Generate and test hypotheses on tabular datasets using large language models.
npx skills add https://github.com/tassiovale/claude-code-kit --skill hypogenic-tassiovale
Please help me install this Agent Skill. Skill: hypogenic Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/hypogenic Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill hypogenic-tassiovale
This Skill automates the process of generating and testing hypotheses on tabular datasets, saving time and effort in scientific research and data analysis.
Generate hypotheses using Hypogenic with the following command:
hypogenic_generation --config ./data/your_task/config.yaml --method hypogenic --num_hypotheses 20
High-intent search queries and answers about installing and using this skill.
You can automate hypothesis generation on tabular datasets by using large language models via the hypogenic package. Execute the process through the command line interface by specifying your configuration YAML files to generate and test empirical hypotheses automatically.
Yes, generating research hypotheses using both literature and empirical data is supported via a combined approach. This method integrates literature insights with your tabular data to produce data-driven, testable hypotheses for scientific research.
The best way to generate testable hypotheses for scientific research is using automated LLM-based tools. This approach supports data-driven, literature-based, and combined methods to systematically generate and validate hypotheses on tabular datasets.
Yes, specific configuration files are required to run large language model hypothesis testing. You need a YAML configuration file specifying data and model parameters to execute the generation command successfully on your tabular datasets.
You can generate multiple hypotheses from a dataset in a single run by setting the num_hypotheses parameter in your command. The tool processes your tabular data to output the specified number of testable hypotheses based on your configuration.
Hypogenic works with tabular data formats for data analysis, provided the data is properly configured in the required YAML configuration files. The tool processes the structured data to generate empirical and literature-based hypotheses automatically.
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