{"skill":{"slug":"scientific-thinking","displayName":"Scientific Thinking","summary":"Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":195,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775706878890,"updatedAt":1775707307758},"latestVersion":{"version":"1.0.0","createdAt":1775706878890,"changelog":"Initial release of the \"scientific-thinking\" skill.\n\n- Provides a structured framework for scientific reasoning, problem framing, evidence evaluation, hypothesis comparison, and argument construction.\n- Emphasizes clear distinction between evidence types (fact, inference, hypothesis) and calibration of claim strength.\n- Outlines a stepwise methodology, including consideration of alternative explanations and explicit definition of boundaries and uncertainties.\n- Offers detailed output structure and concise style guidance for research-oriented tasks.\n- Compatible with any LLM-based agent on major platforms; no external dependencies.","license":"MIT-0"},"metadata":{"os":["darwin","linux","win32"],"systems":null},"owner":{"handle":"agents365-ai","userId":"s177ks88grnjrm2y5799tcjned83g880","displayName":"Agents365.ai","image":"https://avatars.githubusercontent.com/u/221161299?v=4"},"moderation":null}