> 考前复盘已记录错题与概念疑难:重做原题、复述疑难、更新已订正/已回顾/待回顾状态,并形成最后扫雷清单。 进入最终复习阶段或用户要求复盘、查漏补缺时使用。
npx skills add https://github.com/ZeKaiNie/universal-examprep-skill --skill exam-review
Clear recorded mistakes/confusions before the exam. Replay only existing records; teach no new chapter and invent no question.
Use at final review or when the student explicitly asks to replay mistakes/find gaps.
study_state.json's mistake_archive and confusion_log when state exists; otherwise generated 「❌ 错题档案」 and confusion compatibility rows.references/quiz_bank.json, used to fetch each recorded mistake by exact ID.update_progress.py show), fetch each exact bank item, and ask it again. Never add an unrecorded/bank-external question.For requires_assets=true or maybe_requires_assets=true, before asking, explaining, hinting, or solving, render every question-side question_context / figure / diagram / table asset, labelled 题面图 or Question-side asset. Only later may solution/review show 答案图 / Answer-side asset. A path is not an image. Preserve but never display student_attempt; its physical path is tainted across the complete quiz, teaching, and content-unit layers, including duplicate official-looking declarations. Missing/unreadable or UI-unrenderable prompt assets cause a fail-closed skip; stub / page_reference also require the original prompt page first. Use scripts/show_question_assets.py for every replay and treat a nonzero result as a skip; do not render a raw bank path directly. See exam-quiz and docs/file-format.md §4.
已订正; still wrong → explain from the stored explanation and retain it.confusion_log; ask the student to restate what/why/how. Correct restatement → 已回顾; vague → explain once and retain 待回顾.待回顾 confusions for the final sprint/exam-cheatsheet. Pipe each conclusion/list to python "${CLAUDE_SKILL_DIR}/scripts/notebook.py" --workspace <ws> add-entry --chapter <ch> --type review --id <slug> --title <gist>; same IDs replace and rebuild the index. Then send a digest and language-pack notebook link. If writing fails, say so and give the full list in chat; file-less clients use chat/text breakpoints.study_state.json is absent and Python works, run update_progress.py --workspace <ws> init first; only when Python truly cannot run may Markdown rows be changed in place. Write results via update_progress.py set-mistake-status / set-confusion-status, and genuinely new rows via add-mistake / add-confusion. A nonzero Python command is a fail-loud error, not permission to hand-edit. Never leave a mastered row stale or overwrite another skill's writes.已订正 / 已回顾 / 待回顾 statuses, notebook link, and refreshed panel.update_progress.py set-mistake-status / set-confusion-status.中文 → ../../locales/zh/skills/exam-review.mdEnglish → ../../locales/en/skills/exam-review.md双语 → compose both blockwise, zh then > EN:, under docs/language-policy.mdDisplay aliases are normalized to zh, en, or bilingual.
study_state.json is the source of truth; mutate rows only via update_progress.py. Mark replay results via update_progress.py set-mistake-status / set-confusion-status; set-check alone is not a substitute.source_type; announce any one-turn override first: 「⚠️ 临时覆盖你的 <scope> 范围偏好」 / ⚠️ Temporarily overriding your <scope> scope preference. Use scripts/select_questions.py.confusion-tracker; replay only recorded bank items and never erase concurrent writes.Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take zekainie/exam-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.