scientific-schematics

Convert natural-language diagram requests into publication-quality scientific schematics.

1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill scientific-schematics-victory-hugo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/Victory-Hugo/S2-Agent-Skill/tree/main/skills/writing/scientific-schematics
Command: npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill scientific-schematics-victory-hugo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv.

What problem does it solve?

This Skill enables researchers to convert natural-language descriptions into publication-quality scientific schematics automatically, reducing manual drawing time and ensuring professional visuals.

Core Features & Use Cases

  • Smart iterative refinement with Gemini 3 Pro quality reviews to stop regenerating once thresholds are reached.
  • Document-type aware thresholds (journal, conference, poster, etc.) to tailor outputs.
  • Wide diagram support, including neural networks, system architectures, flowcharts, and biological pathways.
  • Publication-ready outputs with accessibility, typography, and vector-export considerations.

Quick Start

  • Install and configure your environment, then run the generator with a natural-language prompt, for example: python scripts/generate_schematic.py "Transformer architecture diagram with encoder on left and decoder on right" -o figures/transformer.png

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 schematics from text prompts?

You can generate publication-quality scientific schematics by running the generator script with a natural-language prompt. The tool automatically iterates on the design and enforces typography, labeling, and accessibility standards for professional visuals.

Can I create neural network architecture diagrams and biological pathways automatically?

Yes, you can create neural network architectures, system diagrams, flowcharts, and biological pathways automatically. The Skill accepts simple text prompts and applies iterative refinement to render complex scientific structures accurately.

Does this tool support iterative refinement for journal and conference figures?

Yes, the tool supports iterative refinement with document-type aware thresholds for journals, conferences, and posters. It uses Gemini 3 Pro quality reviews to stop regenerating diagrams automatically once the specific quality threshold is reached.

What do I need to set up before converting text to scientific diagrams?

You need to install the requests and python-dotenv dependencies and configure your environment. Once setup is complete, you can run the Python generator script with your text prompt to output vector-friendly figures.

Are the exported scientific schematics accessible and vector-friendly?

Yes, the exported scientific schematics are vector-friendly and accessible. The tool enforces Okabe-Ito color standards, proper typography, and clear labeling to ensure diagrams meet professional publication and accessibility requirements.

Why does the diagram generation stop before reaching my desired quality?

Diagram generation stops automatically once it meets the document-type aware quality thresholds. The tool provides a transparent iterative workflow and a detailed review log, allowing you to verify if the output meets your specific standards.