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Auto-Empirical-Research-Skills

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23,000+ curated AI agent skills for empirical research across 8 social science disciplines, by Stanford REAP and CoPaper

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🔬 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.

Pros

  • +Huge curated library of 23,000+ research skills spanning 8 social science disciplines
  • +Covers full empirical workflow from data cleaning to journal submission with reproducible pipelines
  • +Backed by Stanford REAP with rigor benchmarks, eval harness, and external scoreboard
  • +Integrates with Claude Code, Codex, and StatsPAI MCP server for agent-driven analysis

Cons

  • −Requires familiarity with AI coding agents and skill installation conventions
  • −Heavy focus on social science econometrics; less useful for other research domains
  • −Large catalog can be overwhelming without the search tool or quickstart tour

Target audience: Social science researchers and data analysts who want AI agents to automate reproducible empirical research pipelines.

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