hypogenic
CommunityGenerate and test scientific hypotheses.
Education & Research#llm#data analysis#literature review#research automation#hypothesis generation#scientific discovery
AuthorRowtion
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the generation and testing of scientific hypotheses from data and literature, significantly accelerating the research discovery process.
Core Features & Use Cases
- Automated Hypothesis Generation: Generates testable hypotheses from tabular datasets (HypoGeniC) or by integrating literature insights (HypoRefine).
- Data-Driven & Literature-Informed: Supports both purely data-driven exploration and synergistic approaches combining existing research with empirical findings.
- Use Case: A researcher can input a dataset and relevant papers, and the Skill will propose novel, testable hypotheses for further investigation, drastically reducing the time spent on ideation and initial validation.
Quick Start
Use the hypogenic skill to generate hypotheses from the provided dataset configuration.
Dependency Matrix
Required Modules
hypogenicpyyamlnumpypandas
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hypogenic Download link: https://github.com/Rowtion/Bioclaw/archive/main.zip#hypogenic Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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