Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-ideation --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: research-ideation
description: Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.
disable-model-invocation: true
argument-hint: "[topic, phenomenon, or dataset description]"
allowed-tools: ["Read", "Grep", "Glob", "Write"]
---
## Research Ideation
Generate 3-5 research questions ordered from descriptive to causal.
### Steps
1. **Understand context**: Read CLAUDE.md and any relevant project files.
2. **Generate 3-5 research questions** ordered by type:
- **Descriptive:** What are the stylized facts?
- **Correlational:** What patterns exist in the data?
- **Causal:** What is the effect of X on Y?
- **Mechanism:** Through what channel does X affect Y?
- **Policy:** What are the policy implications?
3. **For each question**, develop:
- Testable hypothesis with expected sign/magnitude
- Identification strategy (DiD, IV, RDD, synthetic control, matching, etc.)
- Data requirements with availability assessment
- Key assumptions and their plausibility
- Potential pitfalls and how to address them
- 2-3 related papers
4. **Rank questions** by feasibility and contribution in a summary table.
5. **Save output** to `quality_reports/research_ideation_[sanitized_topic].md`.
### Principles
- Be creative but grounded in what's feasible
- Think like a referee: what would make this convincing?
- Consider data availability realistically
- Suggest specific datasets (FRED, Census, PSID, BLS, central bank data, etc.)
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