exam-ingest
Solid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。
AI & Automation 260 stars
14 forks Updated 1 weeks ago MIT
Install
Quality Score: 89/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# exam-ingest — validated workspace initialization
## Purpose
Convert a confirmed materials folder into a validated cram workspace. Build and repair the knowledge base only; do not teach or grade. The normal path produces structured ingestion facts under `.ingest/`, compiled chapter wiki and bank files, progress state, visual evidence, and an explicit readiness verdict before handing control back to `exam-cram`.
This module is the explicit `processing_mode=full` route. A missing, legacy, or
`lightweight` processing choice must not activate it; route that learner through
`scripts/lightweight_session.py` instead.
## Activation
Activate when the confirmed workspace lacks its wiki, bank, or progress state; when the student supplies new/changed course materials; or when `validate_workspace.py` reports ingestion readiness `blocked`. Do not treat the mere existence of generated files as proof that the workspace is ready.
## Inputs
- A student-confirmed materials directory containing PDF, DOCX, PPTX, XLSX, common standalone raster images, txt, or Markdown. Scans/images without usable sidecar text, damaged/encrypted files, unsupported features/formats, and ambiguous problem/solution pairs may require evidence-backed AI/human review.
- A target workspace directory explicitly confirmed by the student. Never default to the repository, process current directory, or an inferred course folder. The workspace must be separate from the materials tree so reruns cannot ingest generated ou...
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
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。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
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。
260 Updated 1 weeks ago
ZeKaiNie AI & Automation Solid
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。
260 Updated 1 weeks ago
ZeKaiNie