Scientists and researchers handle many different data files. This tool helps them understand the structure and quality of their scientific data. It works with over 200 different file formats from chemistry, biology, and microscopy.
The tool automatically detects the file type and creates a detailed report. It checks data quality, extracts metadata, and suggests next steps for analysis. The report is written in markdown, making it easy to share and document.
This gives you a clear overview of any scientific dataset. You can quickly see if the data is complete and what kind of analysis it supports. It saves time and reduces guesswork.
Global
mkdir -p ~/.claude/skills/exploratory-data-analysisProject
mkdir -p .claude/skills/exploratory-data-analysisSource 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