brycewang-stanford/Auto-Empirical-Research-Skills
Plugin marketplace
First-party, install-ready Claude Code plugins from the Auto-Empirical-Research-Skills collection (Stanford REAP x CoPaper.AI). Add this marketplace to one-command-install the empirical-research skill stacks (AER manuscript pipeline + explicit Python / Stata / R analysis pipelines); the wider catalog of 50+ third-party skills is browsable in the repo and consumed via copy-into-.claude/skills or --plugin-dir.
- GitHub stars
- 5K
- plugins
- 4
- last updated
- Nov 11, 2026
Add marketplace
/plugin marketplace add brycewang-stanford/Auto-Empirical-Research-SkillsRun it inside Claude Code, then install plugins from it with /plugin.
Plugins
1aer-skillsNine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER-paper exemplars.1.0.0version
2empirical-analysis-pythonExplicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.1.0.0version
3empirical-analysis-rExplicit 8-step empirical-analysis pipeline in the modern tidyverse + econometrics R stack (dplyr + haven + fixest + did + synthdid + rdrobust + MatchIt + WeightIt + grf + DoubleML + mediation + marginaleffects + modelsummary). All eight steps fit in a single .qmd; `quarto render` produces a unified PDF/HTML/Word reproducibility report. Includes epidemiology and ML-causal modes.1.0.0version
4empirical-analysis-stataExplicit 8-step empirical-analysis pipeline in the traditional Stata ecosystem (reghdfe + ivreg2 + csdid + did_imputation + sdid + rdrobust + synth + psmatch2 + teffects + esttab + coefplot): from use/import to .tex/.rtf tables and .pdf figures, with the full modern DID toolkit (bacondecomp + honestdid + rwolf + ritest). Includes epidemiology and ML-causal modes. The first choice for referee-level Stata replication packs.1.0.0version
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- Repository
- github.com/brycewang-stanford/Auto-Empirical-Research-Skills
- Categories
- academic
- Listed since
- Oct 27, 2026