What problem does it solve?
Many users need the spoken content of YouTube videos converted into usable, skimmable formats for research, social sharing, or publishing, but manually transcribing and restructuring video audio is time-consuming and inconsistent. This Skill automates transcript retrieval, handles language fallbacks and long transcripts, and transforms raw subtitles into chapters, summaries, threads, blog posts, or timestamped quotes so users can quickly extract and repurpose video content.
Core Features & Use Cases
- Transcript fetching from any standard YouTube URL, short link, embed, shorts, live link, or raw 11-character video ID using a helper script.
- Multiple output formats: chapters (timestamped), 5–10 sentence summaries, per-chapter summaries, Twitter/X-style threads, full blog posts, and notable quotes with timestamps.
- Robust handling: language preference and fallback chain, chunking and overlapping summarization for very long transcripts, and simple error messages for disabled or private videos.
- Use Cases: content creators extracting highlights for social posts, researchers summarizing talks, marketers producing blog posts from video interviews, and educators generating reading materials from lectures.
Quick Start
Fetch the transcript for a YouTube URL and produce a 5–10 sentence summary with timestamped chapter headings.