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From mcp-stata
Describes and summarizes current Stata dataset in memory with structure, stats, and variable codebooks. Useful for data exploration before analysis.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mcp-stata:stata-inspectThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
If an argument (variable name) is provided:
If an argument (variable name) is provided:
stata_inspect_data(action="codebook", query=<variable>) and display the codebook output.If no argument is provided:
stata_inspect_data(action="describe") — display the dataset structure (obs, vars, types, labels).stata_inspect_data(action="summary") — display descriptive statistics (N, mean, sd, min, max).If either call returns an error indicating no data in memory, tell the user to load data first (e.g., /stata-run sysuse auto, clear or stata_load_data("auto")).
npx claudepluginhub tmonk/mcp-stata --plugin mcp-stataAudits Stata datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Useful for data QA, codebook reviews, sanity checks, and pre-analysis cleanup.
Generates a citable data dictionary/codebook from tabular datasets (CSV/TSV/Excel/Parquet/Stata/SAS). Profiles each variable's role, type, missingness, and distributions, flagging coded values as [NEEDS DICTIONARY].
Explores datasets interactively: lists tables with stats, previews rows and schemas, shows column distributions, flags quality issues with SWD-styled charts.