←Leaderboard/Research/Auto-Empirical-Research-Skills
Last commit on August 4, 2026·Created on April 3, 2026

brycewang-stanford/Auto-Empirical-Research-Skills

“A comprehensive catalog for automating causal inference, econometrics, and academic manuscript production.”
Combined rank
#81
across all skills
In Research
#6
category rank
Stars
3.3k
+4.0% in last 7d
Forks
429
+3.9% in last 7d
Watchers
9
+12.5% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Open on GitHub
Description

This repository provides a structured routing system for empirical research tasks across social science disciplines. It enables researchers to automate complex workflows including data acquisition, replication, and the transition from optimized outlines to submission-ready manuscripts.

The skill set extends into the final stages of academic publishing, offering specialized tools for peer review responses, citation verification, and editing to remove AI-generated content markers.

WHO IT'S FOR
Social science researchers
automate causal inference and econometrics workflows
Academic writers
compose submission-ready manuscripts from outlines
Medical imaging specialists
conduct systematic medical imaging reviews
AI agent builders
integrate empirical research capabilities into IDEs
30 Days of GitHub Stars
+567 stars
↑ 22.2% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install
1161 Skills · 15 Compatible agents · 3 categories · 4 install paths
Compatible agents
❯Claude Code❯Codex❯Cursor❯Gemini CLI❯OpenClaw❯Copilot❯Windsurf❯Amp❯OpenCode❯Hermes❯Antigravity❯Devin❯DeepSeek❯Cline❯OpenHands
Categories
ResearchDataScience
Install via
Claude Plugin
Repository instructions
Clone to Claude
Repository instructions
Clone to Codex
Repository instructions
Manual Copy
Repository instructions
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