skills/11-James-Traina-compound-science/skills/workflows-ideate/SKILL.md
Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research workflows:ideateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Divergent exploration before convergent brainstorming. Generate many candidates, then filter ruthlessly.
Read $ARGUMENTS. If the user provides a specific research question, ideate around it. If they provide a broad topic, explore broadly.
Generate 15-20 candidate research directions. Use these research-adapted ideation frames:
Dispatch methods-explorer and literature-scout agents in parallel to ground the ideation in real methods and recent papers.
Iron rule: Generate the full candidate list before critiquing any idea. Push past the first few obvious directions.
Entry condition: Phase 1 produced at least 15 candidate directions (the iron rule). Exit condition: 5-7 survivors identified, all rejected candidates have one-line rejection reasons.
For each candidate, evaluate:
Dispatch identification-critic to attack the top 10 candidates. Only candidates surviving adversarial scrutiny advance.
Target: 5-7 survivors with explicit rejection reasons for all others.
Write the ideation document to docs/ideation/ with YAML frontmatter:
---
status: complete
date: YYYY-MM-DD
topic: <descriptive topic>
candidates_generated: <N>
survivors: <N>
---
Content:
/workflows:brainstorm on the top 1-2 candidatesEnd with: "Ideation complete. Run /workflows:brainstorm [top candidate] to develop requirements for the strongest direction."
tools
Show mcp-stata identity, connected tools, and status. Use when the user asks if mcp-stata is available, asks about access to the toolkit, or asks what Stata tools are connected.
tools
Activate when users mention Stata commands, .do files, regressions, econometrics, stored results, graphs, dataset inspection, replication, or Stata errors. Route the task through mcp-stata tools and the specialized research skills instead of treating it as plain text coding.
development
Build and review paper-ready regression, balance, and summary tables from Stata outputs. Use when the user needs a clean table for a draft, appendix, or coauthor share-out.
tools
Install, configure, update, or verify mcp-stata across Claude Code, Codex, Gemini CLI, Cursor, Windsurf, and VS Code. Activate when users ask to set up the Stata toolkit or troubleshoot the installation.