paper-illustration

Generate publication-ready AI illustrations for academic papers using a multi-stage Codex-Gemini workflow.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/THUFanZd/Sewed_pipeline --skill paper-illustration-thufanzd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-illustration
Source: https://github.com/THUFanZd/Sewed_pipeline/tree/main/.agents/skills/paper-illustration
Command: npx skills add https://github.com/THUFanZd/Sewed_pipeline --skill paper-illustration-thufanzd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables researchers and designers to generate publication-quality AI illustrations for academic papers, saving time and ensuring consistent visual language across figures.

Core Features & Use Cases

  • Multi-stage figure generation: from initial prompt parsing and layout planning to style verification and final rendering, enabling reproducible results.
  • CVPR/NeurIPS-aligned visuals: adheres to professional standards for architecture diagrams, method illustrations, and conceptual figures.
  • Deterministic rendering & verification: produces reproducible prompts and outputs with strict review steps for quality control.

Quick Start

Generate a CVPR-grade architecture diagram for a neural-network pipeline with clearly labeled data flow and professional visuals.

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 AI illustrations for academic papers?

To generate publication-ready AI illustrations for academic papers, this Skill uses a multi-stage Codex-Gemini workflow covering prompt parsing, layout planning, style verification, and final rendering. It produces reproducible outputs suitable for manuscript pipelines.

Can I create CVPR or NeurIPS-aligned architecture diagrams using AI?

Yes, you can create CVPR or NeurIPS-aligned architecture diagrams, method illustrations, and conceptual figures. The Skill enforces strict visual verification and layout optimization to adhere to professional publication standards.

What is the best way to ensure consistent visual language across academic paper figures?

The best way to ensure consistent visual language across academic paper figures is through deterministic rendering and strict review steps. This Skill generates reusable prompts and performs style verification to maintain visual consistency.

How does the multi-stage workflow handle figure layout optimization and prompt parsing?

The multi-stage workflow handles figure layout optimization and prompt parsing by sequentially processing your input through Codex-Gemini stages. It parses initial prompts, plans the layout, verifies the style, and renders the final deterministic output.

Do I need any external dependencies to produce manuscript pipeline-ready visuals?

No external dependencies are required to produce manuscript pipeline-ready visuals. The Skill operates independently to generate deterministic prompts and render publication-quality figures without needing additional component libraries.

Why are my reproducible AI-generated paper figures not aligning with professional standards?

AI-generated paper figures may not align with professional standards if they lack strict visual verification. This Skill resolves that by applying layout optimization and style checks to produce CVPR/NeurIPS-aligned visuals with reusable prompts.