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figure-composer

Generate multi-panel scientific figures from data using a structured outline.

Updated Aug 27, 2026
Search Tags:#data visualization#research automation#scientific publishing#figure composition#multi-panel figures
One-click install
npx skills add https://github.com/guanxiaol/open-science --skill figure-composer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: figure-composer
Source: https://github.com/guanxiaol/open-science/tree/main/runtime/skills/figure-composer
Command: npx skills add https://github.com/guanxiaol/open-science --skill figure-composer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of creating high-quality, multi-panel figures for scientific papers, reducing the need for manual graphic design and ensuring consistency and accuracy.

Core Features & Use Cases

  • Automated Figure Composition: Combines data and visual elements into publication-grade figures.
  • Customizable Layouts: Supports various layouts and grid structures for different types of figures.
  • Adversarial Review Loop: Includes a two-tier review process to ensure figure quality.

Quick Start

To use the figure-composer skill, first specify the claim and data references for your figure. Then, run the command 'figure-composer compose_figure --claim "Your claim" --data "path_to_data.csv" --width_mm 180' to generate the figure.

Frequently Asked Questions about figure-composer

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

FAQPage Schema
How do I create multi-panel figures for scientific publishing from raw data?▼

Multi-panel figures for scientific publishing can be automated using a structured outline that combines your input data and visual elements into a publication-grade layout.

What is the best way to ensure quality when generating multi-panel figures for research papers?▼

The best way to ensure quality in figure composition is using an adversarial review loop, which provides a two-tier review process to check visual consistency and accuracy.

How do I automate scientific figure composition with specific width requirements?▼

You can automate scientific figure composition by specifying your claim, data path, and exact width in millimeters, allowing the system to generate images formatted for publication grids.

Can I customize the layout structure for multi-panel scientific figures?▼

Yes, figure composition supports customizable layouts and various grid structures, allowing you to arrange multi-panel figures according to specific scientific publishing requirements.

Do I need external dependencies to generate publication-grade figures from data?▼

No external dependencies are required to generate publication-grade figures, as the system processes input data and claims directly to produce the final visual output.

Why does automated figure composition require a structured outline and claim?▼

Automated figure composition requires a structured outline and claim to accurately map data references to visual elements, ensuring the generated panels directly support the research narrative.

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