Generate Architecture, Flowcharts, and PPT Diagrams with Claude Code – A Practical Guide

When writing technical articles or documentation, creating diagrams is often the most painful step: you must learn Mermaid syntax, drag elements in draw.io, or wrestle with PowerPoint’s limited styling, and the resulting images look out of place on dark GitHub themes. The open‑source project fireworks‑tech‑graph solves this by providing a Claude Code skill that generates production‑grade SVG and PNG diagrams directly from natural‑language descriptions.

Key Features

Supports seven visual styles (Flat Icon, Dark Terminal, Blueprint, Notion Clean, Glassmorphism, Claude Official, OpenAI Official) each suited to different backgrounds and use cases.

Includes 14 UML diagram types (class, sequence, component, etc.) and eight major diagram categories such as system architecture, data flow, flowcharts/decision trees, Agent architecture, comparison matrices, and mind maps.

Built‑in AI/Agent semantics recognize patterns like RAG pipelines, Agentic Search, Mem0 memory layers, and multi‑Agent collaboration without extra prompting.

Shapes and arrows carry meaning: LLMs are shown as rounded rectangles, agents as hexagons, vector databases as cylinders with inner rings, graph databases as three connected circles; solid arrows denote primary data flow, dashed arrows indicate async/event flow, and colors differentiate read/write/trigger actions.

Usage

Installation requires a single command:

npx skills add yizhiyanhua-ai/fireworks-tech-graph

macOS users also need the librsvg library: brew install librsvg After installation, you can issue plain English prompts in Claude Code, for example:

Draw a Mem0 memory architecture diagram in style 1 (Flat Icon)

Or specify style and output path:

Draw a microservices architecture diagram, style 2 (dark terminal) Generate a Mem0 architecture diagram, output to ~/Desktop/

The tool automatically exports high‑resolution 1920 px PNG files and can switch styles or output directories on the fly, covering the whole pipeline from idea to embeddable image.

Comparison with Mermaid and draw.io

Natural‑language input: only fireworks‑tech‑graph supports it (✅).

AI/Agent domain semantics: supported by fireworks‑tech‑graph (✅), absent in Mermaid and draw.io (✗).

Multiple visual styles: fireworks‑tech‑graph offers seven styles (✅), Mermaid none, draw.io requires manual tweaking.

Automatic 1920 px PNG export: provided by fireworks‑tech‑graph (✅), not by Mermaid (✗) and manual in draw.io.

Semantic arrow colors: automated in fireworks‑tech‑graph (✅), manual in the others.

Offline usage: both Mermaid and fireworks‑tech‑graph work offline (✅), draw.io needs an online tool (✗).

Mermaid is convenient for quick Markdown embeds, but for full‑scale project documentation or AI‑generated professional graphics ready for PPT or websites, fireworks‑tech‑graph is a more suitable choice.

Target Audience

Technical bloggers and content creators.

Development teams that need rapid diagram generation.

Engineers preparing technical presentations or PPTs.

Researchers in AI/Agent fields who benefit from the built‑in knowledge‑base.

The GitHub repository (https://github.com/yizhiyanhua-ai/fireworks-tech-graph) has amassed over 1,500 stars and 117 forks since its recent release, indicating fast community adoption.