| name | creating-data-visualizations |
| description | 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Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
|
| allowed-tools | Read, Write, Edit, Grep, Glob, Bash(cmd:*) |
| version | 1.0.0 |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| license | MIT |
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-schematics or markdown-mermaid-writing
- Full research-report ownership: use
scientific-reporting
Integration
- Pair with
exploratory-data-analysis before plotting questionable data
- Hand off to
scientific-visualization if 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"
