Skills for Real Engineers. Straight from my .agents directory.
39 skills
Full-empirical-analysis-skill-R
Agent skill from
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest + clubSandwich + AER + ivreg + did + bacondecomp + HonestDiD + eventstudyr + rdrobust + rddensity + Synth + gsynth + synthdid + MatchIt + WeightIt + cobalt + ebal + grf + DoubleML + mediation + marginaleffects + modelsummary + kableExtra + gt + ggplot2 + ggpubr + cowplot + binsreg. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step R pipeline an applied economist runs on every paper — (1) data import & cleaning (read_dta/read_csv, naniar, janitor, validate-merges), (2) variable construction (mutate/across/winsorize/group_by + lag/lead with
How to install Full-empirical-analysis-skill-R
install Full-empirical-analysis-skill-R
# install the Auto-Empirical-Research-Skills pack with the skills CLI
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills# or add only this skill to Claude Code: copy the folder
skills/00.3-Full-empirical-analysis-skill_R/
# into
~/.claude/skills/00.3-Full-empirical-analysis-skill_R/ (all projects)
.claude/skills/00.3-Full-empirical-analysis-skill_R/ (one project)
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