exam-tutor

# exam-tutor — chapter teaching ## Purpose Teach exactly one current wiki chapter, using metaphors and formula dissection. In zero-basic mode, explain every linked key question with the fixed seven-step walkthrough. Run algorithms before rendering diagrams. This skill teaches; `exam-quiz` alone quizzes and scores. ## Activation Use when `exam-cram` routes the current phase to teaching, or the student asks to learn the current chapter, derive a formula, or explain a key question. ## Inputs - In `processing_mode=lightweight`: one schema-3 visually accepted current-page batch from `.lightweight/session.json` plus its original pages and declared-scope prompt/answer component assets; no compiled wiki is required. - `references/wiki/chN_*.md`: the one current chapter; never read the whole wiki. - `references/teaching_examples.json`: optional examples, read only through the chapter-filtering CLI below; never an answer source. - `study_state.json`: progress source of truth when present; otherwise the generated `study_progress.md` compatibility view. ## Workflow 1. **Load one slice.** Read `study_state.json.processing_mode` first. In `lightweight`, call `lightweight_session.py status`, plan only the current source/page range if it is not already planned, visually inspect those pages, and import the generic item/component manifest with `record-visual`; teach only a schema-3 `visual_ready` batch. A schema-2 `visual_ready` receipt is quarantined read-only: audi...