How does the quality review work?

The skill uses Gemini 3 Pro to score initial generations against specific standards for your document type (e.g., 8.5/10 for journals) and automatically regenerates if the threshold isn't met.

Where are the generated diagrams stored?

By default, diagrams are saved in the figures/ subfolder of your project, accompanied by a JSON review log containing quality scores and critiques.

What types of diagrams can this skill create?

It specializes in neural network architectures, system diagrams, flowcharts (like CONSORT and PRISMA), biological pathways, and complex scientific visualizations.

Do I need an API key to use this?

Yes, you need an OpenRouter API key to power the Nano Banana Pro and Gemini 3 Pro engines used for generation and review.

Can I specify the visual style of the diagrams?

Absolutely. You can include specific instructions in your natural language prompt regarding layout (e.g., vertical flow), colors, and specific labeling requirements.

Scientific Schematics & Diagrams

Name: Scientific Schematics & Diagrams
Author: K-Dense-AI

byK-Dense-AI

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235

数据科学与机器学习

Generates publication-quality scientific diagrams and schematics with automated quality review and iterative AI refinement.

关于

Scientific Schematics enables researchers and developers to create professional-grade visual representations of complex concepts—from neural network architectures to biological pathways—directly through natural language prompts. By leveraging Nano Banana Pro for generation and Gemini 3 Pro for objective quality assessment, it automates the tedious process of manual diagramming. The skill features a smart iteration system that adjusts its quality threshold based on your target publication type, ensuring that figures meet the rigorous standards of journals while providing faster turnaround for presentations or internal reports.

主要功能

Integrated versioning with detailed review logs and quality scores for every generation.
Smart iterative refinement using Gemini 3 Pro for objective quality evaluation.
Zero-code diagramming for neural network architectures, biological pathways, and flowcharts.
235 GitHub stars
Automated generation of publication-ready scientific visuals using Nano Banana Pro AI.
Targeted quality thresholds for specific document types like journals, conferences, and posters.

使用场景

Generating complex biological signaling pathways or system block diagrams for academic posters.
Visualizing deep learning models and transformer architectures for research papers.
Creating CONSORT or PRISMA flowcharts for clinical and experimental study designs.

关于

主要功能

Integrated versioning with detailed review logs and quality scores for every generation.
Smart iterative refinement using Gemini 3 Pro for objective quality evaluation.
Zero-code diagramming for neural network architectures, biological pathways, and flowcharts.
235 GitHub stars
Automated generation of publication-ready scientific visuals using Nano Banana Pro AI.
Targeted quality thresholds for specific document types like journals, conferences, and posters.

使用场景

Generating complex biological signaling pathways or system block diagrams for academic posters.
Visualizing deep learning models and transformer architectures for research papers.
Creating CONSORT or PRISMA flowcharts for clinical and experimental study designs.