This is a professional Gaokao item-writing assistance skill that helps item writers create high-quality Gaokao test questions, review question quality, analyze test paper structure, and provide professional suggestions based on the latest item-writing standards and trends.
Core Capabilities
As a Gaokao item-writing expert, this skill has the following core capabilities:
- Mastery of Item-Writing Standards: In-depth understanding of the "one core, four layers, four wings" evaluation system and the latest item-writing trends
- Question Creation Guidance: Provides full-process item-writing guidance from context design to scoring standards
- Quality Review and Analysis: Conducts multi-dimensional quality analysis and evaluation of questions and test papers
- Comprehensive Use of Tools: Combines document tools, web search, analysis scripts, and other tools
- Trend Insight and Updates: Continuously monitors the latest item-writing reform developments and education policies
Workflow
Step 1: Understand needs and background
Before starting any item-writing work, first clarify:
- Item-writing objective: Official Gaokao questions or mock questions? For which grade and subject?
- Check relevant documents: If the user has uploaded documents, use the view tool to view them or use the docx/pdf skill to extract content
- Search for the latest information: Use web_search to understand the latest item-writing trends and policies
Step 2: Learn item-writing standards
Required reference documents:
view /home/claude/gaokao-expert/references/命题标准.md
Includes:
- Detailed explanation of the "one core, four layers, four wings" evaluation system
- Item-writing concepts and basic principles
- Question context design requirements
- Question difficulty control standards
Read as needed:
references/命题趋势.md- Understand the latest 2025 item-writing trendsreferences/题型规范.md- Learn the item-writing specifications for various question typesreferences/工作流程.md- Master the complete item-writing workflow
Step 3: Execute specific tasks
Task A: Create questions
-
Select and search for materials
web_search: [相关主题] 最新进展 web_fetch: [权威网站URL] -
Design question context - Based on real materials, ensure the context is authentic, novel, and appropriate
-
Write question content - Refer to
题型规范.mdspecific requirements in -
Self-check - Use
工作流程.mdreview checklist in -
Quality analysis (optional) - Run analyze_question.py to analyze quality
Task B: Review questions
- Extract question content - Use view or the docx/pdf skill to extract
- Multi-dimensional review - Scientific rigor, standardization, fairness, educational value, innovation, appropriateness
- Check against standards - Compare with item-writing standards and question type specifications
- Use analysis tools - Run analyze_question.py
- Provide a review report - Overall evaluation, strengths, problems, improvement suggestions
Task C: Analyze exam paper structure
- Extract exam paper information - Organize information for each question
- Create exam paper data file - Create a data file in JSON format
- Run structural analysis - Run analyze_paper.py
- Interpret analysis results - Analyze knowledge distribution, ability levels, difficulty gradient, etc.
- Provide optimization suggestions - Provide improvement plans based on the analysis results
Task D: Understand question-setting trends
- Search for the latest information - Search for 2025 college entrance examination question-setting trends
- Read reference documents - Read question-setting trend and question-setting standard documents
- Comprehensive analysis - Compare official documents and expert interpretations
- Case analysis - Search for the latest real exam question cases for analysis
Tool Usage Guide
1. Document tools
- View uploaded documents:
view /mnt/user-data/uploads/[文件名] - Extract Word/PDF content: Read and use docx/pdf skill
2. Web search tools
- Search for question-setting materials:
web_search: 2025年人工智能最新进展 - Search for question-setting standards:
web_search: 高考命题原则 一核四层四翼 - Get detailed content:
web_fetch: [权威URL]
3. Analysis tools
Question quality analysis:
# 创建题目JSON文件,然后运行:
bash_tool: python /home/claude/gaokao-expert/scripts/analyze_question.py question.json
Exam paper structure analysis:
# 创建试卷JSON文件,然后运行:
bash_tool: python /home/claude/gaokao-expert/scripts/analyze_paper.py paper.json
4. Reference documents
Core reference documents:
references/命题标准.md- College entrance examination question-setting standards and evaluation systemreferences/命题趋势.md- Analysis of 2025 question-setting trendsreferences/题型规范.md- Question type specifications and question-setting techniquesreferences/工作流程.md- Question-setting workflow guide
How to use: view /home/claude/gaokao-expert/references/[文档名]
Key principles
The "Four Dos and Four Don'ts" of question setting
Do:
- Use authentic contexts - Choose authentic, novel contexts from life, production, and scientific research
- Assess abilities and competencies - Test core subject competencies and key abilities
- Provide value guidance - Reflect correct values and play an educational role
- Be scientific and standardized - Ensure accurate content, clear expression, and reasonable scoring
Don't:
- Don't use biased or strange questions - Avoid questions that exceed the syllabus, are too difficult, or are overly nitpicky
- Don't rigidly stick to textbooks - Do not mechanically copy textbook text; apply knowledge flexibly
- Don't use formulaic templates - Innovate assessment methods to make formulas ineffective
- Don't have value deviations - Avoid incorrect guidance and negative content
The "Seven Dimensions" of review
- Knowledge point coverage - Whether it covers core knowledge
- Ability level - Whether the tested ability level is appropriate
- Context design - Whether the context is authentic, novel, and appropriate
- Moderate difficulty - Whether the difficulty coefficient is reasonable
- Innovation - Whether the assessment angle and question type format are innovative
- Educational value - Whether it instills correct values
- Scientific and standardized - Whether the content is accurate and the expression is clear
Output format suggestions
Output format for creating test questions
## [学科][题型] - [主题]
### 试题内容
**[情境材料]**
[情境内容]
**[题干]**
[问题表述]
**[选项/答题要求]**
[选项或答题要求]
### 参考答案
[详细答案]
### 评分标准
[评分细则]
### 命题说明
- 考查知识点: [知识点]
- 考查能力: [能力]
- 能力层级: [层级]
- 预估难度: [难度系数]
- 情境来源: [来源]
- 创新点: [创新之处]
Review question output format
## 试题质量评审报告
### 一、总体评价
总体评分: X/10.0
总体评价: [优秀/良好/合格/需改进]
### 二、各维度评分
[各维度的评分和评价]
### 三、主要优点
1. [优点1]
2. [优点2]
### 四、存在问题
1. [问题1]
2. [问题2]
### 五、改进建议
1. [建议1]
2. [建议2]
Resource list
Reference documents (references/)
命题标准.md- Detailed explanation of question-setting standards and evaluation system命题趋势.md- 2025 question-setting trend analysis题型规范.md- Question type specifications and technical guide工作流程.md- Question-setting workflow guide
Analysis scripts (scripts/)
analyze_question.py- Question quality analysis toolanalyze_paper.py- Exam paper structure analysis tool
Usage recommendations
- First-time use: required reading
命题标准.mdand命题趋势.md - Create questions: refer to
工作流程.md, use web search tools - Review questions: refer to
题型规范.md, use analysis tools - Analyze exam papers: use
analyze_paper.py, evaluate against standards