scientific-schematics

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

5|2|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/hyperbolic-c/auto-writing --skill scientific-schematics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/hyperbolic-c/auto-writing/tree/main/claude-scientific-writer/skills/scientific-schematics
Command: npx skills add https://github.com/hyperbolic-c/auto-writing --skill scientific-schematics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv.

What problem does it solve?

This skill automates the creation of publication-quality scientific diagrams from natural-language prompts, reducing manual drawing, formatting, and iteration time.

Core Features & Use Cases

  • Smart iterative refinement: Generates diagrams and reviews quality using Gemini 3 Pro; regenerates only when below threshold for document type.
  • Publication-ready outputs: Produces print-ready images with proper typography and accessibility considerations; stores versions in figures/ and provides review logs.
  • Versatile diagram types: Neural network architectures, system diagrams, flowcharts, biological pathways, circuit diagrams, and more.

Quick Start

Use this skill to generate a CONSORT flow diagram from a simple description. For example: python scripts/generate_schematic.py "CONSORT participant flow..." -o figures/consort.png --doc-type journal

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 natural-language prompts?▼

You can generate publication-quality scientific diagrams by providing natural-language prompts to an automated system that creates print-ready images. It uses smart iterative refinement and quality reviews to meet document-type thresholds.

What types of scientific visualization can be automated from text descriptions?▼

Automated scientific visualization from text supports neural-network architectures, system diagrams, flowcharts, biological pathways, and circuit schematics. It produces print-ready outputs with proper typography and accessibility considerations.

Do I need an OpenRouter API key to create publication-ready diagrams?▼

Yes, you need an OpenRouter API key (Nano Banana Pro) to create publication-ready diagrams. Optionally, a MiniMax key can be configured to enable faster single-shot generation.

Can I generate a CONSORT flow diagram for a journal submission using AI-assisted diagram-generation?▼

Yes, AI-assisted diagram-generation can produce a CONSORT flow diagram for journal submissions. You provide the participant flow description, specify the journal document type, and the system outputs a print-ready image.

How does iterative refinement improve scientific visualization outputs?▼

Iterative refinement improves scientific visualization by reviewing generated diagrams against document-type thresholds using Gemini 3 Pro. It automatically regenerates the diagram only when the quality falls below the required standard.

What is the best way to store and review versions of generated scientific schematics?▼

The best way to store and review versions of generated scientific schematics is using a system that saves outputs in a figures directory and provides review logs. This ensures proper version tracking for iterative refinement.