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skillboardPanel data analysis with Python using linearmodels and pandas.
Python Panel Data Purpose This skill helps economists run panel data models in Python using , , and , with correct fixed effects, clustering, and diagnostics. When to Use Estimating fixed effects or random effects models Running difference in differences on panel data Creating regression tables and plots in Python Instructions Follow these steps to complete the task: Step 1: Understand the Context Before generating any code, ask the user: What is the unit of observation and panel identifiers?…
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/python-panel-data · 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/31-thalysandratos-claude-code-skills/_skills/analysis/python-panel-data" ".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/31-thalysandratos-claude-code-skills/_skills/analysis/python-panel-data" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/python-panel-data
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.
Instructs shell/process/package operations that run commands on the host.
Evidence: pip install· fingerprint 7944ec554efca445