domains / families / science / scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations. Generates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.7 Flash for quality review. Refines when the review requests improvement, with at most two generations. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
The four copies describe the same generate-review-refine loop for scientific diagrams, but they disagree on the underlying models, the stopping rule, and the available CLI parameters. K-Dense-AI/scientific-agent-skills is the most complete and current (Nano Banana 2 + Gemini 3.7 Flash, max 2 iterations, explicit review-failure handling, data-leaves-machine warning, raster-only output caveat). foryourhealth111-pixel/Vibe-Skills and FreedomIntelligence/OpenClaw-Medical-Skills are older variants (Nano Banana Pro / Nano Banana 2 with Gemini 3 Pro / Gemini 3.1 Pro Preview) that omit the max-iteration cap and the review-error contract. aipoch/medical-research-skills diverges further: it names a code-capable LLM generator (default google/gemini-2.0-flash-001) with separate --generator and --reviewer overrides, requires pillow and matplotlib, and only documents journal/poster doc-types. Because each copy carries material steps or constraints the others lack, crowning one would hide real alternatives.