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Creating Data Visualizations

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creating-data-visualizations

Creating Data Visualizations is an Agent Skill for documents published in the foryourhealth111-pixel/Vibe-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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 Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/foryourhealth111-pixel/Vibe-Skills/blob/HEAD/bundled/skills/creating-data-visualizations/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/creating-data-visualizations, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

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"