creating-data-visualizations
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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.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"
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Commit
ddcaa2a
- Last updated
- First committed
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.