Seaborn helps you make beautiful statistical charts in Python. You can easily create scatter plots, box plots, heatmaps, and more. It turns your data into clear, publication-quality graphics with just a few lines of code.
You work directly with your data tables. The library automatically picks colors and styles for you. It even adds statistical details like averages and confidence intervals. This makes it great for exploring your data and presenting your findings.
Global
mkdir -p ~/.claude/skills/seabornProject
mkdir -p .claude/skills/seabornSource 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