ai-tutor
Tutor through retrieval, spaced review, and the smallest useful hint
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- Updated Jul 2, 2026
Tutor through retrieval, spaced review, and the smallest useful hint
AI Tutor structures learning around retrieval practice, spaced review, interleaving, elaborative questions, and adaptive difficulty rather than immediate answer delivery. Its learn, practice, review, quiz, and explain modes prompt the learner to recall first and offer only the hint needed to continue. It is plain Markdown that can be adapted to several LLM platforms; where file uploads are supported, the learning-science reference files can be added as well.
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Build durable understanding with retrieval practice and spaced review.
Review undergraduate theses across six weighted dimensions
Learn to build Claude skills through a five-level guided tutor
Public GitHub facts last synced Jul 10, 2026.
A Chinese prompt framework that turns complex learning material into a seven-layer Obsidian Canvas.