Do I need to write code to create a diagram?

No, you can describe your diagram in natural language, such as 'Transformer encoder-decoder architecture with multi-head attention,' and the AI handles the layout, labeling, and rendering automatically.

What document types are supported for quality thresholds?

It includes pre-set thresholds for journals (8.5/10), conference papers (8.0), theses, grant proposals, preprints, reports, posters (7.0), and presentations (6.5).

Where are the generated diagrams stored?

All diagrams are automatically saved in the figures/ subfolder of your local repository, making them easy to reference in LaTeX files, Markdown papers, or slide decks.

How does the quality review system work?

The skill uses Gemini 3 Pro to evaluate generated diagrams against 10-point criteria including scientific accuracy, clarity, and label quality. If a score falls below the set threshold for your document type, it automatically triggers a refined regeneration.

Scientific Schematics

Name: Scientific Schematics
Author: pur3v4d3r

bypur3v4d3r

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Data Science & ML

Generates publication-quality scientific diagrams and neural network architectures with AI-powered quality review.

About

Scientific Schematics automates the creation of complex visual representations for academic and technical publications. By leveraging Nano Banana Pro AI for image generation and Gemini 3 Pro for rigorous quality assessment, the skill produces professional-grade flowcharts, biological pathways, and system architectures. It features a unique smart iteration system that evaluates diagrams against specific document thresholds—such as Nature-level journals or conference posters—ensuring the output meets high scientific standards without manual refinement. This tool is ideal for researchers, data scientists, and engineers who need to transform technical concepts into visual assets ready for peer review or presentations.

Key Features

Automated quality review using Gemini 3 Pro against document-type thresholds
Smart iterative refinement to improve diagrams until they meet publication standards
AI-powered generation of complex neural network architectures and system diagrams
1 GitHub stars
Support for diverse scientific formats including CONSORT flowcharts and biological pathways
Publication-ready styling including colorblind-friendly palettes and professional typography

Use Cases

Creating standardized participant flow diagrams for clinical studies and methodology sections
Visualizing complex biological signaling pathways or chemical interactions for academic posters
Generating high-resolution architecture diagrams for AI/ML research papers

About

Key Features

Automated quality review using Gemini 3 Pro against document-type thresholds
Smart iterative refinement to improve diagrams until they meet publication standards
AI-powered generation of complex neural network architectures and system diagrams
1 GitHub stars
Support for diverse scientific formats including CONSORT flowcharts and biological pathways
Publication-ready styling including colorblind-friendly palettes and professional typography

Use Cases

Creating standardized participant flow diagrams for clinical studies and methodology sections
Visualizing complex biological signaling pathways or chemical interactions for academic posters
Generating high-resolution architecture diagrams for AI/ML research papers