How does Fireworks Tech Graph compare to AutoFigure?

Different tools for different audiences. Fireworks Tech Graph is optimized for engineering diagrams (architecture, UML, agent flows) with preset visual styles. AutoFigure is optimized for scientific/research figures with style transfer and paper-to-figure extraction.

What visual styles does Fireworks Tech Graph support?

8 styles: Flat Icon (default), Dark Terminal, Blueprint, Notion Clean, Glassmorphism, Claude Official, OpenAI Official, and Dark Luxury (AI-authored).

Does Fireworks Tech Graph require an API key?

No separate API key. It's a Claude Code skill that uses your existing Claude Code session. Install with 'npx skills add yizhiyanhua-ai/fireworks-tech-graph'.

What diagram types does Fireworks Tech Graph support?

14 UML diagram types (Class, Sequence, Activity, State Machine, Component, Deployment, Use Case, etc.) plus AI/agent domain patterns (RAG pipelines, multi-agent architectures, tool call flows, memory systems).

Can I edit the generated diagrams?

Yes. Outputs are SVG files — fully editable in any vector editor (Figma, Illustrator, Inkscape). PNG exports are 1920px for high-resolution embedding.

Fireworks Tech Graph: Natural Language to Technical Diagrams (+ AutoFigure Comparison)

Q: What is Fireworks Tech Graph?

A Claude Code skill that generates production-ready SVG + PNG technical diagrams from natural language descriptions. Supports 8 visual styles, 14 UML diagram types, and has built-in AI/agent domain patterns (RAG, multi-agent, tool calls).

By Prahlad Menon Published 2026-06-11 4 min read

Describing a system architecture and getting a polished diagram in seconds — that’s the promise of Fireworks Tech Graph, a Claude Code skill that turns natural language into publication-ready technical diagrams.

We covered AutoFigure earlier this year for scientific figure generation. Fireworks Tech Graph tackles a different problem: engineering and architecture diagrams for developers, not researchers.

What Is Fireworks Tech Graph?

A Claude Code skill that generates SVG + PNG diagrams from natural language. Describe your system, pick a style, get a diagram.

"Generate a Mem0 memory architecture diagram, dark style"
  → Classifies: Memory Architecture, Style 2 (Dark Terminal)
  → Generates SVG with swim lanes, cylinders, semantic arrows
  → Exports 1920px PNG

Key capabilities:

8 visual styles — From clean corporate to neon terminal aesthetics
14 UML diagram types — Full UML coverage (class, sequence, activity, deployment, etc.)
AI/agent domain patterns — RAG, Agentic Search, multi-agent, tool call flows built-in
Semantic shape vocabulary — LLMs get double-border rectangles, agents get hexagons, vector stores get ringed cylinders
Smart arrow colors — Dash patterns and colors encode meaning (read vs write vs async)
40+ product icons — OpenAI, Anthropic, Pinecone, Kafka, PostgreSQL with brand colors

The 8 Visual Styles

Unlike most diagram generators that output one generic look, Fireworks Tech Graph has distinct aesthetics:

Style	Look	Best For
1. Flat Icon	White, clean, semantic arrows	Product docs, READMEs
2. Dark Terminal	Neon accents, monospace	Dev blogs, terminal UIs
3. Blueprint	Deep blue, grid lines, cyan strokes	Engineering specs
4. Notion Clean	Minimal white, single accent	Documentation
5. Glassmorphism	Frosted cards, soft glow	Modern presentations
6. Claude Official	Warm cream, Anthropic palette	Anthropic-themed docs
7. OpenAI Official	Pure white, green accents	OpenAI-themed content
8. Dark Luxury	Black + gold, serif titles	Premium presentations

Styles 1-7 are template-driven. Style 8 (Dark Luxury) is AI-authored — the model reads style guidelines and hand-crafts the SVG.

Installation

It’s a Claude Code skill, not a standalone app:

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

For PNG export, install one renderer:

# Recommended
pip install cairosvg

# Alternatives
brew install librsvg          # macOS
npm install puppeteer          # Highest fidelity, heavyweight

Usage Examples

Basic

Draw a RAG pipeline flowchart

With Style

Draw a microservices architecture diagram, style 3 (blueprint)

AI/Agent Patterns

Generate a Mem0 memory architecture diagram with vector store, 
graph DB, KV store, and memory manager

Draw a Multi-Agent diagram: Orchestrator dispatches 3 SubAgents 
(search / compute / code execution), results aggregated

Full UML

Create a sequence diagram showing OAuth 2.0 authorization code flow

Fireworks Tech Graph vs AutoFigure: When to Use Which

Both generate diagrams from natural language. They target different audiences.

	Fireworks Tech Graph	AutoFigure
Primary audience	Engineers, developers	Researchers, academics
Diagram types	Architecture, UML, agent flows	Scientific method figures
Style control	8 preset styles	Style transfer (match any reference)
Output	SVG + 1920px PNG	Editable SVG with embedded editor
Hosted version	No (Claude Code skill)	Yes (deepscientist.cc)
Paper integration	No	Yes (PDF → Figure extraction)
Domain knowledge	AI/agent patterns, UML	Scientific methodology

Use Fireworks Tech Graph When:

You’re documenting a software architecture
You need UML diagrams (class, sequence, component, etc.)
You want AI agent flow diagrams (RAG, multi-agent, tool calls)
You need consistent visual branding (Claude/OpenAI/corporate styles)
You’re already using Claude Code

Use AutoFigure When:

You’re creating figures for a research paper
You need to match another paper’s visual style
You want to extract methodology figures from PDFs
You need the embedded SVG editor
You’re not using Claude Code

Why Not Mermaid or draw.io?

	Mermaid	draw.io	Fireworks Tech Graph
Natural language input	✗	✗	✅
AI/agent domain patterns	✗	✗	✅
Multiple visual styles	✗	Manual	✅ 8 built-in
High-res PNG export	✗	Manual	✅ Auto 1920px
Semantic arrow colors	✗	Manual	✅ Auto
No online tool needed	✅	✗	✅

Mermaid requires learning its DSL. draw.io requires clicking around a GUI. Fireworks Tech Graph: describe in English, get a diagram.

Stable Prompt Recipes

The repo includes tested prompts for each style. Here’s the Dark Terminal example:

Draw a tool call flow diagram in style 2 (Dark Terminal).
Show User query, Retrieve chunks, Generate answer, Knowledge base, 
Agent, Terminal, Source documents, and Grounded answer.
Use terminal chrome, neon accents, monospace typography, and 
semantic arrows for retrieval, synthesis, and embedding update.

These regression-tested prompts produce consistent outputs across sessions.

Technical Implementation

Under the hood:

Skill classification — Detects diagram type and style from prompt
Domain knowledge — Built-in patterns for AI/agent architectures
Semantic vocabulary — Shape and arrow rules encoded, not just documented
SVG generation — Pure inline SVG, no external font fetching
PNG export — cairosvg (recommended), rsvg-convert, or puppeteer

The semantic shape vocabulary is interesting: every component type has a consistent visual representation. LLMs always get double-border rectangles. Agents always get hexagons. This creates instantly recognizable diagrams across styles.

The Bigger Picture

We’ve now covered two text-to-diagram tools:

AutoFigure — For researchers creating publication figures
Fireworks Tech Graph — For engineers creating architecture diagrams

Both eliminate the tedious manual drawing step. The difference is domain knowledge: AutoFigure understands scientific methodology and journal aesthetics. Fireworks Tech Graph understands software architecture and AI agent patterns.

As these tools mature, expect more domain-specific variants. Medical diagrams. Financial flowcharts. Legal process maps. The pattern is clear: encode domain expertise into the generation process, not just generic drawing capabilities.

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