/exam-study-guide
将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。
$ npx -y skills add ZeKaiNie/universal-examprep-skill --skill exam-study-guide --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/exam-study-guide
Context preview
The summary Claude sees to decide when to auto-load this skill.
将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。
SKILL.md
exam-study-guide.SKILL.mdname: exam-study-guide
description: 将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。
license: MIT
Exam Study Guide
Purpose
After teaching the current chapter, build its validated typed Study Guide manifest; in visual mode, compile that manifest into a readable, self-contained HTML Study Guide and printable PDF before phase completion. A Study Guide is a teaching artifact, not a dump of the wiki and bank: it groups knowledge points with every mapped lecture, homework, Quiz, mock-exam, past-exam, or textbook example and explains each one through formula selection, variable mapping, substitution, solution, a beginner-first explanation of why the answer follows, and source trace. Keep Markdown/JSON as auditable sources and never overwrite them with a derived artifact.
Activation
Require explicit `study_state.json.processing_mode=full`. Lightweight mode never invokes this module, even for a one-shot handout request; explain that Study Guide generation requires switching to full processing and reconfirming the start gate.
Use this module after the exam workspace/current chapter are confirmed and its substantive teaching is persisted, but before `complete-phase` in a structured workspace. Restore the current phase and effective `artifact_mode` from `study_state.json` before selecting `<N>`. `chat` still builds and imports the mandatory typed `profile=full` manifest, then stops without HTML/PDF; a recognized standing `visual` preference continues through rendering, receipt binding, and all-page QA. A direct one-shot handout request follows its explicit output scope without rewriting the stored preference. Never inspect or infer the student's subscription. Preserve the parent exam-coach language and provenance contracts in all chat summaries.
Inputs
- Exactly one current-chapter `references/wiki/chNN*.md` file, used as source evidence rather than pasted wholesale.
- Optional `study_state.json`; its canonical language-neutral `language` code (`zh` / `en` / `bilingual`; legacy/display aliases `中文` / `English` / `双语` migrate on read) controls all agent-generated headings, notices, explanations, labels, and summaries. Missing state follows the session default (English unless the student opened in Chinese); the script's Chinese empty-value fallback exists only for legacy workspaces and is not a new-session language decision.
- The current-chapter slice of `references/teaching_examples.json`, every current-chapter entry in `references/quiz_bank.json`, and every typed current-chapter question unit, de-duplicated by item ID. A legacy `gradable=false` record remains a teaching example in the guide but is never served or graded as a quiz.
- A substantive `notebook/chNN.md` plus the validated typed teaching manifest `notebook/chNN.guide.json`.
- Workspace-local images under `references/assets/` referenced by the typed manifest.
- For ingestion-v2 workspaces, current validated `.ingest/canonical_groups.jsonl` and `.ingest/source_conflicts.jsonl` facts. These are revision-bound derived facts, not replacements for source occurrences or item/unit IDs. Do not preload unrelated chapters or hand-fold near matches.
- For ingestion-v2, `.ingest/claim_records.jsonl` and the matching `.ingest/claim_verification_receipts/chNN.json` are mandatory typed-guide inputs. The validator recomputes them against the current manifest and live source/content/group/conflict facts. The receipt's `fact_snapshot_sha256` also binds current build/parser/page-quality/review facts into its ID, so a parser identity revision requires re-verification even when content units are unchanged. Legacy/v1 compatibility is read-only for an existing canonical manifest and must not be described as having this v2 evidence. The receipt scope is `location_only`, never semantic proof.
Use only `$...$` and `$$...$$` as formula delimiters in source Markdown. Forms such as `(A\cup B)`, `[P=\frac{...}]`, `\(...\)`, and `\[...\]` are not valid framework input. Confirm and migrate the source explicitly; never guess-rewrite a formula.
Workflow
1. Restore `study_state.json`, resolve output intent, and run `validate_workspace.py <ws> --json`. Read the explicit `.ingest/build_manifest.json.pipeline_version`; never infer or delete it. Only `ingestion-v2` follows the author/compiler/claim path in steps 2-6. An explicit `ingestion-v1` workspace may only read its existing canonical manifest through the legacy compatibility path below; it cannot import, relocalize, or render a new Study Guide and must never claim the v2 claim/receipt gate. A failed v2 command does not authorize downgrading to v1. `chat` stops after the canonical `profile=full` manifest import; `visual` continues through rendering and all-page QA. Persist a standing choice only through `update_progress.py set --artifact-mode chat|visual`. Separately resolve `answer_explanation_mode=ordinary|isolated`. Missing, legacy, or invalid state has stored-schema fallback `ordinary`, which still requires a detailed beginner-first explanation for every item without an isolation claim. Before authoring a full-v2 Guide, perform a native-child capability handshake: require one fresh independent child context per item plus enforceable restriction of that child's task input and tools to the exact request. When verified, default to `isolated` unless the user opted out, persist it, and disclose once that it consumes extra host quota/time; no separate API key or external-upload consent is needed. Any missing, inherited, or unverified boundary keeps `ordinary` and must be named. A separately billed external Provider is available only when the user explicitly requests it; before persisting that fallback, retain the two-stage no-upload exact plan and exact-plan pricing/privacy/upload consent. Never infer either capability or upload permission from a model family, subscription, API
Read more
name: exam-study-guide description: 将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。 license: MIT
Exam Study Guide
Purpose
After teaching the current chapter, build its validated typed Study Guide manifest; in visual mode, compile that manifest into a readable, self-contained HTML Study Guide and printable PDF before phase completion. A Study Guide is a teaching artifact, not a dump of the wiki and bank: it groups knowledge points with every mapped lecture, homework, Quiz, mock-exam, past-exam, or textbook example and explains each one through formula selection, variable mapping, substitution, solution, a beginner-first explanation of why the answer follows, and source trace. Keep Markdown/JSON as auditable sources and never overwrite them with a derived artifact.
Activation
Require explicit `study_state.json.processing_mode=full`. Lightweight mode never invokes this module, even for a one-shot handout request; explain that Study Guide generation requires switching to full processing and reconfirming the start gate.
Use this module after the exam workspace/current chapter are confirmed and its substantive teaching is persisted, but before `complete-phase` in a structured workspace. Restore the current phase and effective `artifact_mode` from `study_state.json` before selecting `<N>`. `chat` still builds and imports the mandatory typed `profile=full` manifest, then stops without HTML/PDF; a recognized standing `visual` preference continues through rendering, receipt binding, and all-page QA. A direct one-shot handout request follows its explicit output scope without rewriting the stored preference. Never inspect or infer the student's subscription. Preserve the parent exam-coach language and provenance contracts in all chat summaries.
Inputs
- Exactly one current-chapter `references/wiki/chNN*.md` file, used as source evidence rather than pasted wholesale.
- Optional `study_state.json`; its canonical language-neutral `language` code (`zh` / `en` / `bilingual`; legacy/display aliases `中文` / `English` / `双语` migrate on read) controls all agent-generated headings, notices, explanations, labels, and summaries. Missing state follows the session default (English unless the student opened in Chinese); the script's Chinese empty-value fallback exists only for legacy workspaces and is not a new-session language decision.
- The current-chapter slice of `references/teaching_examples.json`, every current-chapter entry in `references/quiz_bank.json`, and every typed current-chapter question unit, de-duplicated by item ID. A legacy `gradable=false` record remains a teaching example in the guide but is never served or graded as a quiz.
- A substantive `notebook/chNN.md` plus the validated typed teaching manifest `notebook/chNN.guide.json`.
- Workspace-local images under `references/assets/` referenced by the typed manifest.
- For ingestion-v2 workspaces, current validated `.ingest/canonical_groups.jsonl` and `.ingest/source_conflicts.jsonl` facts. These are revision-bound derived facts, not replacements for source occurrences or item/unit IDs. Do not preload unrelated chapters or hand-fold near matches.
- For ingestion-v2, `.ingest/claim_records.jsonl` and the matching `.ingest/claim_verification_receipts/chNN.json` are mandatory typed-guide inputs. The validator recomputes them against the current manifest and live source/content/group/conflict facts. The receipt's `fact_snapshot_sha256` also binds current build/parser/page-quality/review facts into its ID, so a parser identity revision requires re-verification even when content units are unchanged. Legacy/v1 compatibility is read-only for an existing canonical manifest and must not be described as having this v2 evidence. The receipt scope is `location_only`, never semantic proof.
Use only `$...$` and `$$...$$` as formula delimiters in source Markdown. Forms such as `(A\cup B)`, `[P=\frac{...}]`, `\(...\)`, and `\[...\]` are not valid framework input. Confirm and migrate the source explicitly; never guess-rewrite a formula.
Workflow
1. Restore `study_state.json`, resolve output intent, and run `validate_workspace.py <ws> --json`. Read the explicit `.ingest/build_manifest.json.pipeline_version`; never infer or delete it. Only `ingestion-v2` follows the author/compiler/claim path in steps 2-6. An explicit `ingestion-v1` workspace may only read its existing canonical manifest through the legacy compatibility path below; it cannot import, relocalize, or render a new Study Guide and must never claim the v2 claim/receipt gate. A failed v2 command does not authorize downgrading to v1. `chat` stops after the canonical `profile=full` manifest import; `visual` continues through rendering and all-page QA. Persist a standing choice only through `update_progress.py set --artifact-mode chat|visual`. Separately resolve `answer_explanation_mode=ordinary|isolated`. Missing, legacy, or invalid state has stored-schema fallback `ordinary`, which still requires a detailed beginner-first explanation for every item without an isolation claim. Before authoring a full-v2 Guide, perform a native-child capability handshake: require one fresh independent child context per item plus enforceable restriction of that child's task input and tools to the exact request. When verified, default to `isolated` unless the user opted out, persist it, and disclose once that it consumes extra host quota/time; no separate API key or external-upload consent is needed. Any missing, inherited, or unverified boundary keeps `ordinary` and must be named. A separately billed external Provider is available only when the user explicitly requests it; before persisting that fallback, retain the two-stage no-upload exact plan and exact-plan pricing/privacy/upload consent. Never infer either capability or upload permission from a model family, subscription, API
Turn your slides, homework, and past papers into a source-aware tutor that remembers your progress.
Other skills on universal-examprep-skill.
- /confusion-tracker
教学过程中自动捕获和记录学习者的概念疑难点("为什么/是什么/怎么推/什么意思"类型的问题),保存到进度文件的"概念疑难点记录"区,形成考前回顾清单。
Open skill - /exam-audit
只读检查一个已生成的备考工作区是否健康并报告问题,默认不做任何修改。核对 .ingest 原材料版本、 内容单元、接管队列与派生产物完整性,以及 wiki、题库、视觉证据、计划和进度的一致性。当用户怀疑 工作区有问题、建库 readiness 被阻断、或想在开始复习前体检时使用。
Open skill - /exam-cheatsheet
全员通关后把 错题本+笔记本+知识点窗口+wiki 编译成考前速记小抄 cheatsheet.md(每条要点带可溯源 锚点),并在视觉产物模式或用户明确要求 PDF/打印版时按指定页数渲染成打印级 PDF:按「必背结论/公式 → 有难度例题(必要时含题面图)→ 例题解答(代入公式、保留基础过程)→ 要点解释(同类题怎么办)」 四段组织。当复习收尾、用户要「考前小抄/速记/总结/打印版」时使用。
Open skill - /exam-cram
临考前的极速备考总教练。把课件、大纲、重点与真题建成分章 wiki 和标准题库,再组织惰性授课、 题库判分、错题与疑难复盘及可选考前小抄,并持久化进度。用于期末、备考、突击、刷题、划重点、 错题与考前复习;不用于长期规划或与考试无关的写作/编程。
Open skill - /exam-help
备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。 用户问怎么用、有哪些模式、文件用途或支持题型时使用。
Open skill - /exam-ingest
从学生上传的课件/大纲/老师勾的重点/真题,一键初始化并验证备考工作区:解析 PDF、DOCX、PPTX、 XLSX、常见独立图片与 txt/md,建立分章节 LLM Wiki、标准题库、结构化接管队列与进度状态;仅在 Python 确实无法运行时 明确降级为手动写盘。当工作区尚未建立、资料发生变化、或建库 readiness 被阻断时使用。
Open skill

