brycewang-stanford/research-ideation
skills/14-luischanci-claude-code-research-starter/dot-claude/skills/research-ideation/SKILL.md
Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset.
$ install --global
skillsauthnpx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research research-ideationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 28, 2026, 12:00 AM131.3s1 file scanned
SKILL.md
- 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
-
Understand context: Read CLAUDE.md and any relevant project files.
-
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?
-
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
-
Rank questions by feasibility and contribution in a summary table.
-
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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