Transforms YouTube video transcripts into professionally structured and skimmable Markdown reference documents.
This skill automates the extraction and synthesis of YouTube content by downloading subtitles and gathering metadata using yt-dlp, then utilizing a sub-agent to reformat raw transcripts into high-quality, structured notes. It is designed for developers, researchers, and students who need to quickly digest technical talks, tutorials, or presentations without watching the full video. The resulting documents include APA-style titles, YAML frontmatter for easy indexing, and a hierarchical structure optimized for rapid skimming and long-term knowledge management.
主要功能
01Metadata harvesting including title, channel, duration, and upload date
02Automated subtitle extraction and conversion using yt-dlp
03APA-style document naming and YAML frontmatter for personal knowledge bases
043 GitHub stars
05Sub-agent processing to convert raw spoken word into structured written prose
06Automatic cleanup of temporary subtitle files after processing
使用场景
01Converting technical conference talks into searchable written documentation
02Building a local library of video summaries for offline research and reference
03Creating step-by-step written guides from video-based coding tutorials
