skills/64-tmonk-mcp-stata/skills/stata-replication/SKILL.md
Run replication, robustness, and specification-sensitivity workflows for Stata projects. Use when a researcher wants to reproduce a result, rerun a pipeline, compare specifications, audit a do-file sequence, or check whether a claim is stable.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research stata-replicationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill for reproducibility work rather than one-off execution.
Read references/workflow.md for the replication checklist and use scripts/compare_specs.py and scripts/summarize_log.py for deterministic comparisons.
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".