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scientific-schematics

Generate publication-quality scientific diagrams from natural-language prompts.

1|Updated Apr 8, 2026
Search Tags:#diagram#ai-generation#publication-quality#color-accessibility#iterative-refinement#scientific-visualization
One-click install
npx skills add https://github.com/brainworkup/skills --skill scientific-schematics-brainworkup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/brainworkup/skills/tree/main/neuropsych-reports/references/luria-related-complement-skills/scientific-schematics
Command: npx skills add https://github.com/brainworkup/skills --skill scientific-schematics-brainworkup

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the creation of publication-quality scientific diagrams from natural-language prompts, eliminating the tedious drafting and formatting toil.

Core Features & Use Cases

  • AI-driven diagram generation for neural networks, system architectures, biological pathways, and other complex scientific visuals.
  • Smart iterative refinement with Gemini 3.1 Pro Preview to ensure publication-ready outputs.
  • Document-type thresholds that govern regeneration, guaranteeing outputs match journal standards or presentation needs.

Quick Start

Describe your diagram in natural language to generate a publication-ready schematic.

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 natural language?▼

You can generate publication-quality scientific diagrams by providing natural-language prompts describing your visualization. The AI automates drafting and formatting to produce outputs ready for journals or presentations.

Can I create biological pathways and neural network architectures using AI?▼

Yes, AI-driven diagram generation supports neural networks, system architectures, biological pathways, and other complex scientific visuals from your text descriptions.

How does iterative refinement work for scientific visualization?▼

Iterative refinement uses Gemini 3.1 Pro Preview to review AI-generated scientific visualizations. It enforces document-type thresholds and regenerates diagrams only when quality falls below target standards.

What's the best way to ensure my AI-generated diagrams meet journal standards?▼

The tool applies document-type thresholds governing regeneration to guarantee outputs match journal standards. Gemini 3.1 Pro Preview reviews quality, ensuring publication-ready schematics automatically.

Does this scientific visualization tool support color accessibility?▼

Yes, color-accessibility is enforced during the AI-generation process. The iterative refinement ensures complex scientific visualizations meet accessibility standards required for publication.

What are the limitations of using Nano Banana 2 for scientific schematics?▼

Nano Banana 2 AI generates the initial scientific schematics, but relies on Gemini 3.1 Pro Preview for quality review. If outputs fall below document-type thresholds, it regenerates to meet publication needs.

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