What problem does it solve?
Publishing clear scientific diagrams is time-consuming and error-prone; this skill automates diagram generation from natural language descriptions, delivering publication-quality visuals with consistent typography and layout.
Core Features & Use Cases
- AI-driven diagram generation from natural language descriptions for neural networks, biological pathways, circuit schematics, data flows, and system diagrams
- Smart iterative refinement with Gemini 3.1 Pro Preview quality review that regenerates only when the quality threshold is not met
- Publication-ready outputs with versioned images and a review log, suitable for journals, conferences, theses, posters, and presentations
- Seamless integration via an OpenRouter API, with best-practices prompts and support materials to align diagrams with scientific standards
- References and learning resources to reinforce best practices in scientific visualization
Quick Start
Describe your diagram in natural language and run the generator to produce publication-ready figures with iterative quality review.