visualization-expert
Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.
Best use case
visualization-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.
Teams using visualization-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/visualization-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How visualization-expert Compares
| Feature / Agent | visualization-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Visualization 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 1. **Clarity**: Make data easy to understand 2. **Honesty**: Don't mislead with scales or cherry-picking 3. **Simplicity**: Remove chart junk 4. **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*
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