thai-chinese-gov-efficiency

Academic research agent for comparative analysis of governance structures in Thai and Chinese public business schools and their impact on educational efficiency. Use when: 1) Building theoretical frameworks for higher education governance 2) Designing mixed-methods research for cross-national institutional analysis 3) Managing longitudinal academic research workflows 4) Coordinating specialized sub-agents for literature review, data collection, and statistical analysis

3,891 stars
Complexity: medium

About this skill

This AI agent is designed to conduct comprehensive academic research on higher education governance, specifically comparing structures in Thai and Chinese public business schools. It leverages a robust framework integrating new institutionalism and resource dependence theories. The skill employs mixed-methods research, including web scraping for policy documents, data extraction from institutional sources, and quality control via triangulation and statistical validation. Users can benefit from its capabilities in building theoretical frameworks, designing cross-national institutional analyses, and managing complex longitudinal research workflows. The agent streamlines the entire research process from literature review to data analysis and policy recommendation generation, aiming to produce publishable academic output. It achieves this by coordinating specialized sub-agents for distinct tasks like literature review and data analysis, and includes mechanisms for conflict resolution when data discrepancies arise. This makes it an invaluable tool for researchers seeking to automate and standardize rigorous comparative studies in educational governance.

Best use case

This skill is primarily for academic researchers, PhD students, and policy analysts studying higher education governance. It streamlines complex comparative studies between national education systems, enabling efficient data collection, analysis, and framework development for publishing in reputable journals, particularly within the fields of public administration and education management.

Academic research agent for comparative analysis of governance structures in Thai and Chinese public business schools and their impact on educational efficiency. Use when: 1) Building theoretical frameworks for higher education governance 2) Designing mixed-methods research for cross-national institutional analysis 3) Managing longitudinal academic research workflows 4) Coordinating specialized sub-agents for literature review, data collection, and statistical analysis

Users should expect a comprehensive comparative analysis of governance efficiency in Thai and Chinese public business schools, including theoretical frameworks, detailed research findings, and policy recommendations, structured for academic publication.

Practical example

Example input

Conduct a comparative study on governance efficiency in Thai and Chinese public business schools, focusing on administrative centralization, financial autonomy, and personnel control. Prioritize recent data from 2019-2024 and prepare a draft suitable for an SSCI journal submission.

Example output

A generated theoretical framework (theoretical_framework.md), a detailed research methodology (research_methods.md), collected and analyzed data on governance structures and efficiency metrics, and an initial draft of findings suitable for academic review, including a panel database and policy suggestions.

When to use this skill

  • Building theoretical frameworks for higher education governance
  • Designing mixed-methods research for cross-national institutional analysis
  • Managing longitudinal academic research workflows
  • Coordinating specialized sub-agents for literature review, data collection, and statistical analysis

When not to use this skill

  • For quick, ad-hoc information gathering unrelated to structured academic research.
  • When deep qualitative human interaction like interviews or field observation is the sole research method.
  • If the research focus is outside of higher education governance or business schools specifically.
  • For simple data retrieval or single-country institutional analysis without comparative elements.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/thai-chinese-gov-efficiency/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1829162846lw/thai-chinese-gov-efficiency/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/thai-chinese-gov-efficiency/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How thai-chinese-gov-efficiency Compares

Feature / Agentthai-chinese-gov-efficiencyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexitymediumN/A

Frequently Asked Questions

What does this skill do?

Academic research agent for comparative analysis of governance structures in Thai and Chinese public business schools and their impact on educational efficiency. Use when: 1) Building theoretical frameworks for higher education governance 2) Designing mixed-methods research for cross-national institutional analysis 3) Managing longitudinal academic research workflows 4) Coordinating specialized sub-agents for literature review, data collection, and statistical analysis

How difficult is it to install?

The installation complexity is rated as medium. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 中泰高校治理效率研究代理

## 核心能力

### 1. 理论框架构建
- **制度理论整合**:结合新制度主义理论与资源依赖理论构建分析框架
- **关键维度**:
  ```markdown
  | 治理维度       | 中国指标                | 泰国指标               |
  |----------------|-------------------------|------------------------|
  | 行政集权度     | 教育部直接管理比例      | 大学自治委员会决策权重 |
  | 财政自主性     | 预算审批层级            | 校级财政自由裁量权     |
  | 人事控制度     | 编制审批制度            | 校长聘用自主权         |
  ```
- **参考文件**:`references/theoretical_framework.md`(含制度变迁路径图)

### 2. 研究方法设计
- **混合研究方法**:
  ```bash
  # 数据收集协议
  web_search --query "中国双一流高校治理白皮书 site:edu.cn" --count 5
  web_fetch https://public.moe.gov.cn/jytb_ghfz/ghfw/202312/t20231201_1093012.html
  exec python3 scripts/data_extractor.py --country=TH --source=mua
  ```
- **质量控制**:
  - 三角验证:政策文本+院校年报+专家访谈
  - 信效度检验:Cronbach's α >0.7
- **参考文件**:`references/research_methods.md`(含抽样方案模板)

### 3. 研究流程管理
```mermaid
graph LR
A[文献系统综述] --> B[指标体系构建]
B --> C[数据采集验证]
C --> D[DEA效率测算]
D --> E[回归分析]
E --> F[政策建议生成]
```

- **里程碑管理**:
  ```json
  {
    "Q3 2024": "完成5所中泰高校深度案例",
    "Q1 2025": "建立治理-效率面板数据库",
    "Q3 2025": "形成SSCI投稿初稿"
  }
  ```

### 4. 代理协调机制
- **子代理调度**:
  ```tool
  spawn_subagent --skill literature-review --params "{\"keywords\": \"高校治理 中国 泰国\", \"years\": 2019-2024}""
  spawn_subagent --skill data-analysis --tool exec --command "Rscript scripts/efficiency_model.R"
  ```
- **冲突解决**:当数据矛盾时自动触发:
  ```bash
  exec python3 scripts/discrepancy_resolver.py --threshold=0.2
  ```

## 质量保障协议
1. 每周执行 `clawhub update --skill academic-research` 同步最新方法论
2. 所有数据源需通过 `references/quality_checklist.md` 验证
3. 关键结论需经2名领域专家确认(记录在 `assets/peer_review_log/`)

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