hypothesis-generation

Testable hypotheses translate observations into falsifiable predictions grounded in evidence. This Skill automates the process by synthesizing literature, proposing 3-5 competing mechanistic explanations, and designing experiments to distinguish between them, accelerating hypothesis development for research planning.

Yes. The Skill generates multiple hypotheses with experimental designs for each, producing testable predictions and controls for each mechanistic explanation. This enables parallel experimental planning to efficiently distinguish between competing theories.

Literature-grounded synthesis is built into the workflow: provide observations and relevant studies, and the Skill incorporates evidence from reviews and primary sources to ground each hypothesis in existing knowledge, ensuring predictions align with established mechanisms.

Outputs use standardized templates presenting hypotheses with mechanistic explanations, testable predictions, proposed experiments with controls, and quality assessments. Templates ensure consistent structure across scientific domains for clear experiment planning.

The Skill applies across scientific domains—biology, chemistry, physics, medicine, and others. It handles any context where observations need structured conversion into falsifiable predictions and experimental designs for hypothesis testing.

No. The Skill guides users from observation through testable hypothesis generation and experimental design proposals. It structures the reasoning and produces actionable experiment outlines, making it accessible for researchers at various experience levels.