Agent skill · data analytics · aiskillstore
data-visualization
Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.
Why this skill is useful
Codifies best practices for data visualization but AI already knows general charting techniques.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Data Visualization Skill This skill provides capabilities for creating data visualizations. Quick Start Using matplotlib for basic charts: Capabilities Chart Types Line charts Bar charts Pie charts Scatter plots Histograms Box plots Heatmaps Libraries Supported Matplotlib (static charts) Seaborn (statistical visualizations) Plotly (interactive charts) Altair (declarative visualization) Advanced Features Multi-axis plots Subplots and grids Custom themes and styling Annotations and labels Export to various formats (PNG, SVG, PDF) Best Practices 1. Choose the right chart type for your data 2. Use clear labels and titles 3. Consider color accessibility 4. Keep visualizations simple and focused 5. Export at appropriate resolution for intended use
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-visualization