hypogenic

SKILL.md

Hypogenic provides automated hypothesis generation and testing using large language models to accelerate scientific discovery. The framework supports three approaches: HypoGeniC (data-driven hypothesis generation), HypoRefine (synergistic literature and data integration), and Union methods (mechanistic combination of literature and data-driven hypotheses).

Generate hypotheses solely from observational data through iterative refinement.

Best for: Exploratory research without existing literature, pattern discovery in novel datasets

使用大型语言模型自动生成假设并进行测试。在从数据集中生成科学假设、将文献见解与经验数据相结合、根据观察数据测试假设或在欺骗检测、人工智能内容检测、心理健康分析或其他实证研究任务等领域进行系统假设探索以发现研究发现时，可以使用此技能。 来源：microck/ordinary-claude-skills。

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