scientific-schematics

Generate publication-ready scientific schematics from natural language prompts.

321|26|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/mkurman/tamux --skill scientific-schematics-mkurman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/scientific-schematics
Command: npx skills add https://github.com/mkurman/tamux --skill scientific-schematics-mkurman

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables researchers to transform complex scientific concepts into clear, publication-ready diagrams automatically, reducing manual drafting time and ensuring consistency across figures.

Core Features & Use Cases

  • Iterative refinement: Generate diagrams with automatic quality reviews and smart prompt improvements until publication-ready.
  • Wide diagram support: Suitable for neural network architectures, biological pathways, system architectures, and experimental workflows.
  • Publication-ready outputs: Produces high-quality figures ready for LaTeX, journals, or presentations.

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-ready scientific diagrams from natural language?

You can generate publication-ready scientific diagrams by providing natural language prompts to describe your schematic. The Skill creates figures suitable for neural network architectures or biological pathways and refines them through an automatic AI review loop.

What types of scientific schematics can I create from text descriptions?

You can create scientific schematics for neural network architectures, biological pathways, system architectures, flowcharts, and engineering schematics. The tool transforms text descriptions into visual outputs suitable for journals and LaTeX documents.

How does iterative refinement work for improving generated scientific figures?

Iterative refinement uses a smart loop with Gemini 3.1 Pro Preview-based critique to automatically review generated scientific figures. It applies strict quality thresholds by document type and decides whether to regenerate the schematic until it is publication-ready.

Do I need any specific dependencies to run this scientific visualization tool?

You need the requests dependency installed to use this scientific visualization tool. The Skill uses this library to handle the API interactions required for its AI-assisted diagram generation and critique processes.

Can I use these generated diagrams directly in LaTeX or academic journal submissions?

Yes, you can use the generated diagrams directly in LaTeX or academic journal submissions. The Skill produces high-quality, publication-ready outputs specifically designed to meet the consistency and formatting standards of scientific publications.