What problem does it solve?
It converts observations or preliminary findings into structured, testable scientific hypotheses with clear mechanisms, competing alternatives, and falsifiable predictions.
Core Features & Use Cases
- Scientific-method workflow: clarifies the phenomenon, synthesizes literature evidence, drafts multiple competing mechanistic hypotheses, and evaluates them with explicit quality criteria.
- Experiment-ready design: proposes experiments aligned to each hypothesis and converts those into measurable outcomes and falsification conditions.
- Publication-style deliverable: generates a concise LaTeX hypothesis report using a structured template with executive summary, competing hypotheses, predictions, and appendices.
- Mandatory schematic figures: requires 1–2 scientific schematics (via scientific-schematics) to visually support the hypothesis framework and experimental logic.
- Guided literature grounding: includes dedicated references for literature search strategies and hypothesis/experimental quality patterns to improve rigor.
Quick Start
Use the hypothesis-generation skill to create a complete hypothesis report from your observations by asking: “Generate competing, testable hypotheses for the phenomenon: [describe observations], including mechanisms, key evidence, experiments, and quantitative predictions, and include at least one scientific schematic figure.”
