Automates the transcription and indexing of YouTube videos into a searchable knowledge base using Gemini AI.
The YouTube Knowledge Indexer skill enables Claude to 'watch' and learn from video content by automating the process of transcription and indexing. By leveraging Gemini's native video understanding via browser automation, it extracts metadata, generates high-fidelity transcripts with timestamps, and saves the output into a structured 'Oracle' memory system. This is an essential tool for developers and researchers who need to transform technical tutorials, conference talks, or educational videos into actionable, searchable Markdown documentation without manual note-taking.
Key Features
01Direct indexing into local Oracle knowledge base for future retrieval
02Cross-check mode for verifying existing YouTube auto-captions
033 GitHub stars
04Automated metadata extraction using yt-dlp integration
05Automated browser navigation and interaction with Gemini UI
06High-fidelity Gemini-powered transcription with timestamp support
Use Cases
01Creating a personal library of learnings from educational YouTube content
02Summarizing developer conference talks and indexing key takeaways
03Converting technical video tutorials into searchable internal documentation
