scientific-visualization

Create publication-quality scientific figures with matplotlib, seaborn, and plotly.

Updated Dec 17, 2025

Search Tags:#plotly #matplotlib #publication figures #seaborn #scientific visualization #colorblind accessibility

Ready to run

npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill scientific-visualization-robotlearning123

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-visualization
Source: https://github.com/robotlearning123/claude-scientific-skills/tree/main/scientific-skills/scientific-visualization
Command: npx skills add https://github.com/robotlearning123/claude-scientific-skills --skill scientific-visualization-robotlearning123

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables the creation of publication-quality scientific figures, ensuring clarity, accuracy, and accessibility for journal submission.

Core Features & Use Cases

Publication-Quality: Generate figures with consistent styles, colorblind-friendly palettes, and proper labeling for journal submission.
Multi-Panel Layouts: Create multi-panel figures with consistent styling and alignment.
Colorblind Accessibility: Utilize colorblind-friendly palettes and grayscale compatibility for accessibility.
Export Options: Export figures in PDF, EPS, and PNG formats with high resolution and appropriate file sizes.

Quick Start

Run the following command to create a publication-quality line plot:

use scientific-visualization
create-line-plot data.csv --xlabel "Time (seconds)" --ylabel "Amplitude (mV)" --title "Signal Analysis"

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-quality scientific figures with matplotlib and seaborn?▼

You create publication-quality scientific figures by using matplotlib, seaborn, and plotly to generate plots with consistent styles, proper labeling, and colorblind-friendly palettes optimized for journal submission.

Can I generate multi-panel layouts for scientific visualization?▼

Yes, you can generate multi-panel layouts for scientific visualization. The Skill creates multi-panel figures with consistent styling and alignment suitable for complex publication requirements.

How do I export scientific figures in PDF, EPS, and PNG formats?▼

You export scientific figures in PDF, EPS, and PNG formats using the Skill's built-in export options, which ensure high resolution and appropriate file sizes for journal submission.

Does this Skill support colorblind accessibility for publication figures?▼

Yes, this Skill supports colorblind accessibility for publication figures by utilizing colorblind-friendly palettes and ensuring grayscale compatibility across all generated scientific visualizations.

Do I need matplotlib, seaborn, and plotly installed to create scientific plots?▼

Yes, you need matplotlib, seaborn, and plotly installed as dependencies. These three libraries are required to handle the data visualization tasks including line plots, bar plots, and heatmaps.