knowledge-extractionlisted

# knowledge-extraction Structured knowledge extraction from any long-form source: books, papers, articles, or Markdown documents. Two-phase approach: - **Phase A (Extract)**: key claims with citations, named frameworks and mental models, actionable takeaways, open questions, and follow-up reads. - **Phase B (Spaced Repetition)**: converts Phase A claims into Anki/Mochi- compatible flashcards (Q/A format with tags and review interval hints). Cards are stored at `~/.config/walter-os/state/knowledge/YYYY-MM/<source-slug>.md` (out-of-repo, operator-private). No actual Anki or Mochi sync — the operator imports the file manually. ## When to use this skill - You have finished a book or paper and want to extract and retain the key ideas. - You are reading a long article and want to convert it into a structured knowledge document. - You want to build Anki/Mochi flashcards from your reading notes. - You want to surface past extractions for review via `weekly-review-coach`. - You are doing research and want a structured output before synthesizing across multiple sources. ## When NOT to use this skill - You need to synthesize multiple interview transcripts (use `customer-interview-synthesizer`). - You need a market research report or competitive analysis (use `competitor-radar`). - You need to write an essay or long-form piece from your notes (use `long-form-content`). - You are extracting technical API documentation (use the relevant infrastructure skill or `postg