YouTube Video Summarizer
Extracts transcripts and metadata from YouTube videos to generate concise summaries and key insights.
This skill empowers Claude to analyze YouTube content by automatically fetching video transcripts, captions, and metadata using the yt-dlp engine. It bridges the gap between video content and text-based AI analysis, allowing users to quickly grasp the core concepts of lectures, tutorials, or podcasts without manual watching. By handling transcript cleaning, multi-language extraction, and chapter data, it streamlines the process of transforming raw video data into actionable summaries or structured documentation directly within your AI-assisted workflow.
주요 기능
01500 GitHub stars
02Chapter extraction to navigate and summarize specific video segments
03Multi-language support for extracting subtitles in various international languages
04Comprehensive video metadata retrieval including views, duration, and channel info
05Automated transcript extraction for both manual and auto-generated captions
06Built-in text cleaning to prepare raw transcripts for optimal LLM analysis
사용 사례
01Converting video-based podcasts or webinars into structured written documentation
02Summarizing long technical tutorials or educational lectures for quick reference
03Extracting key points and data from YouTube content without watching the full duration