diagrams-generator

Generate diagrams from text or sketches using Python libraries.

11|Updated Sep 25, 2024
One-click install
npx skills add https://github.com/edte/dotfiles --skill diagrams-generator-edte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: diagrams-generator
Source: https://github.com/edte/dotfiles/tree/main/claude/skills/diagrams-generator
Command: npx skills add https://github.com/edte/dotfiles --skill diagrams-generator-edte

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of professional diagrams from natural language descriptions or sketches, eliminating manual drawing effort and enabling rapid visualization of ideas.

Core Features & Use Cases

  • Diagram generation: Produce cloud architecture diagrams, data charts, academic figures, and network/topology visuals from text prompts or uploaded sketches.
  • Tool-agnostic rendering: Automatically selects the most appropriate rendering backend (diagrams, matplotlib/seaborn, plotly) or LaTeX/TikZ for publication-quality outputs, based on output needs and dependencies.
  • Trigger flexibility: Activated by multilingual prompts like "画架构图", "画图表", "画论文插图", or when users provide a sketch/image to recreate professionally.
  • Outputs & formats: Generates outputs in PNG and SVG (with optional PDF for LaTeX-based diagrams), ready for embedding in documents or presentations.

Quick Start

Provide a textual description or upload a sketch of the desired diagram. The skill analyzes the input, selects the best rendering tool, and returns ready-to-use PNG and SVG diagrams.

Frequently Asked Questions about diagrams-generator

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

FAQPage Schema
How do I generate cloud architecture diagrams from text descriptions?

To generate cloud architecture diagrams from text, you provide a natural language description of your system, and the tool automatically selects a Python rendering backend like the diagrams library to produce professional PNG and SVG outputs.

Can I create academic figures and data charts from a rough sketch?

Yes, you can create academic figures and data charts by uploading a rough sketch. The tool analyzes the image, selects an appropriate renderer like matplotlib, seaborn, or LaTeX, and returns a publication-quality diagram.

Does this diagram generator support multilingual prompts for network topology visuals?

Yes, the diagram generator supports multilingual prompts for network topology visuals. You can trigger diagram creation using natural language inputs in multiple languages, such as "画架构图" or "画图表".

What is the best way to produce publication-quality SVG and PDF diagrams from text?

The best way to produce publication-quality SVG and PDF diagrams from text is using a tool that automatically selects rendering backends like plotly or LaTeX, generating ready-to-use vector outputs directly from your natural language descriptions.

Do I need Python libraries installed to render neural network topology diagrams?

Yes, you need specific Python libraries installed to render neural network topology diagrams. The generation process relies on Python dependencies such as diagrams, matplotlib, seaborn, plotly, and optionally Graphviz or LaTeX for advanced outputs.