React Flow Architecture

v1.1.0

Architectural guidance for building node-based UIs with React Flow. Use when designing flow-based applications, making decisions about state management, inte...

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Purpose & Capability
Name and description match the SKILL.md content: architecture patterns, state management, integration examples and performance guidance for React Flow. No unrelated capabilities, credentials, or system access are requested.
Instruction Scope
SKILL.md contains only explanatory text and example code/snippets (React/TypeScript). Examples reference typical integration endpoints (e.g., fetch('/api/flow')) and localStorage usage as sample application code, but do not instruct the agent to execute system commands, read system files, or exfiltrate data.
Install Mechanism
No install spec or code files are present; this is instruction-only so nothing will be written to disk or downloaded during install.
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always is false and the skill does not request persistent privileges or modify other skills or system-wide settings. Autonomous invocation is allowed by platform default but is not combined with any broad credential or install behavior here.
Assessment
This skill is a static architecture guide and appears internally consistent with its purpose. It contains code examples that show how to integrate with an API endpoint (e.g., fetch('/api/flow')) and use localStorage — these are illustrative and won't run just by installing the skill. Before using any example in production, ensure your backend endpoints require proper authentication, avoid storing sensitive data in localStorage, and apply appropriate rate-limiting and validation. If you plan to let an agent execute code derived from these snippets, review the execution context and network permissions first.

Like a lobster shell, security has layers — review code before you run it.

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v1.1.0
MIT-0

React Flow Architecture

When to Use React Flow

Good Fit

  • Visual programming interfaces
  • Workflow builders and automation tools
  • Diagram editors (flowcharts, org charts)
  • Data pipeline visualization
  • Mind mapping tools
  • Node-based audio/video editors
  • Decision tree builders
  • State machine designers

Consider Alternatives

  • Simple static diagrams (use SVG or canvas directly)
  • Heavy real-time collaboration (may need custom sync layer)
  • 3D visualizations (use Three.js, react-three-fiber)
  • Graph analysis with 10k+ nodes (use WebGL-based solutions like Sigma.js)

Architecture Patterns

Package Structure (xyflow)

@xyflow/system (vanilla TypeScript)
├── Core algorithms (edge paths, bounds, viewport)
├── xypanzoom (d3-based pan/zoom)
├── xydrag, xyhandle, xyminimap, xyresizer
└── Shared types

@xyflow/react (depends on @xyflow/system)
├── React components and hooks
├── Zustand store for state management
└── Framework-specific integrations

@xyflow/svelte (depends on @xyflow/system)
└── Svelte components and stores

Implication: Core logic is framework-agnostic. When contributing or debugging, check if issue is in @xyflow/system or framework-specific package.

State Management Approaches

1. Local State (Simple Apps)

// useNodesState/useEdgesState for prototyping
const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes);
const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges);

Pros: Simple, minimal boilerplate Cons: State isolated to component tree

2. External Store (Production)

// Zustand store example
import { create } from 'zustand';

interface FlowStore {
  nodes: Node[];
  edges: Edge[];
  setNodes: (nodes: Node[]) => void;
  onNodesChange: OnNodesChange;
}

const useFlowStore = create<FlowStore>((set, get) => ({
  nodes: initialNodes,
  edges: initialEdges,
  setNodes: (nodes) => set({ nodes }),
  onNodesChange: (changes) => {
    set({ nodes: applyNodeChanges(changes, get().nodes) });
  },
}));

// In component
function Flow() {
  const { nodes, edges, onNodesChange } = useFlowStore();
  return <ReactFlow nodes={nodes} onNodesChange={onNodesChange} />;
}

Pros: State accessible anywhere, easier persistence/sync Cons: More setup, need careful selector optimization

3. Redux/Other State Libraries

// Connect via selectors
const nodes = useSelector(selectNodes);
const dispatch = useDispatch();

const onNodesChange = useCallback((changes: NodeChange[]) => {
  dispatch(nodesChanged(changes));
}, [dispatch]);

Data Flow Architecture

User Input → Change Event → Reducer/Handler → State Update → Re-render
     ↓
[Drag node] → onNodesChange → applyNodeChanges → setNodes → ReactFlow
     ↓
[Connect]   → onConnect → addEdge → setEdges → ReactFlow
     ↓
[Delete]    → onNodesDelete → deleteElements → setNodes/setEdges → ReactFlow

Sub-Flow Pattern (Nested Nodes)

// Parent node containing child nodes
const nodes = [
  {
    id: 'group-1',
    type: 'group',
    position: { x: 0, y: 0 },
    style: { width: 300, height: 200 },
  },
  {
    id: 'child-1',
    parentId: 'group-1',  // Key: parent reference
    extent: 'parent',      // Key: constrain to parent
    position: { x: 10, y: 30 },  // Relative to parent
    data: { label: 'Child' },
  },
];

Considerations:

  • Use extent: 'parent' to constrain dragging
  • Use expandParent: true to auto-expand parent
  • Parent z-index affects child rendering order

Viewport Persistence

// Save viewport state
const { toObject, setViewport } = useReactFlow();

const handleSave = () => {
  const flow = toObject();
  // flow.nodes, flow.edges, flow.viewport
  localStorage.setItem('flow', JSON.stringify(flow));
};

const handleRestore = () => {
  const flow = JSON.parse(localStorage.getItem('flow'));
  setNodes(flow.nodes);
  setEdges(flow.edges);
  setViewport(flow.viewport);
};

Integration Patterns

With Backend/API

// Load from API
useEffect(() => {
  fetch('/api/flow')
    .then(r => r.json())
    .then(({ nodes, edges }) => {
      setNodes(nodes);
      setEdges(edges);
    });
}, []);

// Debounced auto-save
const debouncedSave = useMemo(
  () => debounce((nodes, edges) => {
    fetch('/api/flow', {
      method: 'POST',
      body: JSON.stringify({ nodes, edges }),
    });
  }, 1000),
  []
);

useEffect(() => {
  debouncedSave(nodes, edges);
}, [nodes, edges]);

With Layout Algorithms

import dagre from 'dagre';

function getLayoutedElements(nodes: Node[], edges: Edge[]) {
  const g = new dagre.graphlib.Graph();
  g.setGraph({ rankdir: 'TB' });
  g.setDefaultEdgeLabel(() => ({}));

  nodes.forEach((node) => {
    g.setNode(node.id, { width: 150, height: 50 });
  });

  edges.forEach((edge) => {
    g.setEdge(edge.source, edge.target);
  });

  dagre.layout(g);

  return {
    nodes: nodes.map((node) => {
      const pos = g.node(node.id);
      return { ...node, position: { x: pos.x, y: pos.y } };
    }),
    edges,
  };
}

Performance Scaling

Node Count Guidelines

NodesStrategy
< 100Default settings
100-500Enable onlyRenderVisibleElements
500-1000Simplify custom nodes, reduce DOM elements
> 1000Consider virtualization, WebGL alternatives

Optimization Techniques

<ReactFlow
  // Only render nodes/edges in viewport
  onlyRenderVisibleElements={true}

  // Reduce node border radius (improves intersect calculations)
  nodeExtent={[[-1000, -1000], [1000, 1000]]}

  // Disable features not needed
  elementsSelectable={false}
  panOnDrag={false}
  zoomOnScroll={false}
/>

Trade-offs

Controlled vs Uncontrolled

ControlledUncontrolled
More boilerplateLess code
Full state controlInternal state
Easy persistenceNeed toObject()
Better for complex appsGood for prototypes

Connection Modes

Strict (default)Loose
Source → Target onlyAny handle → any handle
Predictable behaviorMore flexible
Use for data flowsUse for diagrams
<ReactFlow connectionMode={ConnectionMode.Loose} />

Edge Rendering

Default edgesCustom edges
Fast renderingMore control
Limited stylingAny SVG/HTML
Simple use casesComplex labels

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