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nature-figure

Create and edit Nature-style scientific figures in Python or R.

Updated Jul 1, 2026
Search Tags:#scientific visualization#figure creation#publication preparation#Nature journal#figure editing
One-click install
npx skills add https://github.com/louzhengshuai/seepscientist --skill nature-figure-louzhengshuai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-figure
Source: https://github.com/louzhengshuai/seepscientist/tree/main/src/skills/nature-figure
Command: npx skills add https://github.com/louzhengshuai/seepscientist --skill nature-figure-louzhengshuai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, seaborn, ggplot2, complexheatmap, patchwork, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of publication-quality scientific figures for Nature and other high-impact journals, eliminating the need for manual design and layout.

Core Features & Use Cases

  • Automated Figure Creation: Generate Nature-style figures in Python or R with consistent formatting and color palettes.
  • Figure Editing and QA: Revise, audit, and polish existing figures, ensuring clarity and alignment with journal standards.
  • Use Case: A researcher wants to create a figure for their Nature paper, which includes multi-panel scientific plots and journal-ready SVG/PDF/TIFF outputs. The Skill generates a figure based on the provided data and requirements, adhering to Nature's style guidelines.

Quick Start

Create a Nature-style figure for a research paper by running the following command: use nature-figure create -f python -d 'data.csv' -o 'output.svg'

Frequently Asked Questions about nature-figure

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

FAQPage Schema
How do I create publication-ready scientific figures for Nature journals using Python or R?▼

Automate publication-ready scientific figure creation for Nature journals using Python or R. The Skill applies consistent formatting, color palettes, and journal-specific style guidelines to generate multi-panel scientific plots directly from your data.

How do I export multi-panel scientific plots to SVG, PDF, or TIFF formats for journal submission?▼

Export multi-panel scientific plots to journal-ready SVG, PDF, or TIFF formats using the Skill's automated creation and exporting workflow. It ensures outputs comply with high-impact journal standards for publication preparation.

Can I use matplotlib and seaborn to generate Nature-style figures automatically?▼

Yes, you can use matplotlib and seaborn to generate Nature-style figures automatically. The Skill leverages these Python libraries, alongside R packages like ggplot2, to apply standardized formatting and produce compliant multi-panel visualizations.

What is the best way to audit and revise existing scientific figures for journal compliance?▼

The best way to audit and revise existing scientific figures for journal compliance is using the Skill's figure editing and quality assurance features. It polishes layouts, ensuring clarity and alignment with high-impact journal standards.

Do I need specific dependencies to generate and preview Nature-style scientific figures?▼

Yes, you need specific dependencies to generate and preview Nature-style scientific figures. The Skill requires libraries including matplotlib, seaborn, ggplot2, ComplexHeatmap, and patchwork to process data and output visualizations.

Can I use ggplot2 and ComplexHeatmap for multi-panel scientific plots in Nature-style formatting?▼

Yes, you can use ggplot2 and ComplexHeatmap for multi-panel scientific plots in Nature-style formatting. The Skill integrates these R dependencies to automate complex visualizations and ensure adherence to publication standards.

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