yugash007

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

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

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

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 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 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 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 <clear trigger condition for this skill>.

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

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

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