Claude Skill

brycewang-stanford/Auto-Empirical-Research-Skills

A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. Maintained by CoPaper.AI from Stanford REAP. Supports reproducible paper generation and user...

Overview

Stars2,558
Forks345
LanguageStata
Last pushed2026-07-02
Last synced2026-07-03
View on GitHub

Repository

Ownerbrycewang-stanford
RepositoryAuto-Empirical-Research-Skills
Full namebrycewang-stanford/Auto-Empirical-Research-Skills
Repo ID1,200,204,014

Install this Skill

git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git

Registry

Typemcp_server
Quality score80/100
Verificationreadme_parsed
Last verified2026-06-02
Platforms
ClaudeMCPOpenClaw
Capabilities
pdfmemorysearchimageterminalworkflowacademic-researchagent-skillsai-agentawesome-list
Detected files
README.mddocs
Config keys
URLDIDSDID

Summary

A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines, maintained by CoPaper.AI from Stanford REAP. It enables users to complete a reproducible empirical paper in 20 minutes and supports uploading custom skills.

Chinese description

🔬 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。-- 由斯坦福 REAP 的 CoPaper.AI 维护。

Key features

  • 23,000+ pre-built agent skills for social science research
  • Covers 8 disciplines: economics, political science, sociology, psychology, education, communication, public administration, international...
  • Supports reproducible empirical paper generation in 20 minutes via CoPaper.AI
  • User-contributed skills library with upload capability
  • Maintained by Stanford REAP research group

Use cases

  • Automate data cleaning and statistical analysis in Stata for empirical papers
  • Generate reproducible research workflows across social science disciplines
  • Rapidly prototype and validate empirical models with pre-built agent skills
  • Collaborate on research projects by sharing and reusing agent skills

README excerpt

# Auto-Empirical Research Skills (AERS, 23K+ Skills) > [!NOTE] > **Repository renamed → now "Auto".** This project started life as *Awesome Agent Skills for Empirical Research* and has been renamed to **Auto-Empirical-Research-Skills (AERS)**. The new name reflects the core idea: not just a *collection* of skills, but an agent that **automatically runs the full empirical-research pipeline end to end** — from raw data cleaning → identification & estimation → robustness checks → tables, figures, and a submission-ready draft — with minimal human hand-holding. > > GitHub automatically redirects the old URL, but please update your bookmarks and local remote: > > ```bash > git remote set-url origin https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git > ``` <div align="center"> **🌐 Language / 语言: English | [中文](README-zh.md)** <br/> <img src="images/aers-readme-cover-en.png" alt="Auto-Empirical Research Skills cover" width="100%" /> <br/> <table> <tr> <td align="center"> <a href="https://copaper.ai"><img src="images/copaper-logo.png" alt="CoPaper.AI" width="260" /></a> </td> <td width="60"></td> <td align="center"> <img src="images/stanford-reap-logo.png" alt="Stanford REAP - Center on China's Economy & Institutions" width="380" /> </td> </tr> </table> <br/> <strong>Stanford REAP × CoPaper.AI</strong> · An academic-industrial AI toolkit for empirical research<br/> <sub>Crafted by Stanford's empirical methodology team — covering the full pipeline from data cleaning to top-journal submission</sub> <br/> </div> [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [![GitHub stars](https://img.shields.io/github/stars/brycewang-stanford/Auto-Empirical-Research-Skills?style=

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Data from GitHub. Synced on 2026-07-03