFmpeg and translate/burn subtitles as needed.
Bilingual Subtitles and Social Content: Produce bilingual SRTs and social media-ready summaries for multiple platforms.

Quick Start

Clip this YouTube video URL and generate a short, bilingual clip with burned subtitles and a social-media summary.

Frequently Asked Questions about youtube-clipper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I clip YouTube videos into short segments with bilingual subtitles?▼

To clip YouTube videos into short segments with bilingual subtitles, this skill uses yt-dlp for downloading and FFmpeg for clipping, then generates and burns translated SRT subtitles directly into the video.

Can I automatically generate semantic chapters from a long YouTube video?▼

Yes, you can automatically generate semantic chapters from a long YouTube video. The AI analyzes the content to produce 2-5 minute chapters with meaningful titles and summaries for easy segmentation.

Does this YouTube clipping workflow require FFmpeg and yt-dlp to burn subtitles?▼

Yes, this YouTube clipping workflow requires FFmpeg and yt-dlp to burn subtitles. It uses yt-dlp for downloading and FFmpeg with libass enabled for clipping and burning subtitles into the video.

What is the best way to create social media-ready clips from YouTube content?▼

The best way to create social media-ready clips from YouTube content is using an AI-powered workflow that generates concise clips, bilingual subtitles, and automated summaries tailored for multiple social platforms.

How does AI semantic analysis work for segmenting YouTube videos?▼

AI semantic analysis for segmenting YouTube videos works by leveraging Claude-based AI to process the video content, identifying natural topic boundaries to generate precise 2-5 minute chapters with titles and summaries.

Are there limitations when translating and burning subtitles for YouTube clips?▼

Limitations when translating and burning subtitles for YouTube clips include dependency on libass-enabled FFmpeg for rendering and the accuracy of Claude-based AI for generating precise bilingual SRT files and translations.