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CoPaper.AI Agent Skills resource

🔬 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。-- Maintained by CoPaper.AI from Stanford REAP. observed · 2026-08-28

github.com/brycewang-stanford/Auto-Empirical-Research-Skills · homepage · Stata · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • Release rhythm 59
  • Longevity 10

Flags: young no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 152
  • days_rel: 62
  • days_push: 7
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

3558 stars · 459 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of 23,000+ AI agent skills for empirical research across 8 social science disciplines, maintained by CoPaper.AI from Stanford REAP. It supports a full reproducible research pipeline from data cleaning to journal submission, and is designed to work with the CoPaper.AI agent platform.

Use cases

  • find agent skills for empirical economics research
  • automate reproducible social science papers with AI agents
  • get Stata and R analysis skills for academic research
  • build an AI research assistant for political science or sociology
  • browse a curated library of research workflow skills
  • run a full empirical research pipeline from data cleaning to submission

When to choose

  • you use AI coding agents for academic empirical research in the social sciences
  • you want a curated, validated library of research-oriented agent skills
  • you need reproducible research workflows covering data cleaning through publication

When to avoid

  • you need general-purpose agent skills outside academic research
  • you want a standalone application rather than a skills collection
  • your research is in natural sciences or engineering rather than social sciences

Facets

dataset · maturity active

agent-framework prompt-engineering data-science developer-tools artificial-intelligence data-science education tutorials awesome-lists cross-platform python cli agent-skills empirical-research social-science economics political-science psychology sociology reproducible-research stata academic-writing awesome-list skills-library copaper ai-agents

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="brycewang-stanford/Auto-Empirical-Research-Skills")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem