Scientists and researchers can now use AI to automatically create and test hypotheses from their data. This tool combines insights from research papers with patterns found in your datasets. It helps you explore ideas faster and find new discoveries.
You can generate many testable hypotheses in minutes. The system refines them based on how well they perform. It works with both online AI models and local ones.
This approach has shown big improvements over traditional methods. It saves time and reveals insights you might miss. It is useful for fields like deception detection, content analysis, and mental health research.
Global
mkdir -p ~/.claude/skills/hypogenicProject
mkdir -p .claude/skills/hypogenicSource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning