exam-cram
Solid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。
AI & Automation 260 stars
14 forks Updated 1 weeks ago MIT
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Skill Content
# Exam Cram Coach
## Purpose
Coordinate last-minute exam prep. Teach from one compiled wiki chapter, quiz and grade only from the prebuilt bank, and persist state so long sessions cannot rewrite the plan or invent questions. Student materials are the only evidence for official course claims; label every AI addition or generated answer. Route concrete work to the subskills listed below.
## Activation
Activate for an approaching exam, cram plan, drills, mistake review, concept Q&A, or pre-exam handout. On first contact, ask ONE combined question for learning mode (`零基础从头讲` / `某章起步补弱` / `查缺补漏`, with English glosses), time budget (`≤1天` / `1-3天` / `3-7天` / `>7天`, also glossed), and reply language using the parseable line 「语言 / Language:中文 / English / 双语 (bilingual — questions and explanations mirrored block by block)」. Persist all three together. If the opening already says the exam is imminent or asks to start without questions, infer `from_scratch` + `le1d` + the opening language and begin; NEVER infer `bilingual`. `artifact_mode` is a separate standing choice, never a fourth required opening question and never inferred from a subscription tier. Legacy `normal|sprint|panic|mock` values are migration-only. Do not activate outside exam prep.
### Startup processing choice
At the start, show the two material-processing choices once and recommend
`lightweight`: `轻量按需(推荐) / lightweight on-demand (recommended)` versus
`完整建库 / full knowledge-base build`. Persist the canonical cho...
Details
- Author
- ZeKaiNie
- Repository
- ZeKaiNie/universal-examprep-skill
- Created
- 1 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
AI & Automation Solid
universal-exam-cram-coach
帮助学生在临考前进行结构化极速复习:解析课程资料/大纲/重点,按章节生成 wiki 知识库与标准题库,组织针对性刷题与判分,并记录复习进度和错题。当用户即将考试、需要快速复习计划、练习题、错题复盘或考前小抄时使用(关键词:期末/备考/复习/刷题/划重点/错题;exam, cram, study plan, quiz, review)。不适用于长期学习规划、与考试无关的写作或编程任务。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
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。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
exam-quiz
从 references/quiz_bank.json 抽取本章题目并按标准答案判分,支持选择、主观、画图、填空、判断、代码; 主观题按 keywords 要点覆盖判分,连续错两次提供提示/跳过/归档。禁止现场编题。用于阶段检查或模考。
260 Updated 1 weeks ago
ZeKaiNie