scientific-visualization

Create publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.

Updated Aug 23, 2026

Search Tags:#visualization #matplotlib #seaborn #publication #colorblind

One-click install

npx skills add https://github.com/merllinsbeard/ai-claude-skills-collection --skill scientific-visualization-merllinsbeard

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: scientific-visualization
Source: https://github.com/merllinsbeard/ai-claude-skills-collection/tree/main/scientific/scientific-visualization
Command: npx skills add https://github.com/merllinsbeard/ai-claude-skills-collection --skill scientific-visualization-merllinsbeard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, seaborn, plotly, pandas, numpy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps scientists craft publication-ready figures using Matplotlib/Seaborn/Plotly, with multi-panel layouts, colorblind-safe palettes, proper typography, and export options for journals.

Core Features & Use Cases

Multi-panel figure layouts with consistent styling
Colorblind-friendly palettes and grayscale testing
Error bars, significance markers, and clear legends
Export in PDF/EPS/TIFF/PNG with high DPI for journals

Quick Start

Design a simple publication-ready line plot and export as PDF using provided templates and styles.