research-ideation

To generate testable research questions from a dataset, provide a dataset description and the skill outputs 3-5 ranked questions spanning descriptive, correlational, causal, mechanism, and policy angles. It then drafts hypotheses and identification strategies, saving a structured quality report to quality_reports.

An identification strategy for causal empirical economics is formulated by selecting methods like DiD, IV, RDD, or synthetic control, defining treatment and control groups, and outlining key assumptions and pitfalls. The skill drafts this strategy directly from your topic or data availability description.

Structuring research hypotheses for a literature review involves defining testable predictions across descriptive, correlational, and causal angles. The skill generates structured hypotheses alongside ranked research questions and related literature guidance, packaging them into a Markdown quality report.

Yes, you can use this skill for planning descriptive and policy-oriented studies without prior data by providing an open-ended topic description. It generates ranked research questions, hypotheses, and feasible empirical strategies while assessing data requirements for your project.

Limitations of automated empirical strategy drafting include relying on the provided topic or dataset description for feasibility ranking, requiring local configuration rules for execution, and outputting a Markdown quality report that still needs manual review for methodological pitfalls.