knowledge-extraction

To turn research notes into Anki flashcards, the Skill extracts key claims and citations from your source text in a first pass, then runs a second pass to convert those structured claims into spaced-repetition Q/A cards formatted for Anki or Mochi.

The best way to extract claims and frameworks from long-form articles is using a two-phase extraction process that captures key claims with citations and confidence, then generates named mental models and actionable takeaways from the source.

Yes, you can generate spaced repetition cards from Markdown documents. The Skill applies its extraction logic to books, papers, articles, or Markdown files to produce structured claims before converting them into Q/A flashcards.

Yes, you need to supply the source text and metadata to extract knowledge from a book chapter. The Skill requires an output slug alongside your input to organize the generated claims documents and flashcards into local Markdown files.

The knowledge extraction outputs Markdown documents containing structured claims, frameworks, and Q/A flashcards. These files are written to a local state directory, allowing you to manually import the spaced-repetition cards into Anki or Mochi.