scientific-schematics

Generate scientific diagrams from natural language descriptions with iterative quality review.

13|3|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/tassiovale/claude-code-kit --skill scientific-schematics-tassiovale
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/scientific-schematics
Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill scientific-schematics-tassiovale

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, json, base64, os, sys, subprocess, pathlib, re, dotenv, logging, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating publication-quality scientific diagrams by offering a streamlined process that combines AI generation and iterative refinement, ensuring high-quality visual representation of complex scientific concepts.

Core Features & Use Cases

  • AI Generation: Use natural language descriptions to generate scientific diagrams.
  • Quality Review: Gemini 3.1 Pro Preview performs professional-quality reviews on the diagrams.
  • Iterative Refinement: Automatically regenerates diagrams based on review feedback until the desired quality is achieved.
  • Use Case: Imagine you need a high-quality diagram of a biological signaling pathway. Simply describe the desired pathway in natural language, and the skill will create the diagram, review its quality, and iterate as needed until the diagram meets the required standard.

Quick Start

Generate a diagram for a scientific paper by describing it in natural language, e.g., 'Create a detailed mapk signaling pathway diagram'.

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 descriptions?

You can generate publication-quality scientific diagrams by providing natural language descriptions to this AI tool, which creates visual representations of complex scientific concepts for research and education.

Can I automatically refine AI-generated scientific diagrams until they meet publication standards?

Yes, this AI diagram generator performs an automated quality review and uses iterative refinement, regenerating the scientific diagram based on feedback until the desired publication-quality standard is achieved.

What types of scientific diagrams can I create using natural language processing?

You can create a wide variety of scientific diagrams, including neural network architectures, biological pathways like mapk signaling, and complex system diagrams for scientific document preparation.

Do I need an OpenRouter API key to generate scientific diagrams?

Yes, you need an OpenRouter API key to use the AI generation feature, which leverages models like Gemini 3.1 Pro Preview to perform professional-quality reviews on your scientific diagrams.

Does this scientific diagram tool work with matplotlib for rendering outputs?

Yes, the skill uses matplotlib as a dependency alongside standard Python libraries like os, sys, and subprocess to automate the creation and rendering of scientific diagrams.

What is the best way to create a biological signaling pathway diagram for a research paper?

The best way is to describe the desired biological pathway in natural language, allowing the AI to create the diagram, review its quality, and iterate as needed until it meets your research publication standards.