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

使用大型語言模型自動生成假設並進行測試。在從數據集中生成科學假設、將文獻見解與經驗數據相結合、根據觀察數據測試假設或在欺騙檢測、人工智能內容檢測、心理健康分析或其他實證研究任務等領域進行系統假設探索以發現研究發現時，可以使用此技能。 來源：microck/ordinary-claude-skills。

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