youtube-to-writer
Scrapes a YouTube channel — current project is one channel, 876 videos and counting. Converts transcripts into a database, refines them through a learned keyword list and correction process, then researches across the full library to write new content — books, articles — in the speaker’s voice using a profile built from their existing published work. No database server, no orchestration. Four skills and a folder of markdown files.
SCRAPE YouTube API → transcript extraction
(876 videos, growing)
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CLEAN learned keyword list, correction rules
normalize names, terminology, references
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INDEX categorize by topic, build keyword index
← searchable across full library
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RESEARCH cross-reference topics across 876 talks
assemble source material for new content
← this is where the value is
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WRITE voice profile from published work
→ books, articles in the speaker's voiceClaude · markdown only