Creating data visualizations
Skill foryourhealth111-pixel/Vibe-Skills/bundled/skills/creating-data-visualizations
VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.
npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill creating-data-visualizationsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
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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"