gaokao-expert

Create, review, and analyze Gaokao exam questions and paper structures.

706|130|Updated Oct 31, 2025
One-click install
npx skills add https://github.com/staruhub/ClaudeSkills --skill gaokao-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gaokao-expert
Source: https://github.com/staruhub/ClaudeSkills/tree/main/lab/Geek-skills-gaokao-expert
Command: npx skills add https://github.com/staruhub/ClaudeSkills --skill gaokao-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Designing high-quality Gaokao (Chinese college entrance exam) questions requires deep knowledge of the "one core, four layers, four wings" evaluation framework, question-type standards, and current exam trends. This Skill guides question authoring, quality review, and paper structure analysis so educators produce standards-compliant, well-calibrated exam content.

Core Features & Use Cases

  • Question Authoring: Guides the full workflow from sourcing real-world contexts via web search to producing a complete six-part output: scenario, stem, answer, scoring rubric, design rationale, and estimated difficulty.
  • Quality Review: Evaluates questions across seven dimensions (knowledge coverage, ability level, context design, difficulty, innovation, educational value, scientific rigor) using the analyze_question.py script.
  • Paper Structure Analysis: Runs analyze_paper.py on a JSON paper definition to report knowledge distribution, ability-level distribution, difficulty gradient, question-type mix, and time allocation.
  • Use Case: A physics teacher asks for a Gaokao-style capstone problem with an authentic scenario and scoring rubric; the Skill searches current source material, drafts the item, and self-checks it against the "four dos and four don'ts" principles.

Quick Start

Use the gaokao-expert skill to create a Gaokao physics problem with a real-world scenario, full answer, scoring rubric, and estimated difficulty.

Frequently Asked Questions about gaokao-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a Gaokao-style exam question with a real-world scenario?

Provide the subject and topic, and the Skill searches current authentic source material, designs the scenario, and outputs a six-part package: scenario, stem, answer, scoring rubric, design rationale, and estimated difficulty. It self-checks against the four-dos-four-don'ts principles before delivery.

How do I analyze the structure of a Gaokao practice paper?

Create a JSON file listing each question's type, score, knowledge points, ability level, and difficulty, then run analyze_paper.py. It reports knowledge distribution, ability-level distribution, difficulty gradient, question-type mix, and time allocation with improvement suggestions.

What quality dimensions does Gaokao question review cover?

Review covers seven dimensions: knowledge coverage, ability level, scenario design, difficulty appropriateness, innovation, educational value, and scientific rigor. The analyze_question.py script scores each dimension out of 10 and generates strengths, issues, and improvement suggestions.

Can this skill solve Gaokao problems for students or write college exam questions?

No. It is scoped to Gaokao item authoring, review, and paper analysis for question writers. It does not solve problems for test-takers, and it does not handle university, graduate, or middle school exam design, which follow different standards.

Does the skill rely on built-in exam trend information?

The bundled trend reference is a point-in-time record and can go stale. For any trend-related conclusion, the Skill requires a web search for current-year information first, using the reference document only as an analysis framework.