Auto-Empirical-Research-Skills
Accelerates empirical research workflows by providing pre-built, reproducible agent skills across social science domains, reducing time-to-insight and enabli…
A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines, maintained by CoPaper.AI out of Stanford REAP. Aimed at producing reproducible, publication-ready empirical papers; users can also upload their own skills.
- Ask Claude to design a reproducible empirical research methodology using pre-built social science skills.
- Generate data analysis workflows for psychology or economics research by selecting from 23,000+ curated agent skills.
- Automate research paper structure and statistical validation by applying proven empirical research patterns.
Accelerates empirical research workflows by providing pre-built, reproducible agent skills across social science domains, reducing time-to-insight and enabling non-specialists to conduct rigorous quantitative studies.
Research teams and data scientists conducting empirical studies in economics, sociology, psychology, or policy analysis.
https://github.com/brycewang-stanford/Auto-Empirical-Researc...
By brycewang-stanford
How to Get It
See repository README
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Design a reproducible empirical research methodology using pre-built social science skills
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,987 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 1,987 GitHub stars; contributors unknown; last commit 0d ago; license no license.