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Matplotlib Data Visualization Skill

Help agents generate publication-quality matplotlib and seaborn charts from a one-line prompt — colorblind-accessible, despined, annotation-rich figures.

by tvhahnPublished Jul 29, 2026Updated Jul 29, 2026
DataAgent skill
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What does this skill do?

The Matplotlib skill lets an agent generate professional data visualizations from a simple prompt, applying opinionated design templates and palettes automatically and saving publication-ready PDF and PNG files.

It ships nine pre-built chart patterns — from horizontal bars and time series to violin plots, heatmaps, multi-panel grids, and PR/ROC curves — and picks an appropriate type for the request.

Its design philosophy is data-forward: prioritize data visibility, prefer position over color, remove chart junk, and annotate insights rather than just axes.

  • Generates charts from a one-line prompt

  • Includes nine ready-made chart patterns

  • Uses colorblind-accessible cubehelix and ColorBrewer palettes

  • Saves despined, annotation-rich figures as PDF and PNG

How it works

1

Describe the chart

The agent takes a one-line prompt describing the data and the comparison to show.

2

Select a pattern

It picks an appropriate chart type from the nine patterns and applies the matching design template.

3

Apply the design system

It uses colorblind-accessible palettes, despined minimal-ink styling, value labels, and insight annotations.

4

Save the figures

It saves publication-ready output as PDF and PNG to a figures directory.

Best use cases for this skill

  • Quick charts: Turn a one-line prompt into a polished figure.

  • Publication figures: Produce despined, annotation-rich charts for reports.

  • Distribution comparisons: Use violin, heatmap, or multi-panel patterns.

  • Model evaluation: Plot PR and ROC curves for classification results.

Frequently asked questions

What does the Matplotlib skill do?

It generates publication-quality matplotlib and seaborn charts from a one-line prompt — colorblind-accessible, despined, annotation-rich figures saved as PDF and PNG.

When should an agent use it?

Use it whenever you need a clean, publication-ready chart quickly, from category comparisons to time series, distributions, heatmaps, and classification curves.

Is it accessible?

Yes. It uses colorblind-accessible palettes such as cubehelix and ColorBrewer and encodes meaning through multiple channels, not color alone.

What formats does it output?

It saves figures as both PDF and PNG to a figures directory.

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Use from source

Ask your Buda agent to install this community skill.

Copy this prompt into your own Buda agent. It includes the source repository and install command so the agent can complete the setup in natural language.

Prompt to send to your Buda agent
Please install the "Matplotlib Data Visualization Skill" skill into this Buda agent.

Source repository: https://github.com/tvhahn/matplotlib-skill
Install command: npx skills add tvhahn/matplotlib-skill -y -a universal

Please run the install command, verify the skill is available, and tell me any setup notes or follow-up steps from the source repository.
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Install workflow

  1. 1Copy the prompt
  2. 2Send it to your Buda agent
  3. 3Done

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