ml-hypogenic

What problem does it solve?

This Skill automates the generation and testing of scientific hypotheses from tabular datasets, accelerating the discovery process by leveraging LLMs and literature insights.

Core Features & Use Cases

• Automated Hypothesis Generation: Create testable hypotheses directly from your data or by integrating existing research.
• Data-Driven Exploration: Systematically explore patterns and generate novel research questions.
• Literature Integration: Combine theoretical knowledge with empirical evidence for more robust hypotheses.
• Use Case: Use this Skill to automatically generate and test hypotheses about factors influencing customer churn based on user behavior data and relevant academic research.

Quick Start

Use the ml-hypogenic skill to generate 20 hypotheses from the provided configuration file.