Where are the generated files saved?

All diagrams are stored in the figures/ subfolder of your project, accompanied by a detailed JSON review log containing quality scores and critiques.

How does the quality review system work?

The skill uses Gemini 3 Pro to evaluate diagrams against specific thresholds (e.g., 8.5/10 for journals). If a diagram falls below the threshold, the AI automatically refines the prompt and regenerates the image.

Do I need manual drawing skills to use this?

No manual drawing is required. You simply describe the components, flow, and labels in natural language, and the AI handles the layout and composition.

Can I customize the quality level for different uses?

Yes, you can specify the document type (such as 'journal', 'poster', or 'presentation') to adjust the quality threshold and processing speed.

What types of scientific diagrams are supported?

It supports a wide range of visualizations including neural network architectures, biological pathways, system flowcharts, circuit diagrams, and block diagrams.

Scientific Schematics & Diagrams

Name: Scientific Schematics & Diagrams
Author: fabioeducacross

byfabioeducacross

0•

Ciencia de Datos y ML

Generates publication-quality scientific diagrams and technical visualizations using AI-powered quality review and iterative refinement.

Scientific Schematics & Diagrams simplifies the creation of complex visual research assets, ranging from neural network architectures to biological pathways. By combining Nano Banana Pro AI for image generation with Gemini 3 Pro for rigorous quality assessment, this skill ensures every figure meets specific academic standards for journals, conferences, or posters. Users can transform natural language descriptions into professional-grade schematics without manual drawing, benefiting from an automated workflow that adheres to scientific best practices like colorblind-friendly palettes and high-contrast typography.

Características Principales

01Automated generation of neural networks, pathways, and system architectures

02Dual-model workflow using Gemini 3 Pro for objective quality scoring

030 GitHub stars

04Publication-ready outputs with standardized scientific visual guidelines

05Smart iterative refinement to improve diagrams based on AI critique

06Document-specific quality thresholds for journals, posters, and presentations

Casos de Uso

01Visualizing deep learning models and Transformer architectures for research papers

02Designing complex biological signaling cascades and molecular interaction maps

03Creating CONSORT or PRISMA methodology flowcharts for clinical studies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fabioeducacross/designsystem-vuexy scientific-schematics

For use in Claude.ai and ChatGPT

Download Skill