by brycewang-stanford · Agent Tool · ★ 2.7k
Auto-Empirical Research Skills (AERS) 🌐 Language / 语言: English | 中文 Stanford REAP × CoPaper.AI · An academic-industrial AI toolkit for empirical research Crafted by Stanford's empirical methodology team — covering the full pipeline from data cleaning to top-journal submission [![Maintained by CoPaper.AI from Stanford REAP](https://img.shields.io/badge/Maintained%20by-CoPaper.AI%20from%20Stanford%20
| Stars | 2,714 |
| Forks | 368 |
| Language | Stata |
| Category | Agent Tool |
| Quality Score | 55.7310998302321/100 |
| Open Issues | 3 |
| Last Updated | 2026-07-08 |
| Created | 2026-04-03 |
| Est. Tokens | ~28k |
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Auto-Empirical-Research-Skills is 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Ma. It is categorized as a Agent Tool with 2.7k GitHub stars.
Auto-Empirical-Research-Skills is primarily written in Stata. It covers topics such as academic-research, agent-skills, ai-agent.
You can find installation instructions and usage details in the Auto-Empirical-Research-Skills GitHub repository at github.com/brycewang-stanford/Auto-Empirical-Research-Skills. The project has 2.7k stars and 368 forks, indicating an active community.