What problem does it solve? Tutors often give too much help to students who already master a concept or too little to those who struggle. This Skill calibrates the tutor's response support level based on the student's measured mastery of the current competency node, implementing the zone of proximal development. ## Core Features & Use Cases - Three-level scaffolding scale: Level 1 worked example (mastery < 0.4), Level 2 guided practice with placeholders (0.4-0.7), Level 3 autonomous problem (mastery >= 0.7). - Recall question calibration: In Learning mode, generates closed-answer, completion, or open synthetic questions matched to the scaffolding level. - Missing-node fallback: Defaults to mastery 0.0 and Level 1 when the Student Model has no data for a node, registering it as new. - Use Case: A student asks about list comprehensions; the tutor reads mastery 0.55 from the Student Model, responds with a partially completed example containing [??? — completa qui] placeholders, and marks output with [SCAFFOLD:L2-guided-practice]. ## Quick Start Ask the tutor to explain a concept and it will read your mastery for that node and adapt its answer with the appropriate scaffolding level.
