brycewang-stanford/codebook
skills/29-quarcs-lab-project20XXy/dot-claude/skills/codebook/SKILL.md
Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.
$ install --global
skillsauthnpx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research codebookInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- codebook
- description:
- Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.
- argument-hint:
- <path to dataset>
- allowed-tools:
- Bash, Read, Write, Glob, Grep
Generate Variable Codebook
Auto-generate a Markdown codebook documenting all variables in a dataset.
Arguments
$ARGUMENTS— path to a dataset file (e.g.,data/rawData/sample_data.csv,data/panel.dta)
Steps
-
Determine the file format from the extension:
.csv— read with pandasread_csv.dta— read with pandasread_stata.xlsx/.xls— read with pandasread_excel.parquet— read with pandasread_parquet- Other formats: ask the user how to load it
-
Load the dataset using
uv run pythonand extract metadata for each variable:- Variable name
- Data type (numeric, string, categorical, datetime)
- Non-missing count and missing count
- Number of unique values
- For numeric variables: min, max, mean, median, standard deviation
- For categorical/string variables: top 5 most frequent values with counts
- For datetime variables: min and max date
-
Generate a Markdown codebook with:
- Header: Dataset name, file path, number of observations, number of variables, date generated
- Summary table: Variable name | Type | Non-missing | Unique | Description (placeholder)
- Detailed sections per variable: Full statistics and a
[FILL: description]placeholder for the user to add a human-readable description
-
Derive the output filename from the dataset name:
data/rawData/sample_data.csv→references/sample-data-codebook.md
-
Save to
references/<dataset-name>-codebook.md -
Report the file path and the number of variables documented.
Error handling
- If the file does not exist, report the error and suggest checking the path.
- If the file cannot be read (corrupt, unsupported format), report the error and ask for guidance.
- Never modify the source data file. This command is read-only with respect to data.
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