DATAGEN automates hypothesis generation, data analysis, and report writing. Operations teams use it to accelerate research and decision-making. It connects to Python workflows and supports Claude agents.
git clone https://github.com/starpig1129/DATAGEN.githttps://github.com/starpig1129/DATAGEN/docs/QUICKSTART.md
Automate the generation of research hypotheses based on existing datasets.
Perform complex data analysis using machine learning techniques without manual coding.
Generate dynamic visualizations and reports from data files with a single command.
Conduct literature searches and integrate findings into research reports automatically.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/starpig1129/DATAGENCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a research hypothesis for [COMPANY] in the [INDUSTRY] sector based on the following data: [DATA]. Please provide a detailed analysis and potential implications.
### Hypothesis The implementation of remote work policies at Tech Innovations Inc. will lead to a 20% increase in employee productivity. ### Analysis - **Data Sources**: Internal productivity metrics from Q1 2023, employee satisfaction surveys, and industry benchmarks. - **Key Findings**: - Employee productivity metrics show a consistent upward trend since the introduction of flexible work hours. - Satisfaction surveys indicate a 30% increase in job satisfaction among remote workers compared to in-office workers. ### Implications If the hypothesis holds true, Tech Innovations Inc. may consider permanent remote work options to enhance overall productivity and employee well-being, potentially reducing overhead costs associated with physical office spaces.
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