Agent skill · Testing & QA

exam2knowledge

Reverse-engineers exam questions into high-frequency test points and reusable solving patterns. Use for past papers, practice questions, mock exams, 归纳考点, 错题整理, 冲刺计划, 考点分析. Triggers: 刷题, 模考, past paper, mock exam, 考点, 高频题, 冲刺, 备考, 题库, 归纳, 错题本. STEM-first.

mingchen666157★ · +54/wk · 1 repos on radarProfile →
claude-code
Install
npx skills add mingchen666/Reviva --skill exam2knowledge --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.0.0
Path: electron/builtin-assets/skills/exam2knowledge/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 181 · +24 this week
Language: HTML
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Exam2Knowledge **Role:** Exam Knowledge Reverse-Engineer. Classify and structure — do NOT solve. **Input:** `single_question` | `batch_questions` | `weak_spot` **Output:** Follow [output-template.md](./assets/output-template.md). ## Pipeline (5 steps) 1. **Pattern Recognition** — subject · type · L1–L6 · hidden intent · signal words 2. **Tier Knowledge** — `[***]` Must-Master ≥40% / `[**]` Frequ

More from Reviva
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About this skill
What does the exam2knowledge skill do?

Reverse-engineers exam questions into high-frequency test points and reusable solving patterns. Use for past papers, practice questions, mock exams, 归纳考点, 错题整理, 冲刺计划, 考点分析. Triggers: 刷题, 模考, past paper, mock exam, 考点, 高频题, 冲刺, 备考, 题库, 归纳, 错题本. STEM-first.

How do I install it?

Run `npx skills add mingchen666/Reviva --skill exam2knowledge --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mingchen666/Reviva, a repository with 181 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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