🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | A curated collection of 23,000+ AI Agent skills covering empirical research in 8 social science disciplines. CoPaper.AI completes a reproducible, rigorous empirical paper in 20 minutes and supports user-uploaded Skills. -- Maintained by CoPaper.AI from Stanford REAP.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
R-to-Python translation for data analysis. Maps R packages (tidyverse, ggplot2, fixest, survey, sf, plm) to Python equivalents (polars, plotnine, pyfixest, svy, geopandas). Use when user has R background or requests R-equivalent code comments.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Translating technical findings for non-technical audiences. Narrative frameworks (Pyramid Principle, SCQA), plain-language translation, executive summaries, policy briefs, causal language. Use when presenting to stakeholders or reviewing deliverables.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Guide for creating and auditing DAAF skills (SKILL.md). Covers frontmatter, metadata vocabulary, progressive disclosure, decision trees, reference files. Use when creating, reviewing, or debugging skill loading. For agent files, use agent-authoring.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Stata-to-Python translation for data analysis. Maps Stata commands (reghdfe, xtreg, ivregress, margins, esttab, svy:) to Python (polars, pyfixest, statsmodels, svy). Use when user has Stata background or requests Stata-equivalent code comments.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. Formula API. Use for regressions without fixed effects, GLMs, or time series. For FE/DiD use pyfixest; panel/IV use linearmodels.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. Polars-native. Use for NHANES, CPS, ACS PUMS, BRFSS, DHS. Non-survey regression: statsmodels/pyfixest.
brycewang-stanford/Auto-Empirical-Research-Skills
Skill Claude CodeCodex
STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement [method]?" or "Show me code for [technique]" — including: entropy…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: