Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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Use when creating, testing, or updating active-recall flashcards grounded in session concepts to reinforce retention.
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See how to installReview the instructions the agent will receive before you install.
Convert session concepts into structured active-recall flashcards. Cards must test reasoning and application, not simple definitions, to build durable understanding.
spaced-repetition needs card generation/update. Revision period (exam, interview, milestone).deep-dive. Active debugging/project work → would interrupt flow.spaced-repetition for scheduling. Cards failed 3 times → trigger misconception-detector.Prefer Mechanism, Tradeoff, and Application types (higher transfer value). At least 60% of cards should be these types.
misconception-detector.Card generation: topic, date, cards (front + back + type + difficulty). Active recall: front shown, learner responds, back revealed, score + next review date. Format naturally.
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Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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Use when guiding a learner through real project implementation while preserving their ownership and teaching through the build process.
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Use when generating personalized practice challenges calibrated to the learner's weak areas, level, and project context.
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Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.
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Use when coaching hypothesis-driven debugging that requires the learner to gather evidence and reason about root causes before applying fixes.
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Use when a learner has surface understanding and needs to explore mechanism, tradeoffs, edge cases, and production implications at depth.
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