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scientific-visualization

Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.
Category: visualization-and-presentation · License: MIT · Version: 1.2

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Install

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When to use it

Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.

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Full playbook

Read SKILL.md for the complete workflow, references and any scripts. The agent installer copies the full skill folder.