What system dependencies are required for YouTube Clipper?

You need yt-dlp for downloading, FFmpeg (preferably ffmpeg-full for libass support), and Python 3 with the pysrt library installed.

Where are the processed clips saved?

All outputs, including original clips, subtitled versions, and summaries, are organized into a timestamped 'youtube-clips' directory within your current working path.

Can it process videos that don't have uploaded subtitles?

Yes, the skill is designed to fall back to YouTube's auto-generated subtitles if a manual English subtitle track is not available.

Does it support languages other than Chinese and English?

The current workflow is optimized for English-to-Chinese translation, but the underlying script can be adapted for other language pairs supported by the Claude model.

How does the AI determine the best places to cut the video?

The skill analyzes the full transcript for semantic transitions and topic shifts to ensure segments are logically complete rather than just cutting at fixed time intervals.

YouTube Clipper

Name: YouTube Clipper
Author: monmacllcapp

bymonmacllcapp

0•

Content Management

Automates downloading, semantic chapter analysis, and clipping of YouTube videos with AI-generated bilingual subtitles and summaries.

YouTube Clipper is a comprehensive workflow tool for Claude Code that transforms long-form YouTube videos into high-quality short segments. It integrates yt-dlp for downloading and FFmpeg for precision editing, while utilizing Claude's intelligence to perform deep semantic analysis of subtitles to identify natural 2-5 minute chapters. The skill automates the complex tasks of batch translating English-Chinese subtitles, burning hardcoded bilingual captions, and generating platform-ready social media summaries, making it a powerful asset for content creators and researchers.

Key Features

010 GitHub stars

02Automated downloading of high-resolution YouTube videos and subtitles via yt-dlp

03Automated generation of social media summaries and headlines for each clipped segment

04Professional subtitle burning using FFmpeg libass with optimized path handling

05High-efficiency batch translation for synchronized English-Chinese bilingual subtitles

06AI-powered semantic chapter detection for meaningful 2-5 minute video segments

Use Cases

01Creating educational content with hardcoded bilingual subtitles for language learning and international audiences

02Extracting specific highlights and summaries from technical tutorials or conference keynotes for documentation

03Repurposing long YouTube podcasts or interviews into viral short-form clips for TikTok, Reels, or Douyin

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add monmacllcapp/skill-forks youtube-clipper

For use in Claude.ai and ChatGPT

Download Skill