scientific-schematics

Generate publication-quality scientific diagrams with Nano Banana Pro and Gemini 3 Pro review.

4|1|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill scientific-schematics-aravindan20
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/claude-scientific-writer/.claude/skills/scientific-schematics
Command: npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill scientific-schematics-aravindan20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the creation of publication-quality scientific diagrams by combining Nano Banana Pro AI with Gemini 3 Pro quality review, transforming natural language prompts into polished visuals without coding or templates.

Core Features & Use Cases

  • Smart iterative refinement: generate, review, and re-prompt until the diagram meets document-type thresholds.
  • Document-type aware quality: supports journal, conference, poster, presentation, and more with explicit thresholds.
  • Reusable diagrams: outputs are stored as versioned images in figures/ and accompanied by a detailed review log; supports neural networks, system diagrams, flowcharts, biological pathways, and other scientific visuals.

Quick Start

Describe your diagram in natural language and run the AI schematic generator to produce a publication-ready figure.

Frequently Asked Questions about scientific-schematics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate publication-quality scientific diagrams from text prompts?

Publication-quality scientific diagrams are generated by submitting natural language prompts that the AI converts into polished neural networks, flowcharts, and system diagrams without requiring coding or templates.

What is the best way to automate iterative refinement for scientific visualization?

Automated iterative refinement for scientific visualization works by generating a diagram, running an AI quality review, and re-prompting until the output meets explicit thresholds set for specific document types like journals or posters.

Can I use natural language prompts to create neural network diagrams for journals?

Yes, natural language prompts can create neural network diagrams specifically tuned for journal publications by applying document-type aware quality thresholds to drive smart iteration and ensure compliance.

Does the AI schematic generator store versioned figures and review logs?

The AI schematic generator stores outputs as versioned images in a figures directory and accompanies them with a detailed review log, ensuring reproducible outputs and structured generation tracking.

What types of scientific schematics can I produce without using templates?

Without using templates, you can produce scientific schematics including neural networks, system diagrams, flowcharts, and biological pathways, transforming text descriptions directly into structured visual outputs.

How do quality reviews work for AI-generated flowcharts and system diagrams?

Quality reviews for AI-generated flowcharts and system diagrams work by applying document-type thresholds to evaluate the generated figure, driving smart iteration through automated re-prompting until standards are met.