Auto-Empirical-Research-Skills

Why we included this project

Empirical social scientists working with coding agents often waste hours hunting for the right tool, and this repo is built to fix that. It collects more than 20,000 agent skills spanning economics, political science, psychology, sociology, and other social-science fields, covering the whole pipeline from data cleaning through causal inference to tables, citation, replication, and peer review. Beyond the searchable catalog, the maintainers ship first-party skills built on their StatsPAI DSL that route an empirical task to the correct child skill instead of loading everything into context. Community skills are included as versioned snapshots with provenance tracked, and you can import the whole repo as a single router skill into Codex, Claude Code, or similar IDEs. If you want reproducible, standards-following empirical workflows in Python, Stata, or R, the curated collections are a practical starting point.