scientific-publication-figures

Generate publication-quality multi-panel figures with matplotlib/seaborn and export to PNG, SVG, or PDF.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-publication-figures
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-publication-figures
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-publication-figures
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-publication-figures

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the creation of publication-quality figures for scientific manuscripts by providing standardized matplotlib/seaborn styles, ensuring consistent fonts, colors, and panel layouts across figures.

Core Features & Use Cases

  • Publication-style rcParams and font settings to produce high-quality visuals aligned with top-tier journals.
  • Predefined color palettes and multi-panel templates to accelerate figure generation.
  • Use Case: quickly generate a 2-3 panel figure with consistent styling and export options (PNG/SVG/PDF) for manuscript submission.

Quick Start

Apply the publication-style settings and color palettes to generate high-quality, multi-panel figures for your manuscript.

Frequently Asked Questions about scientific-publication-figures

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

FAQPage Schema
How do I create publication-quality figures for scientific manuscripts using matplotlib?

Publication-quality figures are generated using predefined matplotlib and seaborn styles that enforce consistent fonts, color palettes, and rcParams for top-tier scientific journals.

Can I export multi-panel figures to PNG, SVG, and PDF at 300 DPI?

Yes, multi-panel figures can be exported directly to PNG, SVG, or PDF formats at 300 DPI using enforced figure-saving parameters for manuscript submission readiness.

What is the best way to ensure consistent styling across multiple scientific figures?

Consistent styling across scientific figures is achieved by applying predefined publication-style rcParams and color palettes, ensuring uniform font settings and panel layouts across all visuals.

Does this approach require predefined color palettes for multi-panel figure layouts?

Yes, predefined color palettes and multi-panel templates are utilized to accelerate figure generation while maintaining visual consistency across complex scientific manuscript layouts.

Are reusable templates available for generating multi-panel scientific figures?

Reusable templates and example workflows are provided to quickly generate 2-3 panel figures with consistent styling and export options tailored for scientific manuscript submission.