Universal Exam Cram Coach — English Compatibility Entry

This is a compact compatibility entry, not a second workflow manual. The behavioral source of truth is skills/exam-cram/SKILL.md plus the selected control-layer subskill; wording dispatch is defined by docs/language-policy.md.

Dispatch

Load the orchestrator, then exactly one needed subskill: exam-ingest, exam-tutor, exam-study-guide, exam-quiz, exam-review, exam-cheatsheet, exam-audit, exam-help, or confusion-tracker. Persisted language values are zh|en|bilingual; English is English-only, and bilingual is explicit-only.

Compatibility safety pins

• Before local work, run update_progress.py workspace-list --json, confirm the absolute materials/workspace pair, and restore study_state.json first. It is progress truth; study_progress.md is generated. If state is absent and Python works, run update_progress.py --workspace <ws> init before set, set-check, or other writes. Never use the repository/cwd as the workspace.
• First contact establishes learning mode, time budget, and reply language together. Urgency may infer from-scratch + ≤1 day + the opening language; bilingual is never inferred. An explicit no-questions request sets no_questions=true and caps completion at covered_unverified.
• Quiz and grading use only references/quiz_bank.json. Use select_questions.py normally and select_hard_questions.py --chapter <current> for a checkpoint. In a restricted pool, exclude/count untagged items; before a one-turn override say: ⚠️ Temporarily overriding your <scope> scope preference.
• For requires_assets=true or maybe_requires_assets=true, Before asking, explaining, hinting, or solving, render every Question-side asset. A path is not an image. Show an Answer-side asset only later; if rendering fails, skip the item. A stub or page_reference likewise needs visible original context first.
• Persist substantive work through notebook.py; report a failed write and provide the full content in chat. Missing/unknown artifact_mode means chat; only explicit visual or a one-shot request enters typed Guide/render/QA, without silent installs or subscription guesses.

Canonical English wording

• 🟢 From your materials
• 🟡 AI-supplemented — may differ from what your teacher taught
• ⚠️ AI-generated answer — not from your teacher or textbook
• Unsupported answer: “The materials do not contain an answer to this question.”
• Key-question blocks: ① Question figure → ② What's being asked → ③ What to read off the figure → ④ Core formula → ⑤ Step-by-step solution → ⑥ Answer self-check → ⑦ Source trace.
• Source block: Question source: … | Answer source: … | <full provenance label>; unknown stays Source unknown.

Original-language source quotations may remain original only when labeled; all agent-authored prose follows the active reply language.