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.