paper-illustration

Plan, verify, and render publication-quality AI illustrations for academic papers.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill paper-illustration-dz306271098
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-illustration
Source: https://github.com/dz306271098/ARIS_for_Robotics/tree/main/skills/paper-illustration
Command: npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill paper-illustration-dz306271098

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate publication-quality AI illustrations for academic papers using a Claude-supervised multi-stage workflow.

Core Features & Use Cases

  • Multi-stage illustration generation with Claude planning, Gemini layout optimization, and Paperbanana rendering.
  • CVPR/NeurIPS-compliant visuals including layout, color, and typography guidelines.
  • Use case: create architecture diagrams, method illustrations, or conceptual figures for manuscripts.

Quick Start

Describe your required figure and let the system plan, optimize layout, verify style, render, and deliver a publication-ready diagram.

Frequently Asked Questions about paper-illustration

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

FAQPage Schema
How do I generate publication-quality AI illustrations for academic papers?▼

To generate publication-quality AI illustrations, you describe your required figure and a multi-stage workflow plans, optimizes layout, verifies style, and renders a publication-ready diagram for academic papers.

Can I create CVPR or NeurIPS compliant architecture diagrams automatically?▼

Yes, you can create CVPR or NeurIPS compliant architecture diagrams automatically by applying built-in layout, color, and typography guidelines to ensure your method illustrations meet manuscript standards.

What is the best way to plan and render conceptual figures for manuscripts?▼

The best way to plan and render conceptual figures is using a supervised multi-stage workflow that coordinates model orchestration, layout optimization, and AI rendering to deliver publication-ready output.

Do I need to manually adjust layout optimization for method illustrations?▼

You do not need to manually adjust layout optimization for method illustrations because the system automatically applies layout optimization during the rendering process to satisfy publication-ready output requirements.

How does the multi-stage workflow handle end-to-end generation of concept figures?▼

The multi-stage workflow handles end-to-end generation of concept figures by coordinating planning, verifying style compliance, and rendering visual components to produce publication-ready output.