Generate and test hypotheses from datasets and literature using HypoGeniC workflows.
npx skills add https://github.com/jackspace/ClaudeSkillz --skill hypogenic
Please help me install this Agent Skill. Skill: hypogenic Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/scientific-pkg-hypogenic Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill hypogenic
Hypogenic automates hypothesis generation and testing using large language models to accelerate scientific discovery across domains.
Install via pip, clone datasets, and run CLI or Python API to generate and test hypotheses.
High-intent search queries and answers about installing and using this skill.
Hypogenic automates hypothesis generation from datasets using LLMs, applying HypoGeniC workflows to produce candidate hypotheses at scale. Configure prompts, specify your dataset format, and run the CLI or Python API to generate testable hypotheses tailored to your domain.
Yes. HypoRefine integrates literature through PDF processing with GROBID, extracting references and content to inform hypothesis refinement. This combines data-driven generation with literature context for more grounded scientific exploration.
Hypogenic implements evaluation workflows that systematically test hypotheses against your observational data. The Union method combines multiple hypothesis-testing strategies with parallel processing and Redis caching to scale across large datasets.
Hypogenic supports empirical research including deception detection, AI-generated content identification, mental health indicators, and other domains requiring data-driven hypothesis exploration and systematic evaluation.
Yes. Hypogenic formats outputs for HuggingFace datasets, enabling seamless integration with standard dataset workflows. This modular architecture supports flexible data ingestion and export across research pipelines.
RamanEbrahimiGenerate and test hypotheses about empirical data patterns with literature insights.
jaminitachiAnalyze datasets with descriptive statistics, hypothesis testing, and visualization.
tony-ng-vnManage models, datasets, spaces, and repos on the Hugging Face Hub.
dakesanGenerate testable scientific hypotheses with mechanistic explanations and experimental predictions.
