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From mcp-stata
Lists, exports (single or all) as PNG, and reviews Stata graphs from the current session for titles, axes, legends, and accuracy.
npx claudepluginhub tmonk/mcp-stata --plugin mcp-stataHow this skill is triggered — by the user, by Claude, or both
Slash command
/mcp-stata:stata-graphThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
1. Call `stata_manage_graphs(action="list")` to see all graphs in memory, with the active graph marked.
Reviews Stata regression outputs, tables, and graphs for publication readiness. Checks statistical clarity, labeling, sample consistency, visual presentation for papers, seminars, or reviews.
Provides Stata reference for .do files, data management, econometrics, causal inference, graphics, Mata programming, and packages like reghdfe, estout, did, rdrobust. Aids writing, debugging, explaining code.
Develops causal diagrams (DAGs) from social-science research questions, theory, or literature, and renders publication-ready figures using Mermaid, R (ggdag), or Python (networkx).
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Call stata_manage_graphs(action="list") to see all graphs in memory, with the active graph marked.
If an argument (graph name) was provided:
stata_manage_graphs(action="export", graph_name=<argument>, format="png") and display the exported file path.If no argument was provided and graphs exist:
stata_manage_graphs(action="export_all", format="png") to export all graphs.If no graphs are in memory, tell the user to create a graph first (e.g., /stata-run histogram price or /stata-run scatter price mpg).
After export, review the graph(s): check titles, axis labels, legends, and whether the plot matches expectations. Report any issues.