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.