skills/11-James-Traina-compound-science/skills/estimate/SKILL.md
Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research estimateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This command routes to /workflows:work with estimation pipeline context.
Before starting, load the empirical-playbook skill and its references/estimation-pipeline.md for the phased estimation workflow (data validation → identification → estimation → standard errors → robustness → results).
Now run /workflows:work with the estimation pipeline framing. Follow the phase gates in estimation-pipeline.md — do not proceed to the next phase until the current phase's gate conditions are met.
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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".