General skillEducation and learning
mastery-loop
Turn study material into active recall with an FSRS review scheduler
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- Updated Jun 20, 2026
MIT
Turn study material into active recall with an FSRS review scheduler
mastery-loop ingests slides, textbooks, PDFs, notes, or a course folder, builds a map from easier to harder material, and creates active-recall items for a daily review session. A real FSRS scheduler interleaves questions, waits for the learner’s answer, handles errors and Feynman checks, and adapts future reviews. Knowledge stays in Markdown and JSON owned by the user, while the scheduler needs Python’s standard library and readers for any binary formats.
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Build durable understanding with retrieval practice and spaced review.
Review undergraduate theses across six weighted dimensions
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Public GitHub facts last synced Jul 10, 2026.
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