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The Hypothesis Generation skill provides a systematic framework for scientific inquiry, enabling users to transform raw observations into rigorous, testable explanations across multiple domains. By integrating literature synthesis—utilizing specialized tools like PubMed—with mechanistic reasoning, it helps researchers develop competing explanations, evaluate hypothesis quality against falsifiability criteria, and propose detailed experimental designs. This skill is essential for anyone conducting scientific research who needs to ensure their inquiries are grounded in evidence, logically sound, and structured for empirical validation.