skillboardUpdated every 6 hours
skillboardR-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and publication-ready outputs.
R Econometrics Skill Core Packages Data Manipulation (data.table) Estimation (fixest) Basic Fixed Effects Difference in Differences Sun Abraham / Callaway Sant'Anna Tables Output modelsummary fixest::etable Figures Coefficient Plots Maps (sf) Spatial Econometrics Machine Learning for Causal Inference Best Practices Always set seed for reproducibility: Use for large datasets Preallocate data.table columns when adding many variables Use for fast CSV output
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/econometrics-r · pinned to the source commit
# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/econometrics-r" ".claude/skills/"
rm -rf .skillboard-tmpReview the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
sudo apt update && sudo apt install -y gitnpm install -g @anthropic-ai/claude-code# Run from your project root
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git .skillboard-tmp
git -C .skillboard-tmp checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills"
cp -r ".skillboard-tmp/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/econometrics-r" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/econometrics-r
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.