Fireworks Tech Graph β€” Natural Language to Architecture Diagrams in Claude Code

Fireworks Tech Graph β€” Natural Language to Architecture Diagrams in Claude Code

Describe a system in plain English, get a production-ready architecture diagram. Fireworks Tech Graph is a Claude Code skill that generates polished SVG + 1920px PNG diagrams from natural language β€” no Mermaid syntax, no draw.io GUI, no manual design. It understands AI/agent domain concepts natively: say β€œdraw a RAG pipeline” and it knows what a vector store, embedding flow, and retrieval chain look like. 14 diagram types, 7 visual styles, 40+ product icons.

*Source: GitHub β€” yizhiyanhua-ai/fireworks-tech-graph AgenticExamples*

How It Works

"Draw a multi-agent collaboration diagram"
         ↓
Classify β†’ Extract nodes/edges β†’ Plan layout β†’ Apply style
         ↓
    SVG (editable) + 1920px PNG

No DSL to learn. No GUI to navigate. Just describe what you want.

Installation

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

# Dependency for PNG export
brew install librsvg          # macOS
sudo apt install librsvg2-bin # Linux

14 Diagram Types

Type Best For
Architecture Diagram Horizontal layers (client β†’ gateway β†’ services β†’ storage)
Data Flow Emphasizing data movement with labeled arrows
Flowchart Sequential decisions with diamonds
Agent Architecture LLM reasoning, memory, tools, iteration loops
Memory Architecture Write/read paths, storage tiers (Mem0 pattern)
Sequence Diagram Time-ordered messages between lifelines
Comparison Matrix Side-by-side system comparison
Timeline / Gantt Duration bars on time axis
Mind Map Radial layout from central node
Class Diagram (UML) Three-compartment boxes, inheritance
Use Case Diagram Actors, ellipses, system boundary
State Machine States, transitions with events/guards
ER Diagram Entities with PK/FK and cardinality
Network Topology Devices with connections

7 Visual Styles

Style Background Best For
Flat Icon (default) White Blogs, slides, docs
Dark Terminal #0f0f1a GitHub READMEs, dev articles
Blueprint #0a1628 Architecture docs
Notion Clean White Notion, Confluence, wikis
Glassmorphism #0d1117 gradient Product sites, keynotes
Claude Official #f8f6f3 Anthropic-style warm aesthetic
OpenAI Official White Modern minimalist

Smart Domain Awareness

The skill maps concepts to semantic shapes automatically:

Concept Shape
LLM / Model Rounded rect + brain icon
Agent / Orchestrator Hexagon
Vector Store Cylinder with grid lines
Tool / Function Gear rect
Memory (short-term) Dashed rounded rect
Memory (long-term) Database cylinder
User / Human Stick figure
Queue / Stream Horizontal tube

Arrows encode meaning too: blue solid = primary data, orange = control, green = memory read, green dashed = memory write, purple curved = feedback loop.

Built-in AI/Agent Patterns

# These just work β€” the skill knows the patterns
"Draw a RAG pipeline"
"Generate a Mem0 memory architecture"
"Create a multi-agent collaboration diagram"
"Visualize a tool call flow"
"Draw an agentic search architecture"

40+ product icons built in: OpenAI, Anthropic, Pinecone, Weaviate, Kafka, PostgreSQL, Redis, and more.

vs. Alternatives

Β  Fireworks Mermaid draw.io scientific-schematics
Input Natural language DSL syntax GUI Natural language
Visual styles 7 1 Manual AI-generated
AI domain patterns Built-in None Manual None
Output SVG + 1920px PNG SVG/PNG Various PNG
No GUI Yes Yes No Yes

How LearnAI Team Could Use This

  • Course slides β€” Generate architecture diagrams for lectures in seconds. β€œDraw a client-server architecture with REST API” β†’ polished diagram ready for slides.
  • Research papers β€” System architecture figures for publications. The Blueprint or Notion Clean styles are publication-appropriate. SVG output is vector β€” scales to any resolution.
  • Student assignments β€” Students describe their project architecture in English, the skill generates the diagram. Teaches architectural thinking without requiring Visio/draw.io skills.
  • Teaching agent architectures β€” Built-in patterns for RAG, multi-agent, tool call flows are exactly what you’d teach in an AI systems course.
  • Wiki illustrations β€” Generate diagrams for LearnAI wiki entries directly from Claude Code. Dark Terminal style matches the wiki aesthetic.

Real-World Use Cases

  1. Technical documentation β€” Engineering teams generate architecture diagrams from design docs without switching to a drawing tool.
  2. Blog posts / README β€” Open-source projects generate polished architecture visuals for their GitHub READMEs.
  3. Architecture reviews β€” Quickly visualize proposed system designs during design review meetings.
  4. Client presentations β€” Consultants generate professional diagrams from whiteboard notes in minutes.
  5. Interview prep β€” Practice system design by describing architectures and getting instant visual feedback.