hypothesis-generation

Generate testable hypotheses by structuring observations into mechanistic explanations with competing predictions. This Skill guides you through literature-grounded synthesis to produce 3-5 hypotheses with explicit reasoning, proper citations, and experimental design suggestions aligned with scientific method standards.

Hypothesis development follows a structured workflow: document observations, synthesize relevant literature, propose competing mechanistic explanations, derive testable predictions, and plan experiments to distinguish between them. This Skill automates the synthesis step across biomedical, physical, computational, and social domains.

Yes. This Skill applies structured hypothesis generation across biomedical, physical, computational, and social systems. It handles domain-specific phenomena by requiring explicit mechanistic reasoning and standardized output templates, making it adaptable to your research context.

After generating hypotheses, this Skill provides experimental design tips that suggest specific tests and predictions for each hypothesis. These recommendations help you translate mechanistic explanations into testable protocols aligned with your research question.

Provide a clear description of the phenomenon you've observed. The Skill uses this input alongside literature synthesis to generate competing mechanistic explanations, testable predictions, and experimental strategies that meet standardized hypothesis-quality criteria.