scientific-schematics

Generate publication-quality scientific diagrams from natural-language descriptions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/must1f/Dissertaion-Project --skill scientific-schematics-must1f
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/must1f/Dissertaion-Project/tree/main/.agents/skills/scientific-schematics
Command: npx skills add https://github.com/must1f/Dissertaion-Project --skill scientific-schematics-must1f

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Converts complex scientific ideas into clear, publication-ready diagrams generated by AI, eliminating the tedious manual drawing and diagramming work.

Core Features & Use Cases

  • Iterative refinement: Generate a schematic, have it reviewed by Gemini 3.1 Pro Preview, and automatically refine until it meets the required quality.
  • Supports multiple diagram types: Neural-network architectures, system diagrams, biological pathways, circuits, and methodology flows (e.g., CONSORT/PRISMA-style diagrams).
  • Publication-ready outputs: Versioned images with detailed review logs and captions, suitable for LaTeX, slides, or posters.

Quick Start

Describe your diagram in natural language and let Nano Banana 2 generate publication-ready schematics.

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?

Yes, you can generate biological pathways and neural-network architectures. The tool supports these along with system diagrams, circuit schematics, and methodology flows like CONSORT or PRISMA, turning natural-language descriptions into structured visuals.

Does this tool ensure scientific diagrams are colorblind-safe and grayscale accessible?

Yes, the generated scientific diagrams are colorblind-safe and grayscale accessible. The iterative refinement workflow enforces publication standards through strict color guidelines and threshold-based prompts to ensure high-quality, accessible results.

What is the best way to create CONSORT or PRISMA-style methodology flow diagrams?

To automatically refine a scientific diagram, the system uses an AI-driven iterative workflow. It generates the initial schematic, reviews it against quality thresholds, and automatically refines the output until it meets publication standards.

Do I need to manually edit AI-generated schematics to meet publication standards?

No, you do not need to manually edit AI-generated schematics to meet publication standards. The workflow includes automatic quality reviews and versioned outputs, enforcing strict labeling and accessibility guidelines without tedious manual drawing work.