hypothesis-generation

To generate testable hypotheses from observations, the skill translates your preliminary data into 3-5 distinct mechanistic hypotheses. It identifies supporting evidence and competing explanations to structure your scientific inquiry.

The best way to distinguish competing hypotheses is to propose concrete experimental designs and measurable predictions. The skill outlines initial experiments to evaluate mechanistic hypotheses and structure your testing methodology.

Yes, you can use it to organize cited literature for a scientific hypothesis generation report. The skill produces a structured output with references, methodological notes, and evidence evaluation criteria suitable for appendices.

Yes, this hypothesis generation approach works across different scientific domains. The skill applies structured reasoning and evidence-based interpretation to translate observations into testable hypotheses regardless of the specific scientific field.

To start converting preliminary data into mechanistic hypotheses, you need your raw observations and any existing literature. The skill evaluates these inputs to identify key evidence gaps and formulate actionable experimental planning.