←Leaderboard/Research/Auto-Empirical-Research-Skills
Last commit on October 30, 2026·Created on April 3, 2026

brycewang-stanford/Auto-Empirical-Research-Skills

“Conduct empirical research in the social sciences.”
Combined rank
#127
across all skills
In Research
#7
category rank
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TL;DR

This collection provides a structured framework for applied economists and quantitative social scientists to manage the full lifecycle of empirical research. It streamlines the transition from raw data acquisition and cleaning to baseline modeling and robustness checks.

The system is designed to produce publication-ready econometric tables and figures that adhere to the standards of major economics journals, facilitating a more rigorous path from initial analysis to a finished manuscript.

WHO IT'S FOR
Quantitative social scientists
automate end-to-end empirical analysis workflows
Applied economists
generate publication-ready econometric tables and figures
Academic researchers
draft responses to peer review referee reports
AI agent builders
integrate empirical research capabilities into AI agents
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Want to install it?
Claude Plugin · Clone to Claude · Clone to Codex · Manual CopyRepository instructions