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.