Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.
Generate Variable Codebook Auto generate a Markdown codebook documenting all variables in a dataset. Arguments — path to a dataset file (e.g., , ) Steps 1. Determine the file format from the extension: — read with pandas — read with pandas / — read with pandas — read with pandas Other formats: ask the user how to load it 2. Load the dataset using and extract metadata for each variable: Variable name Data type (numeric, string, categorical, datetime) Non missing count and missing count Number of…
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/codebook · 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/29-quarcs-lab-project20XXy/dot-claude/skills/codebook" ".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/29-quarcs-lab-project20XXy/dot-claude/skills/codebook" ".claude/skills/"
rm -rf .skillboard-tmpDestination: .claude/skills/codebook
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.
Declares shell/exec-level tools that grant wide host access.
Evidence: Bash· fingerprint d1e9567da9a8a4b0