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
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/thai-chinese-gov-efficiency/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How thai-chinese-gov-efficiency Compares
| Feature / Agent | thai-chinese-gov-efficiency | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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
Which AI agents support this skill?
This skill is compatible with multi.
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.
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/`)