Exam2Knowledge is a skill that helps students, teachers, and tutors convert exam questions into structured, review-ready knowledge summaries.
概要
"See question → Recognize pattern → Apply method → Get answer" Transforms exam questions into . Not systematic learning — this builds a for instant problem-solving. Past exam papers, practice questions, course materials → High-frequency test points → Strategic study plan 1. — Identify question type & cognitive level (Bloom's Taxonomy) 2. — Extract & tier knowledge points ([**Solution Template**Error Pattern Library**Cross-Question Intelligence**Exam-Ready Output** — Prioritized action framework (Output Template) - 🎯 with strict execution order - 🔀 — output adapts to input type & time constraint - ✅ — format, content, consistency, boundary verification - 📚 — [] / [*] frequency-based ranking - 🛡️ — explicit "can do / cannot do" declaration - ✅ Single/multiple questions or full exam papers (text format) - ✅ OCR results from handwritten exams - ✅ All subjects: Math, Physics, Chemistry, Biology, History, Languages... - ❌ Raw image input (require OCR text first)
README
以下は原文 README の抜粋です。原文を見る。
🎓 Exam2Knowledge v1.0.0
中文 | English
“See question → Recognize pattern → Apply method → Get answer”
✨ What It Does
Transforms exam questions into structured, exam-focused knowledge systems. Not systematic learning — this builds a pattern-recognition reflex for instant problem-solving.
Perfect for: Past exam papers, practice questions, course materials → High-frequency test points → Strategic study plan
📁 Structure
.agents/skills/Exam2Knowledge/
├── SKILL.md # Core definition + processing pipeline
├── assets/
│ └── output-template.md # Standardized output structure
└── references/
├── blooms-taxonomy.md # 6-level cognitive hierarchy
├── diagnostic-rubric.md # 5-category error classification
└── quantified-rubric.md # Quantified self-check standards
⚙️ How It Works
- Pattern Recognition — Identify question type & cognitive level (Bloom’s Taxonomy)
- Reverse Engineering — Extract & tier knowledge points ([**] Must-Master to [] Optional)
- Solution Template — Build universal steps + decision rules
- Error Pattern Library — Catalog mistakes by category (Diagnostic Rubric)
- Cross-Question Intelligence — Frequency ranking + clusters + trends (batch mode; self-check standards in Quantified Rubric)
- Exam-Ready Output — Prioritized action framework (Output Template)
🎯 Decision Rules
| Scenario | Action |
|---|---|
| Single question | Full 5-step analysis + solution template |
| Multiple questions (≥5) | + frequency statistics + clusters |
| Weak spot diagnosis | Strengthen error pattern analysis |
| Image/OCR input | Verify OCR accuracy first |
| Humanities subject | Switch to humanities analysis mode |
✨ Key Features
- 🎯 5-step processing pipeline with strict execution order
- 🔀 Conditional logic — output adapts to input type & time constraint
- ✅ Built-in self-check — format, content, consistency, boundary verification
- 📚 Tiered knowledge — [] / [] / [] frequency-based ranking
- 🛡️ Capability boundaries — explicit “can do / cannot do” declaration
📥 Supported Input
- ✅ Single/multiple questions or full exam papers (text format)
- ✅ OCR results from handwritten exams
推奨ツール
別のキーワードを試すか、フィルタを外してください。
インストール
npx skillfish add atomercore/exam2knowledge-skill