Creating Data Visualizations
Create analytical charts and plots from existing data.
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill creating-data-visualizations -g -a claude-code -y- Repository
- foryourhealth111-pixel/Vibe-Skills3.8k
- Category
- Data and ML
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 299 tokens
- Runs scripts
- Yes, review before use
What it does
Create analytical charts and plots from existing data. Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
Data Visualization Creator
Use this skill when the user needs a chart from data that already exists.
Overview
This skill focuses on everyday analytical visualization choices: bars, lines, scatters, distributions, comparisons, and simple dashboards.
When to Use This Skill
- Plotting trends, distributions, comparisons, or correlations from structured data
- Turning query output or CSV tables into charts for analysis or slides
- Choosing a sensible chart type and axis treatment for a non-specialist audience
Not For / Boundaries
- Journal-ready figures, multi-panel publication layouts, TIFF/600dpi exports: use
scientific-visualization - Structural diagrams, flowcharts, and mechanism illustrations: use
scientific-schematicsormarkdown-mermaid-writing - Full research-report ownership: use
scientific-reporting
Integration
- Pair with
exploratory-data-analysisbefore plotting questionable data - Hand off to
scientific-visualizationif the chart must meet publication standards
Example Requests
- "Plot monthly conversion rate with a confidence band"
- "Make a scatter plot of latency vs throughput"
- "Turn this CSV summary into a small dashboard"
