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Generate publication-quality scientific diagrams via AI with iterative quality review and smart regeneration for journal, conference, poster, and presentation o
Generates publication-ready scientific schematics (flowcharts, neural network architectures, biological pathways, circuits, system diagrams) using an AI generation + review loop. The skill leverages Nano Banana Pro for image generation and Gemini 3 Pro for quality scoring, applying smart iteration so images are only regenerated when quality falls below document-type thresholds. Outputs include versioned images and detailed review logs.
Use this skill when you need high-quality figures for papers, posters, presentations, or reports—especially when time-saving automated layout, labeling, and accessibility (colorblind-safe palettes, typography) matter. Good for researchers preparing manuscripts, presenters building figures, and developers automating diagram creation.
Works with agent environments that can call external AI image generation services and shell scripts (Claude Code, CLI-driven agent runtimes, Python-capable agents).
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