Bye‑Bye Hand‑Drawn Diagrams: AI Generates Architecture Charts in Seconds
Fireworks‑tech‑graph is a Claude Code skill that turns natural‑language descriptions of systems into polished SVG and 1920 px PNG diagrams, offering five visual styles, built‑in AI/Agent patterns, easy installation, and a clear advantage over Mermaid and draw.io.
1. What is Fireworks‑tech‑graph?
Fireworks‑tech‑graph is a Claude Code skill created to eliminate hand‑drawn diagrams. By describing a system architecture, data flow, or any technical concept in English or Chinese, the skill automatically produces well‑formatted SVG files and high‑resolution (1920 px) PNG images.
2. Core workflow example
Input: “Generate a Mem0 memory architecture diagram, dark style”. The skill recognises the request, selects style 2 (dark terminal), generates an SVG containing lanes, cylinders and semantic arrows, exports a 1920 px PNG, and returns the files mem0-architecture.svg and mem0-architecture.png.
3. Five visual styles
The tool includes five carefully designed visual styles to suit different scenarios such as technical blogs, documentation, and product presentations.
Style 1 – Flat icons (default) : white background, coloured semantic arrows, suitable for blogs and slides.
Style 2 – Dark terminal : dark background, neon accents, monospaced font, a geek‑friendly look.
Style 3 – Blueprint : deep‑blue grid background, cyan lines, ideal for engineering architecture documents.
Style 4 – Notion minimal : minimalist white background with a single accent colour, blends into Notion or Confluence.
Style 5 – Glass‑morphism : dark gradient background with frosted‑glass cards, perfect for product websites and keynotes.
4. Domain‑specific knowledge for AI/Agent
Unlike generic diagram tools, Fireworks‑tech‑graph embeds AI/Agent expertise. It ships with common architecture patterns such as:
RAG pipeline: Query → Embed → VectorSearch → Retrieve → LLM → Response
Agentic RAG: adds agent loops and tool usage on top of the basic RAG pipeline
Mem0 memory layer: Input → Memory Manager → [VectorDB + GraphDB] → Context
Multi‑agent collaboration: Orchestrator → [SubAgent×N] → Aggregator → Output
Tool‑call flow: LLM → Tool Selector → Execution → Parser → LLM (loop)
The tool also defines a semantic graphic vocabulary—LLM is shown as a rounded rectangle with double borders, agents as hexagons, vector databases as ringed cylinders, decisions as diamonds, etc.—to keep diagrams consistent and professional.
5. Quick start and usage
Installation is a single command: claude skills install fireworks-tech-graph After installation, the skill can be triggered in Claude Code with short phrases. Example usage scenarios:
Basic : “Draw a RAG pipeline flowchart”.
Specify style : “Draw a micro‑service architecture diagram, style 2 (dark terminal)”.
Specify output path : “Generate a Mem0 architecture diagram, output to ~/Desktop/”.
Complex scenario : “Compare agentic RAG and standard RAG in a feature matrix, Notion minimal style”.
6. Why choose Fireworks‑tech‑graph?
Compared with existing tools such as Mermaid and draw.io, Fireworks‑tech‑graph offers distinct advantages:
Natural‑language input : No need to learn a DSL or perform manual editing.
Built‑in domain knowledge : Optimised for AI/Agent use‑cases, ready‑to‑use patterns.
Automatic multi‑style output : One‑click switch among five styles without manual colour or layout adjustments.
High‑quality PNG export : Generates lossless 1920 px PNGs that embed cleanly into documents.
The project is open source on GitHub (yizhiyanhua‑ai/fireworks-tech-graph) and released under the MIT license.
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