youtube-clipper

Installation
Summary

Intelligent YouTube video clipper with AI-powered chapter analysis, subtitle translation, and batch processing.

  • Downloads videos and English subtitles, then uses Claude to generate fine-grained chapters (2–5 minute segments) by analyzing subtitle semantics and identifying natural topic transitions
  • Supports bilingual subtitle generation (English + Chinese), subtitle burning to video with styled overlays, and social media summary generation for each clip
  • Handles environment detection for yt-dlp, FFmpeg with libass support, and Python dependencies; provides clear installation guidance if tools are missing
  • Optimizes subtitle translation with batch processing (20 subtitles per API call) to reduce costs by 95% while maintaining consistency and accuracy
  • Organizes output into per-chapter directories with multiple file formats: raw clips, hardcoded subtitle versions, SRT files, and markdown summaries
SKILL.md

YouTube 视频智能剪辑工具

Installation: If you're installing this skill from GitHub, please refer to README.md for installation instructions. The recommended method is npx skills add https://github.com/op7418/Youtube-clipper-skill.

工作流程

你将按照以下 6 个阶段执行 YouTube 视频剪辑任务:

阶段 1: 环境检测

目标: 确保所有必需工具和依赖都已安装

  1. 检测 yt-dlp 是否可用
    yt-dlp --version
    
Installs
2.8K
GitHub Stars
1.9K
First Seen
Jan 22, 2026