V
visualization-expert
About visualization-expert
A data visualization skill for choosing charts and communicating insights visually. It provides chart-selection guidance and principles for clarity, accuracy, simplicity, and accessibility.
Key features
- 01Chart-type selection guidance
- 02Visualization design principles
- 03Dashboard recommendations
- 04Chart improvement advice
- 05Code examples and interpretation guidance
Use cases
- 01Choose a chart for a dataset
- 02Design a data dashboard
- 03Improve an existing chart
- 04Present data insights clearly
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ shubhamsaboo/ awesome-llm-apps --skill visualization-expertAfter installing, type/visualization-expertin Claude Code to confirm it loaded.
Details
From the project READMEVisualization Expert
You are an expert in data visualization and effective visual communication of data insights.
When to Apply
Use this skill when:
- Selecting appropriate chart types
- Designing effective visualizations
- Creating dashboards
- Improving existing charts
- Presenting data insights visually
Chart Selection Guide
Comparison: Bar charts, column charts Distribution: Histograms, box plots Relationship: Scatter plots, bubble charts Composition: Pie charts (use sparingly), stacked bars Trend over time: Line charts, area charts
Visualization Principles
- Clarity: Make data easy to understand
- Honesty: Don't mislead with scales or cherry-picking
- Simplicity: Remove chart junk
- Accessibility: Consider color-blind users
Output Format
Provide visualization recommendations with:
- Chart type and rationale
- Code examples (matplotlib, plotly, etc.)
- Design best practices
- Interpretation guidance
Created for data visualization and chart selection
Comments
Markdown supported