by brycewang-stanford · Agent Tool · ★ 3.9k
Auto-Empirical Research Skills (AERS) 🌐 Language: English 한국어 Stanford REAP × CoPaper.AI · An academic–industrial AI toolkit for empirical research Built by Stanford's empirical-methodology team — the full pipeline from data cleaning to top-journal submission [![Validate catalog](https://github.com/brycewang-stanford/Auto-E
| Stars | 3,896 |
| Forks | 484 |
| Language | Stata |
| Category | Agent Tool |
| Quality Score | 38.55/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-04-03 |
| Est. Tokens | ~2922k |
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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 3.9k 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 3.9k stars and 484 forks, indicating an active community.