scientific-schematics

Generate publication-ready scientific diagrams from natural language descriptions.

22|4|Updated May 25, 2026
One-click install
npx skills add https://github.com/crazymsn/academic-skills --skill scientific-schematics-crazymsn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/scientific-schematics
Command: npx skills add https://github.com/crazymsn/academic-skills --skill scientific-schematics-crazymsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes references (resource) components.

What problem does it solve?

Publishing clear scientific diagrams is time-consuming and error-prone; this skill automates diagram generation from natural language descriptions, delivering publication-quality visuals with consistent typography and layout.

Core Features & Use Cases

  • AI-driven diagram generation from natural language descriptions for neural networks, biological pathways, circuit schematics, data flows, and system diagrams
  • Smart iterative refinement with Gemini 3.1 Pro Preview quality review that regenerates only when the quality threshold is not met
  • Publication-ready outputs with versioned images and a review log, suitable for journals, conferences, theses, posters, and presentations
  • Seamless integration via an OpenRouter API, with best-practices prompts and support materials to align diagrams with scientific standards
  • References and learning resources to reinforce best practices in scientific visualization

Quick Start

Describe your diagram in natural language and run the generator to produce publication-ready figures with iterative quality review.

Frequently Asked Questions about scientific-schematics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate publication-quality scientific diagrams from text descriptions?

You can create publication-quality scientific diagrams by providing natural language descriptions to the AI generator, which produces ready visuals for journals, posters, and presentations.

Can I automatically generate biological pathways and neural network architecture diagrams?

Yes, the AI generator supports creating biological pathways, neural network architectures, circuit schematics, flowcharts, and system diagrams directly from your text descriptions.

How does AI quality review work for scientific visualization outputs?

Quality review uses Gemini 3.1 Pro Preview to evaluate generated scientific visuals against document-type thresholds, automatically regenerating images only when quality standards are not met.

Do I need an OpenRouter API to create publication-ready scientific figures?

Yes, seamless integration requires an OpenRouter API connection to leverage Nano Banana 2 for image generation and Gemini 3.1 Pro Preview for iterative quality review.

What is the best way to ensure consistent typography in scientific diagrams?

Using AI-driven diagram generation from natural language descriptions ensures publication-ready visuals with consistent typography and layout aligned to scientific visualization standards.

Are there limitations when automating diagram generation for theses or conferences?

The automated generator outputs versioned images and a review log suitable for theses and conferences, but complex iterative refinement depends on meeting document-type quality thresholds set by Gemini 3.1 Pro Preview.