Clean and transform messy data in Stata with reproducible workflows
Stata Data Cleaning Purpose This skill helps economists clean, transform, and prepare datasets for analysis in Stata. It emphasizes reproducibility, proper documentation, and handling common data quality issues found in economic research. When to Use Cleaning raw survey or administrative data Merging multiple data sources Handling missing values, duplicates, and outliers Creating analysis ready panel datasets Documenting data transformations for replication Instructions Step 1: Understand the…
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/stata-data-cleaning · 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/09-meleantonio-awesome-econ-ai-stuff/_skills/data/stata-data-cleaning" ".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/09-meleantonio-awesome-econ-ai-stuff/_skills/data/stata-data-cleaning" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/stata-data-cleaning
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.