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scientific-visualization

Coordinate Matplotlib, Seaborn, and Plotly to generate publication-ready scientific figures.

Updated Apr 14, 2026
Search Tags:#visualization#plotly#matplotlib#seaborn#publication#colorblind#multi-panel
One-click install
npx skills add https://github.com/dotruru/claudemd --skill scientific-visualization-dotruru
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-visualization
Source: https://github.com/dotruru/claudemd/tree/main/skills/scientific-visualization
Command: npx skills add https://github.com/dotruru/claudemd --skill scientific-visualization-dotruru

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Scientific visualization often requires publication-grade figures that comply with diverse journal guidelines, colorblind-friendly palettes, and consistent styling across multiple panels.

Core Features & Use Cases

  • Publication-ready multi-panel figures: Create consistent, journal-ready layouts with proper labeling and spacing.
  • Colorblind-friendly palettes and perceptually uniform colormaps: Ensure accessibility and accurate data interpretation across devices.
  • Journal-specific styling and export utilities: Apply styles for Nature, Science, Cell, and others and export in vector or high-resolution raster formats.
  • Integration with Matplotlib/Seaborn/Plotly workflows: Build figures using familiar libraries with unified styling.

Quick Start

Configure publication styles and export a publication-ready figure using the included scripts.

Frequently Asked Questions about scientific-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-ready scientific figures with Matplotlib and Seaborn?▼

Publication-ready scientific figures are generated by orchestrating Matplotlib, Seaborn, and Plotly with cohesive style presets, enforcing typography standards and consistent panel labeling for journal-specific formatting across multi-panel layouts.

Can I apply Nature or Cell journal-specific styling and export requirements to my plots?▼

Yes, journal-specific styling for venues like Nature, Science, and Cell is applied through integrated style presets, enforcing technical requirements for vector exports, high-DPI raster formats, and font embedding to meet publication guidelines.

What is the best way to ensure my multi-panel scientific visualizations are colorblind-friendly?▼

Colorblind-friendly scientific visualizations are ensured by applying perceptually uniform colormaps and accessibility-focused palettes, guaranteeing accurate data interpretation across multi-panel layouts and viewing devices.

Does this scientific plotting workflow support both vector and high-DPI raster exports?▼

Yes, the scientific plotting workflow supports vector and high-DPI raster exports, embedding technical requirements for font embedding and accessibility to produce consistent, journal-ready scientific figures.

How do I standardize typography and panel labeling across multiple scientific figures?▼

Typography standards and panel labeling are standardized across multiple scientific figures by applying cohesive style presets that enforce consistent styling, spacing, and accessibility guidelines throughout research workflows.

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