skills/14-luischanci-claude-code-research-starter/dot-claude/skills/devils-advocate/SKILL.md
Challenge research design decisions, assumptions, and methodology choices with specific critical questions. Helps strengthen the paper before submission.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research devils-advocateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Critically examine a research design, methodology, or assumption with 5-7 specific challenges.
Understand the target: Read $ARGUMENTS and any relevant project files (CLAUDE.md, manuscript, estimation code).
Generate 5-7 challenges from these categories:
For each challenge, provide:
Summary verdict: Strengths, critical changes needed, and suggested improvements.
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".