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Weiwei-Mao
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scientific-visualization

Generate publication-ready scientific figures with Matplotlib and Seaborn.

2|Updated Feb 2, 2026
Search Tags:#data visualization#visualization#matplotlib#seaborn#publication#scientific figures
One-click install
npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill scientific-visualization-weiwei-mao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-visualization
Source: https://github.com/Weiwei-Mao/hydrology-skills/tree/main/hydrology-skills/scientific-visualization
Command: npx skills add https://github.com/Weiwei-Mao/hydrology-skills --skill scientific-visualization-weiwei-mao

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation of publication-quality figures, ensuring they meet the rigorous standards required for scientific journals and are accessible to all readers.

Core Features & Use Cases

  • Publication-Ready Figures: Generate figures with correct resolution, file formats, and dimensions suitable for journals like Nature, Science, and Cell.
  • Colorblind Accessibility: Utilizes colorblind-friendly palettes and provides guidance for accessible color choices.
  • Multi-Panel Layouts: Orchestrates complex multi-panel figures with consistent styling and clear labeling.
  • Use Case: Preparing a set of figures for a manuscript submission, ensuring each plot adheres to journal specifications for size, resolution, color, and typography.

Quick Start

Use the scientific-visualization skill to create a publication-quality line plot with error bars and save it as a PDF.

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?▼

This Skill creates publication-ready scientific figures using Python's Matplotlib and Seaborn libraries. It formats outputs to meet strict journal requirements for resolution, file format, colorblind accessibility, and typography, supporting line plots, bar charts, heatmaps, and scatter plots with regression.

Can I generate multi-panel layouts for journal submission?▼

Yes, you can generate multi-panel layouts for journal submission. This Skill orchestrates complex multi-panel figures with consistent styling and clear labeling, ensuring the final output adheres to manuscript specifications across various scientific disciplines.

What is the best way to ensure my data visualization uses colorblind-friendly palettes?▼

To ensure data visualization uses colorblind-friendly palettes, apply this Skill's built-in accessibility features. It automatically utilizes colorblind-friendly palettes and provides guidance for accessible color choices in your scientific figures.

Does this Skill prepare seaborn scatter plots with regression for journal specifications?▼

Yes, this Skill prepares seaborn scatter plots with regression for journal specifications. It solves the problem of formatting these scientific plots to meet strict requirements for resolution, file format, and typography suitable for manuscript submission.

When do I need to format scientific figures for Nature, Science, or Cell?▼

You need to format scientific figures for Nature, Science, or Cell when preparing a manuscript for submission. This Skill streamlines the creation of figures with correct resolution, file formats, and dimensions specifically suitable for these rigorous scientific journals.

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