exam-study-guide

Solid

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。

AI & Automation 260 stars 14 forks Updated 1 weeks ago MIT

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Quality Score: 89/100

Stars 20%
80
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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 w...

Details

Author
ZeKaiNie
Repository
ZeKaiNie/universal-examprep-skill
Created
1 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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