Generate production-ready data visualizations using Python and R plotting libraries.
npx skills add https://github.com/AidenSbVevo/claude-code-starter --skill viz-aidensbvevo
Please help me install this Agent Skill. Skill: viz Source: https://github.com/AidenSbVevo/claude-code-starter/tree/main/skills/viz Command: npx skills add https://github.com/AidenSbVevo/claude-code-starter --skill viz-aidensbvevo
This skill eliminates the guesswork in data visualization by providing a structured framework for creating clear, honest, and professional-grade charts that effectively communicate insights.
Use the viz skill to generate a publication-quality scatter plot from the current dataframe with a trend line and colorblind-safe styling.
High-intent search queries and answers about installing and using this skill.
To create a multi-panel figure, this skill uses matplotlib and seaborn to generate complex layouts with standardized style templates, colorblind-safe palettes, and vector-ready export settings for professional audiences.
Yes, you can use ggplot2 through this skill to create statistical evaluation plots. It applies automated style templates and ensures high-fidelity, accessible output suitable for publication-quality research figures.
The best way to build an interactive dashboard is using this skill's expert-level implementation across Python (plotly, Altair) and R (ggplot2, ComplexHeatmap), ensuring visual consistency and programmatic rendering.
Yes, this data visualization skill enforces production standards by automatically applying colorblind-safe palettes and vector-ready export settings to ensure charts are legible and visually optimized for the target medium.
You automate visual consistency by applying this skill's standardized style templates during programmatic rendering, which eliminates guesswork and ensures all charts maintain professional-grade clarity and accessibility.
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