alterlab-hypogenic
CommunityAutomate hypothesis generation with LLMs.
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Hypothesis generation and testing in scientific workflows is manual, time-consuming, and prone to cognitive bias. This skill automates end-to-end generation and evaluation of hypotheses by leveraging large language models to combine data-driven insights with literature-informed reasoning.
Core Features & Use Cases
- Supports three integration modes: HypoGeniC (data-driven), HypoRefine (literature-informed), and Union methods (hybrid).
- Provides modular, YAML-configured prompts and templates to customize observations, batched generation, and inference for domain-specific tasks.
- Facilitates rapid hypothesis testing and iterative experimentation with optional caching, parallelism, and structured evaluation.
Quick Start
Create a task configuration, generate hypotheses with the Hypogenic CLI, and run inference on your test data.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: alterlab-hypogenic Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-hypogenic Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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