skills/64-tmonk-mcp-stata/skills/stata-help/SKILL.md
Look up Stata command documentation and display formatted help text.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stata-helpInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The argument is the Stata command or help topic (e.g., "regress", "graph", "if", "egen", "frames").
Call stata_get_help(topic=<argument>, plain_text=False, merge_paragraphs=True).
Display the help text. The response is formatted as Markdown. Present:
If no argument is provided, ask the user which Stata command they want help with.
If the help topic is not found (error in response), suggest:
help contents as the topic for the help index/stata-inspect using action="search"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".
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".