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figure-composer

Compose publication-quality multi-panel figures from narrative claims and data references.

288|34|Updated Jul 6, 2026
Search Tags:#data visualization#adversarial review#scientific publication#figure composition#multi-panel figure
One-click install
npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill figure-composer-pku-yuangroup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: figure-composer
Source: https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/figure-composer
Command: npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill figure-composer-pku-yuangroup

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of crafting high-quality, multi-panel figures for scientific publications, streamlining the process from concept to completion.

Core Features & Use Cases

  • Figure Composition: Generate publication-grade multi-panel figures from claims and data.
  • Adversarial Review Loop: Incorporates a two-tier review process to ensure figure quality.
  • Customization: Supports various panel roles, chart families, and design rules.
  • Use Case: Ideal for scientists and researchers who need to create visually compelling figures for papers, presentations, and reports.

Quick Start

Use the figure-composer skill to create a figure from the claim 'The effect of temperature on plant growth' and data references 'temp_data.csv' with a target width of 180mm.

Frequently Asked Questions about figure-composer

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

FAQPage Schema
How do I create publication-grade multi-panel figures from raw data?▼

The composition mechanism executes a loop involving outline creation, panel-specific agent execution, adversarial review, and iterative improvement to ensure the final multi-panel figure meets scientific publication standards.

Can I customize chart families and panel roles for scientific publication figures?▼

Yes, you can customize scientific publication figures by specifying various panel roles, chart families, and design rules to ensure the composite visual accurately represents your specific data narrative and publication requirements.

What is the best way to ensure visual quality in multi-panel figure composition?▼

The best way to ensure visual quality in multi-panel figure composition is using a two-tier adversarial review process that iteratively critiques and refines panel rendering and overall composite layout against target design rules.

Does figure composition work with specific data references and target widths?▼

Yes, figure composition works directly with tabular data references and allows you to specify exact target widths, such as 180mm, ensuring the generated multi-panel output fits standard scientific publication column dimensions.

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