scientific-schematics

You can generate publication-ready scientific diagrams by providing a natural-language prompt describing the visual, such as a neural network architecture or flowchart. The skill creates and iteratively refines the image using automated quality review to meet publication standards.

Yes, you can create biological pathways and circuit schematics from natural-language descriptions. The skill supports generating diverse technical visuals, including system schematics and flowcharts, tailored for papers, posters, and slide decks.

To ensure architecture diagrams meet quality thresholds, the skill uses Gemini-based quality review and iterative image refinement. It automatically scores generated images against document-specific standards and only regenerates when necessary.

Yes, the scientific diagram generation process outputs review logs to ensure reproducible figure generation. These logs, combined with accessibility-aware styling and early-stop logic, document the iterative refinement steps taken for each visual.

To make a CONSORT flow diagram for a manuscript, describe the flow diagram layout in a natural-language prompt. The skill processes this description to produce a clean, accessible figure ready for your document.

Iterative image refinement for scientific visualization relies on Gemini-based quality scoring and early-stop logic, meaning generation halts once quality thresholds are met. Complex or highly specific technical visuals may require multiple prompt iterations to achieve the desired output.