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scientific-schematics

Generate publication-quality scientific diagrams from natural-language prompts with iterative refinement.

1|Updated Mar 4, 2026
Search Tags:#diagram#ai-generation#publication-quality#iterative-refinement#scientific-visualization#review-log
One-click install
npx skills add https://github.com/Hung-3008/agusta --skill scientific-schematics-hung-3008
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/scientific-schematics
Command: npx skills add https://github.com/Hung-3008/agusta --skill scientific-schematics-hung-3008

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Generates publication-ready scientific diagrams from natural-language prompts, enabling researchers to convert ideas into polished visuals without manual drawing or templating.

Core Features & Use Cases

  • Smart iterative refinement with Gemini 3.1 Pro Preview quality checks to ensure document-type thresholds are met.
  • Supports neural network architectures, system diagrams, flowcharts, biological pathways, and other complex scientific visuals.
  • Produces versioned outputs plus detailed review logs for traceability and reproducibility.

Quick Start

Describe the diagram you need in natural language to generate publication-ready visuals.

Frequently Asked Questions about scientific-schematics

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

FAQPage Schema
How do I create publication-quality scientific diagrams from natural language prompts?▼

You can generate publication-quality scientific diagrams by inputting natural-language prompts, which the system uses to automatically create and iteratively refine visuals until quality thresholds are met.

How does iterative refinement work for AI-generated scientific visualizations?▼

Iterative refinement uses automated quality review to evaluate generated scientific visualizations, regenerating the diagram only when the quality score falls below the required threshold for the document type.

Can I generate neural network architectures and biological pathways without manual drawing?▼

Yes, you can generate complex scientific visuals like neural network architectures, system diagrams, flowcharts, and biological pathways directly from text prompts without manual drawing or templating.

Does the scientific diagram generation process provide reproducible figures?▼

Yes, the process produces versioned outputs and detailed review logs, ensuring traceability and reproducible figures for your scientific publications.

Do I need the requests library to automate scientific diagram creation?▼

Yes, the requests library is required as a dependency to handle the automated generation and iterative refinement of your scientific diagrams.

What's the best way to ensure generated scientific diagrams meet publication standards?▼

The best way to ensure publication standards is using the automated quality review loop, which checks generated diagrams against document-type aware thresholds and regenerates them if scores fall short.

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