edu-agent-skills

Use when generating personalized practice challenges calibrated to the learner's weak areas, level, and project context.

Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.

Use when simulating a technical interview to build confidence, expose reasoning gaps, and train structured communication under pressure.

Use when diagnosing a repeated conceptual mistake and designing a targeted correction loop to replace the faulty mental model.

Use when capturing or restoring a learner's persistent profile to personalize teaching across sessions.

Use when logging, scoring, and triaging a learner's persistent weak areas to drive intervention selection.

Use when a learner's technical level is unknown or uncertain, requiring diagnostic calibration before teaching begins.

Use when structuring a multi-session learning roadmap with milestones, gates, and pacing calibrated to learner level and goal.

Use when a learner asks to learn from a repository and the agent must map curriculum structure and prerequisites before teaching.

Use when creating, testing, or updating active-recall flashcards grounded in session concepts to reinforce retention.

Use when a learner needs a structured review session prioritizing high-value topics by recency, error history, and upcoming deadlines.

Use when scheduling and executing review sessions at scientifically-calibrated expanding intervals for long-term retention.

Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.

Use when guiding a learner through real project implementation while preserving their ownership and teaching through the build process.

Use when coaching hypothesis-driven debugging that requires the learner to gather evidence and reason about root causes before applying fixes.

Use when evaluating a completed or in-progress project across scope, correctness, quality, testing, and learning outcomes using structured Praise-Critique-Grow feedback.

Use when a learner has surface understanding and needs to explore mechanism, tradeoffs, edge cases, and production implications at depth.

Use when a concept is too abstract for the learner's current level and needs analogy-first teaching before complexity re-injection.

Use when the learner benefits from guided questioning to build reasoning and uncover misconceptions before receiving direct answers.

Use when explaining a technical concept and adapting depth, pacing, and examples to the learner's readiness.

Use when <clear trigger condition for this skill>.