What problem does it solve? Turning raw observations or preliminary data into rigorous, testable scientific hypotheses is slow and unstructured; this Skill applies a systematic scientific-method workflow to produce competing mechanistic hypotheses, falsifiable predictions, and publication-ready LaTeX reports. ## Core Features & Use Cases - Structured Hypothesis Workflow: Guides literature search (PubMed and web), evidence synthesis, generation of 3-5 competing hypotheses, and quality evaluation against testability, falsifiability, and parsimony criteria. - Experimental Design Planning: Proposes discriminating experiments with controls, sample sizes, and statistical approaches drawn from documented design patterns (RCTs, cohort studies, in vitro/in vivo, computational models). - LaTeX Report Generation: Produces a professional report using a custom style package with colored hypothesis, prediction, and comparison boxes, a 4-page main text, and comprehensive appendices targeting 50+ citations. - Use Case: A researcher observes an unexpected correlation between a biomarker and disease progression; the Skill searches the literature, formulates three competing mechanistic hypotheses, designs experiments to distinguish them, and compiles a formatted XeLaTeX report. ## Quick Start Ask the assistant to generate competing testable hypotheses with predictions and a LaTeX report from your experimental observations or dataset findings.
