paper-illustration

Generate publication-quality diagrams for academic papers using Codex and Paperbanana.

Updated May 22, 2026
One-click install
npx skills add https://github.com/Leo1349/autoresearch --skill paper-illustration-leo1349
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-illustration
Source: https://github.com/Leo1349/autoresearch/tree/main/skills/paper-illustration
Command: npx skills add https://github.com/Leo1349/autoresearch --skill paper-illustration-leo1349

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codex, paperbanana, gemini, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating visually appealing and technically accurate illustrations for academic papers, using AI and a multi-step refinement process.

Core Features & Use Cases

  • Publication-Quality Illustrations: Generates diagrams and illustrations that meet the standards of top-tier conferences like CVPR and NeurIPS.
  • Multi-Stage Workflow: Utilizes Codex for planning and Paperbanana for rendering, ensuring high-quality output.
  • Use Case: Ideal for researchers and academics who need to create diagrams for their papers but lack the graphic design skills or time to do so manually.

Quick Start

Generate a diagram for your paper by using the paper-illustration skill with the prompt "Create a diagram of the neural network architecture for my research paper".

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 academic diagrams for a research paper?

To generate publication-quality academic diagrams, this Skill uses a multi-stage workflow where Codex plans the layout and Paperbanana renders the visual. It produces neural network illustrations tailored for academic papers.

Can I create CVPR style AI illustrations for neural network architectures?

Yes, you can create CVPR style AI illustrations. The workflow supports CVPR and NeurIPS style guidelines to ensure your neural network architecture diagrams meet top-tier academic conference standards.

Do I need Gemini to optimize the layout of academic diagrams?

Yes, Gemini is required to optimize the layout and verify the style of your academic diagrams. It works alongside Codex and Paperbanana to ensure the final research paper illustration meets publication standards.

What is the best way to automate academic diagram creation for AI research papers?

The best way to automate academic diagram creation is using a multi-stage AI workflow. Codex handles the structural planning while Paperbanana handles the rendering, bypassing manual graphic design for your research paper.

Does the Paperbanana rendering workflow support complex neural network diagrams?

Yes, the Paperbanana rendering workflow supports complex neural network diagrams. By combining Codex for planning and Gemini for layout optimization, it systematically refines technical illustrations for academic papers.