paper-illustration

Generate publication-quality academic diagrams from user briefs.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill paper-illustration-wenwen555
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-illustration
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/paper-illustration
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill paper-illustration-wenwen555

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? Paper-Illustration enables researchers and students to generate publication-quality diagrams for academic papers using a multi-stage Claude-Gemini workflow, ensuring professional visuals and reproducible processes.

## Core Features & Use Cases

  • Multi-stage workflow: Claude planning, Gemini layout optimization, Gemini style verification, and Paperbanana rendering.
  • Supports architecture diagrams, method illustrations, and conceptual figures suitable for CVPR/NeurIPS submissions.
  • Use Case: Create a clear, publication-ready figure to accompany a new algorithm description.

### Quick Start Provide a detailed natural-language request describing the desired figure and the workflow will generate a finalized diagram following CVPR/NeurIPS style guidelines.

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-ready academic figures for a CVPR or NeurIPS paper?

Generate publication-ready academic figures by providing a detailed natural-language request describing the desired diagram. The workflow applies strict visual guidelines and multi-stage rendering to produce reproducible architecture diagrams and method illustrations.

What is the best way to create reproducible architecture diagrams from text descriptions?

Creating reproducible architecture diagrams from text descriptions requires a multi-stage workflow involving Claude planning, Gemini layout optimization, and style verification. This process ensures strict visual standards and clearly defined reproducible outputs for academic papers.

Can I iteratively refine conceptual figures to meet strict academic visual standards?

Iteratively refine conceptual figures by applying the multi-stage workflow's style verification and layout optimization. This process ensures conceptual figures meet the strict visual guidelines required for publication-ready academic submissions.

Does this academic figure generation workflow support reproducible layout and style outputs?

This academic figure generation workflow supports reproducible outputs by defining layout, style, and final images strictly during the Gemini verification and rendering stages. This ensures consistent visual standards across multiple generation cycles.

How does the multi-stage Claude and Gemini workflow function for generating method illustrations?

The multi-stage workflow functions by using Claude for initial planning, followed by Gemini for layout optimization and style verification, and finally rendering the method illustration. This structured process ensures professional visual quality for academic papers.