skills/64-tmonk-mcp-stata/skills/stata-inspect/SKILL.md
Describe and summarize the current dataset in memory. Optionally inspect a specific variable with codebook.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stata-inspectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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")).
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Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
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Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".