Data visualization
Skill aiskillstore/marketplace/skills/0xkynz/data-visualization
Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
npx -y skills add aiskillstore/marketplace --skill data-visualizationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
What its author says it does
Copied from the file, not written here
Create charts, graphs, and visualizations from data. Use when the user needs to visualize data, create charts, or generate reports with graphics.
SKILL.md
1.1 KB, as published. Nobody here has run it
Data Visualization Skill
This skill provides capabilities for creating data visualizations.
Quick Start
Using matplotlib for basic charts:
import matplotlib.pyplot as plt
# Simple line chart
plt.plot([1, 2, 3, 4], [1, 4, 2, 3])
plt.title("Sample Chart")
plt.savefig("chart.png")
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
- Choose the right chart type for your data
- Use clear labels and titles
- Consider color accessibility
- Keep visualizations simple and focused
- Export at appropriate resolution for intended use