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paper-illustration

Generate academic architecture diagrams with CVPR and NeurIPS design standards.

1|Updated Jul 21, 2026
Search Tags:#research#academic#visualization#diagram#illustration#cvpr
One-click install
npx skills add https://github.com/dogekiki/SP-test --skill paper-illustration-dogekiki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-illustration
Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/paper-illustration
Command: npx skills add https://github.com/dogekiki/SP-test --skill paper-illustration-dogekiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, curl.

What problem does it solve?

This skill solves the challenge of creating professional, high-quality academic diagrams that meet the strict visual standards of top-tier conferences like CVPR, ICLR, and NeurIPS.

Core Features & Use Cases

  • Multi-Stage Generation: Employs a rigorous workflow involving Claude for planning and Gemini for layout and style optimization.
  • Strict Quality Control: Features an automated, multi-stage review process that enforces arrow direction, font standards, and color palettes.
  • Use Case: Researchers can generate complex model architecture diagrams or pipeline illustrations that are print-friendly and visually consistent with academic requirements.

Quick Start

Use the paper-illustration skill to generate a professional architecture diagram for a transformer-based encoder-decoder model.

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 CVPR paper?▼

Generate publication-quality academic diagrams by using an automated workflow that enforces strict CVPR and NeurIPS design standards, ensuring arrow accuracy and layout balance through iterative refinement loops.

Can I automatically fix arrow direction and layout balance in model architecture diagrams?▼

Yes, automated multi-stage review processes check arrow direction, font standards, and color palettes, applying iterative refinement loops to fix layout balance and ensure professional aesthetic compliance.

What is the best way to create print-friendly transformer architecture illustrations?▼

Creating print-friendly transformer architecture illustrations is best achieved through a multi-stage AI-supervised workflow that optimizes layout, style, and visual consistency for top-tier academic conferences.

Does the academic illustration generation process require specific technical environments?▼

The academic illustration generation process operates within an environment requiring python3 and curl, facilitating multi-stage AI planning and layout optimization without needing external graphic design software.

Why does my research paper diagram fail visual consistency checks for academic conferences?▼

Research paper diagrams fail visual consistency checks when they lack strict enforcement of CVPR and NeurIPS design standards, which this workflow solves by applying automated quality control over fonts and colors.

Are there limitations when using automated workflows for complex pipeline illustrations?▼

Automated workflows for complex pipeline illustrations require iterative refinement to maintain professional aesthetics, meaning highly intricate architectures may need multiple generation stages to achieve perfect visual consistency.

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