Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
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Use when logging, scoring, and triaging a learner's persistent weak areas to drive intervention selection.
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Maintain a prioritized, evidence-based log of topics where the learner consistently struggles. Drives which skills to activate next and prevents ignoring recurring problems in favor of always-new content.
check-understanding, challenge-generator, or misconception-detector flags a repeated error. Returning learner with prior weak areas. Planning a study/revision session. Learner reports a covered topic is still unclear.lesson-plan and revision-mode. Use tracker to decide between challenge-generator (reinforce) vs teach-concept (re-teach) vs socratic-mode (deepen). Mark confirmed improvements and remove from active tracking.Score each weak area 1–5: score = recurrence × type_weight + staleness_bonus
Intervention selection: Score 1–2 → challenge-generator. Score 3–4 → teach-concept re-teach. Score 5 → socratic-mode then misconception-detector.
last_seen.check-understanding or challenge-generator. 2 consecutive clean passes → "resolving." 3 consecutive → "resolved" and archived. Regression after resolution → re-open.Responses should contain: event details (topic + error type + source skill), action taken (added/incremented), severity score, active weak areas table (topic, type, recurrence, score, recommended intervention), session recommendation (top 1–2 focus areas), and resolution updates if applicable. Format naturally.
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Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.
The English summary is being prepared. Showing the original description.
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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