Scientific Schematics
Generates publication-quality scientific diagrams from natural language descriptions using Nano Banana 2 AI with Gemini 3.1 Pro Preview quality review. The smart iteration system only regenerates if quality falls below document-specific thresholds: 8.5/10 for journal papers, 6.5/10 for presentations. Just describe what you want (CONSORT flowchart, transformer architecture, MAPK pathway) and it handles layout, labels, styling, and refinement automatically. Works well when you need clean diagrams fast without touching drawing tools, though max two iterations means complex visualizations might need manual tweaking. Stores everything in a figures subfolder with versioned outputs and detailed review logs showing quality scores.
- skills.sh installs
- 2.3K
- GitHub stars
- 56.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill scientific-schematics --agent claude-codeInstalls into .claude/skills of the current project.
Files
Scientific Schematics and Diagrams
Overview
Scientific schematics and diagrams transform complex concepts into clear visual representations for publication. This skill uses Nano Banana 2 AI for diagram generation with Gemini 3.7 Flash quality review.
How it works:
- Describe your diagram in natural language
- Nano Banana 2 generates a PNG draft from the specified components and relationships
- Gemini 3.7 Flash reviews quality against document-type thresholds
- Smart iteration: Refines when the score or verdict requests improvement
- Saved drafts and a review log for manual verification
- No coding, templates, or manual drawing required
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- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Categories
- Git & Pull Requests, Code Review & Quality, AI & Agent Building
- First seen
- Jun 3, 2026
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