foryourhealth111-pixel/creating-data-visualizations
bundled/skills/creating-data-visualizations/SKILL.md
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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
$ install --global
skillsauthnpx skillsauth add foryourhealth111-pixel/vco-skills-codex creating-data-visualizationsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- creating-data-visualizations
- description:
- |
- allowed-tools:
- Read, Write, Edit, Grep, Glob, Bash(cmd:*)
- version:
- 1.0.0
- author:
- Jeremy Longshore <[email protected]>
- 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-schematicsormarkdown-mermaid-writing - Full research-report ownership: use
scientific-reporting
Integration
- Pair with
data-quality-checkerbefore 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"
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