Automates scientific hypothesis generation and testing using LLMs and literature analysis.
npx skills add https://github.com/yf8578/clawomics --skill hypogenic-yf8578
Please help me install this Agent Skill. Skill: hypogenic Source: https://github.com/yf8578/clawomics/tree/main/skills/hypogenic Command: npx skills add https://github.com/yf8578/clawomics --skill hypogenic-yf8578
This Skill automates the generation and testing of scientific hypotheses, accelerating discovery by combining data-driven insights with literature review.
Use the hypogenic skill to generate 20 hypotheses from the data in './data/your_task/config.yaml'.
High-intent search queries and answers about installing and using this skill.
Automate scientific hypothesis generation by applying LLMs to analyze observational data and research literature, producing testable hypotheses for empirical research and theory validation.
Integrate literature review with data analysis using the combined Union method, synergizing research paper insights with empirical data to systematically generate and validate testable hypotheses.
The literature-integrated method works by combining insights extracted from research papers with empirical observational data, using LLMs to refine and generate scientifically testable hypotheses.
You need Python and pip installed to run automated literature analysis, while Redis is an optional dependency required only for caching during the hypothesis generation and testing process.
Generate testable hypotheses for a new disease study by analyzing patient data alongside relevant medical literature, using data-driven and literature-integrated methods to systematically propose and test potential causes.
Configure data-driven hypothesis generation by defining your task parameters in a config.yaml file, allowing the LLM to automatically generate and test a specified number of hypotheses from your data.
Weiwei-MaoGenerate and test LLM-driven hypotheses from tabular datasets.
GiorgioRicciardielloLog experiments with parameters, results, and artifacts via Obsidian REST API.
Yezez9Generate and test scientific hypotheses from tabular data and literature using LLMs.
hxk622Generate and test hypotheses from tabular datasets using HypoGeniC and HypoRefine methods.
