scientific-schematics

Generate publication-quality scientific diagrams from natural language descriptions.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/m0at/claudemd --skill scientific-schematics-m0at
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/m0at/claudemd/tree/main/skills/scientific-schematics
Command: npx skills add https://github.com/m0at/claudemd --skill scientific-schematics-m0at

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the creation of publication-quality scientific diagrams from natural language descriptions using Nano Banana Pro AI with Gemini 3 Pro quality review to ensure threshold-aligned output.

Core Features & Use Cases

  • Generate publication-ready diagrams for neural network architectures, system diagrams, flowcharts, biological pathways, and other complex scientific visuals directly from natural-language prompts.
  • Smart iterative refinement with document-type aware quality thresholds; if a diagram falls short, it regenerates with improved prompts, providing a detailed review log and critique for traceability.
  • Outputs include versioned figures stored under figures/ and a comprehensive review log; supports API-key configuration and on-demand references/assets for extended workflows.

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 scientific diagrams from natural language for a research paper?

To generate publication-quality scientific diagrams from natural language, you describe your visual needs in plain text. The skill creates figures using AI-assisted generation and applies Gemini 3 Pro quality review to ensure the output meets document-type aware thresholds.

Can I use AI to create publication-quality neural network architecture diagrams?

Yes, you can create publication-quality neural network architecture diagrams by providing a natural language description. The skill automates visual generation and applies iterative refinement if the initial output falls short of quality thresholds.

How does AI-assisted iterative refinement work for scientific visualization?

AI-assisted iterative refinement for scientific visualization works by automatically regenerating diagrams with improved prompts if quality thresholds are not met. A detailed review log and critique are provided for traceability alongside the versioned figures.

Do I need an API key to generate biological pathway flowcharts with this tool?

Yes, you need an API key to generate biological pathway flowcharts. The skill supports API-key configuration to access OpenRouter-based generation and Gemini 3 Pro quality review for your scientific visuals.

What is the best way to automate flowchart generation for grant proposals?

The best way to automate flowchart generation for grant proposals is using a skill that enforces document-type aware quality thresholds. It outputs versioned figures and a detailed review log, ensuring complex scientific visuals are publication-ready.

Why does my generated scientific diagram require multiple review iterations?

Your generated scientific diagram requires multiple review iterations because the skill enforces document-type aware quality thresholds. If the initial output falls short, it automatically regenerates with improved prompts to reach publication-quality standards.