Awesome Agent Skills For Empirical Research

VERIFIED

🔬 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.

Downloads 0
Stars 1.2K
Version 1.0.0
Quality 97/100 · Excellent

Install with one command

$ npx skills add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research

Best for

GitHub automation

Browse skills for pull requests, issues, repository triage, changelog generation, release notes, and developer workflow automation.

Choose it when

  • You want a GitHub-backed skill with 1.2K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 4d ago
  • License: Unknown
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

97
GitHub stars
1.2K
Freshness
4d ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Stack fit

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Overview

🔬 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.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

stataFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
5/24/2026
Published
5/23/2026

Frameworks & Tools

StataAI Agents

Author

B

brycewang-stanford

@brycewang-stanford

Platform Fit

Health Signals

GitHub stars
1.2K
Quality score
63/100
Last GitHub push
May 19, 2026
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: Unknown
  • Manually verified by team