react-flow-architect

name	react-flow-architect
description	Expert ReactFlow architect for building interactive graph applications with hierarchical node-edge systems, performance optimization, and auto-layout integration. Use when Claude needs to create or...
risk	unknown
source	community
date_added	"2026-02-27T00:00:00.000Z"

ReactFlow Architect

Build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management.

Quick Start

Create basic interactive graph:

import ReactFlow, {Node, Edge} from 'reactflow'

const nodes: Node[] = [
	{id: '1', position: {x: 0, y: 0}, data: {label: 'Node 1'}},
	{id: '2', position: {x: 100, y: 100}, data: {label: 'Node 2'}},
]

const edges: Edge[] = [{id: 'e1-2', source: '1', target: '2'}]

export default function Graph() {
	return (
		<ReactFlow
			nodes={nodes}
			edges={edges}
		/>
	)
}

Core Patterns

Hierarchical Tree Navigation

Build expandable/collapsible tree structures with parent-child relationships.

Node Schema

interface TreeNode extends Node {
	data: {
		label: string
		level: number
		hasChildren: boolean
		isExpanded: boolean
		childCount: number
		category: 'root' | 'category' | 'process' | 'detail'
	}
}

Incremental Node Building

const buildVisibleNodes = useCallback(
	(allNodes: TreeNode[], expandedIds: Set<string>, otherDeps: any[]) => {
		const visibleNodes = new Map<string, TreeNode>()
		const visibleEdges = new Map<string, TreeEdge>()

		// Start with root nodes
		const rootNodes = allNodes.filter(n => n.data.level === 0)

		// Recursively add visible nodes
		const addVisibleChildren = (node: TreeNode) => {
			visibleNodes.set(node.id, node)

			if (expandedIds.has(node.id)) {
				const children = allNodes.filter(n => n.parentNode === node.id)
				children.forEach(child => addVisibleChildren(child))
			}
		}

		rootNodes.forEach(root => addVisibleChildren(root))

		return {
			nodes: Array.from(visibleNodes.values()),
			edges: Array.from(visibleEdges.values()),
		}
	},
	[],
)

Performance Optimization

Handle large datasets with incremental rendering and memoization.

Incremental Rendering

const useIncrementalGraph = (
	allNodes: Node[],
	allEdges: Edge[],
	expandedList: string[],
) => {
	const prevExpandedListRef = useRef<Set<string>>(new Set())
	const prevOtherDepsRef = useRef<any[]>([])

	const {visibleNodes, visibleEdges} = useMemo(() => {
		const currentExpandedSet = new Set(expandedList)
		const prevExpandedSet = prevExpandedListRef.current

		// Check if expanded list changed
		const expandedChanged = !areSetsEqual(currentExpandedSet, prevExpandedSet)

		// Check if other dependencies changed
		const otherDepsChanged = !arraysEqual(otherDeps, prevOtherDepsRef.current)

		if (expandedChanged && !otherDepsChanged) {
			// Only expanded list changed - incremental update
			return buildIncrementalUpdate(
				cachedVisibleNodesRef.current,
				cachedVisibleEdgesRef.current,
				allNodes,
				allEdges,
				currentExpandedSet,
				prevExpandedSet,
			)
		} else {
			// Full rebuild needed
			return buildFullGraph(allNodes, allEdges, currentExpandedSet)
		}
	}, [allNodes, allEdges, expandedList, ...otherDeps])

	return {visibleNodes, visibleEdges}
}

Memoization Patterns

// Memoize node components to prevent unnecessary re-renders
const ProcessNode = memo(({ data, selected }: NodeProps) => {
  return (
    <div className={`process-node ${selected ? 'selected' : ''}`}>
      {data.label}
    </div>
  );
}, (prevProps, nextProps) => {
  // Custom comparison function
  return (
    prevProps.data.label === nextProps.data.label &&
    prevProps.selected === nextProps.selected &&
    prevProps.data.isExpanded === nextProps.data.isExpanded
  );
});

// Memoize edge calculations
const styledEdges = useMemo(() => {
  return edges.map(edge => ({
    ...edge,
    style: {
      ...edge.style,
      strokeWidth: selectedEdgeId === edge.id ? 3 : 2,
      stroke: selectedEdgeId === edge.id ? '#3b82f6' : '#94a3b8',
    },
    animated: selectedEdgeId === edge.id,
  }));
}, [edges, selectedEdgeId]);

State Management

Complex node/edge state patterns with undo/redo and persistence.

Reducer Pattern

type GraphAction =
	| {type: 'SELECT_NODE'; payload: string}
	| {type: 'SELECT_EDGE'; payload: string}
	| {type: 'TOGGLE_EXPAND'; payload: string}
	| {type: 'UPDATE_NODES'; payload: Node[]}
	| {type: 'UPDATE_EDGES'; payload: Edge[]}
	| {type: 'UNDO'}
	| {type: 'REDO'}

const graphReducer = (state: GraphState, action: GraphAction): GraphState => {
	switch (action.type) {
		case 'SELECT_NODE':
			return {
				...state,
				selectedNodeId: action.payload,
				selectedEdgeId: null,
			}

		case 'TOGGLE_EXPAND':
			const newExpanded = new Set(state.expandedNodeIds)
			if (newExpanded.has(action.payload)) {
				newExpanded.delete(action.payload)
			} else {
				newExpanded.add(action.payload)
			}
			return {
				...state,
				expandedNodeIds: newExpanded,
				isDirty: true,
			}

		default:
			return state
	}
}

History Management

const useHistoryManager = (
	state: GraphState,
	dispatch: Dispatch<GraphAction>,
) => {
	const canUndo = state.historyIndex > 0
	const canRedo = state.historyIndex < state.history.length - 1

	const undo = useCallback(() => {
		if (canUndo) {
			const newIndex = state.historyIndex - 1
			const historyEntry = state.history[newIndex]

			dispatch({
				type: 'RESTORE_FROM_HISTORY',
				payload: {
					...historyEntry,
					historyIndex: newIndex,
				},
			})
		}
	}, [canUndo, state.historyIndex, state.history])

	const saveToHistory = useCallback(() => {
		dispatch({type: 'SAVE_TO_HISTORY'})
	}, [dispatch])

	return {canUndo, canRedo, undo, redo, saveToHistory}
}

Advanced Features

Auto-Layout Integration

Integrate Dagre for automatic graph layout:

import dagre from 'dagre'

const layoutOptions = {
	rankdir: 'TB', // Top to Bottom
	nodesep: 100, // Node separation
	ranksep: 150, // Rank separation
	marginx: 50,
	marginy: 50,
	edgesep: 10,
}

const applyLayout = (nodes: Node[], edges: Edge[]) => {
	const g = new dagre.graphlib.Graph()
	g.setGraph(layoutOptions)
	g.setDefaultEdgeLabel(() => ({}))

	// Add nodes to graph
	nodes.forEach(node => {
		g.setNode(node.id, {width: 200, height: 100})
	})

	// Add edges to graph
	edges.forEach(edge => {
		g.setEdge(edge.source, edge.target)
	})

	// Calculate layout
	dagre.layout(g)

	// Apply positions
	return nodes.map(node => ({
		...node,
		position: {
			x: g.node(node.id).x - 100,
			y: g.node(node.id).y - 50,
		},
	}))
}

// Debounce layout calculations
const debouncedLayout = useMemo(() => debounce(applyLayout, 150), [])

Focus Mode

Isolate selected nodes and their direct connections:

const useFocusMode = (
	selectedNodeId: string,
	allNodes: Node[],
	allEdges: Edge[],
) => {
	return useMemo(() => {
		if (!selectedNodeId) return {nodes: allNodes, edges: allEdges}

		// Get direct connections
		const connectedNodeIds = new Set([selectedNodeId])
		const focusedEdges: Edge[] = []

		allEdges.forEach(edge => {
			if (edge.source === selectedNodeId || edge.target === selectedNodeId) {
				focusedEdges.push(edge)
				connectedNodeIds.add(edge.source)
				connectedNodeIds.add(edge.target)
			}
		})

		// Get connected nodes
		const focusedNodes = allNodes.filter(n => connectedNodeIds.has(n.id))

		return {nodes: focusedNodes, edges: focusedEdges}
	}, [selectedNodeId, allNodes, allEdges])
}

// Smooth transitions for focus mode
const focusModeStyles = {
	transition: 'all 0.3s ease-in-out',
	opacity: isInFocus ? 1 : 0.3,
	filter: isInFocus ? 'none' : 'blur(2px)',
}

Search Integration

Search and navigate to specific nodes:

const searchNodes = useCallback((nodes: Node[], query: string) => {
	if (!query.trim()) return []

	const lowerQuery = query.toLowerCase()
	return nodes.filter(
		node =>
			node.data.label.toLowerCase().includes(lowerQuery) ||
			node.data.description?.toLowerCase().includes(lowerQuery),
	)
}, [])

const navigateToSearchResult = (nodeId: string) => {
	// Expand parent nodes
	const nodePath = calculateBreadcrumbPath(nodeId, allNodes)
	const parentIds = nodePath.slice(0, -1).map(n => n.id)

	setExpandedIds(prev => new Set([...prev, ...parentIds]))
	setSelectedNodeId(nodeId)

	// Fit view to node
	fitView({nodes: [{id: nodeId}], duration: 800})
}

Performance Tools

Graph Performance Analyzer

Create a performance analysis script:

// scripts/graph-analyzer.js
class GraphAnalyzer {
	analyzeCode(content, filePath) {
		const analysis = {
			metrics: {
				nodeCount: this.countNodes(content),
				edgeCount: this.countEdges(content),
				renderTime: this.estimateRenderTime(content),
				memoryUsage: this.estimateMemoryUsage(content),
				complexity: this.calculateComplexity(content),
			},
			issues: [],
			optimizations: [],
			patterns: this.detectPatterns(content),
		}

		// Detect performance issues
		this.detectPerformanceIssues(analysis)

		// Suggest optimizations
		this.suggestOptimizations(analysis)

		return analysis
	}

	countNodes(content) {
		const nodePatterns = [
			/nodes:\s*\[.*?\]/gs,
			/const\s+\w+\s*=\s*\[.*?id:.*?position:/gs,
		]

		let totalCount = 0
		nodePatterns.forEach(pattern => {
			const matches = content.match(pattern)
			if (matches) {
				matches.forEach(match => {
					const nodeMatches = match.match(/id:\s*['"`][^'"`]+['"`]/g)
					if (nodeMatches) {
						totalCount += nodeMatches.length
					}
				})
			}
		})

		return totalCount
	}

	estimateRenderTime(content) {
		const nodeCount = this.countNodes(content)
		const edgeCount = this.countEdges(content)

		// Base render time estimation (ms)
		const baseTime = 5
		const nodeTime = nodeCount * 0.1
		const edgeTime = edgeCount * 0.05

		return baseTime + nodeTime + edgeTime
	}

	detectPerformanceIssues(analysis) {
		const {metrics} = analysis

		if (metrics.nodeCount > 500) {
			analysis.issues.push({
				type: 'HIGH_NODE_COUNT',
				severity: 'high',
				message: `Too many nodes (${metrics.nodeCount}). Consider virtualization.`,
				suggestion: 'Implement virtualization or reduce visible nodes',
			})
		}

		if (metrics.renderTime > 16) {
			analysis.issues.push({
				type: 'SLOW_RENDER',
				severity: 'high',
				message: `Render time (${metrics.renderTime.toFixed(2)}ms) exceeds 60fps.`,
				suggestion: 'Optimize with memoization and incremental rendering',
			})
		}
	}
}

Best Practices

Performance Guidelines

1. Use React.memo for node components to prevent unnecessary re-renders
2. Implement virtualization for graphs with 1000+ nodes
3. Debounce layout calculations during rapid interactions
4. Use useCallback for edge creation and manipulation functions
5. Implement proper TypeScript types for nodes and edges

Memory Management

// Use Map for O(1) lookups instead of array.find
const nodesById = useMemo(
	() => new Map(allNodes.map(n => [n.id, n])),
	[allNodes],
)

// Cache layout results
const layoutCacheRef = useRef<Map<string, Node[]>>(new Map())

// Proper cleanup in useEffect
useEffect(() => {
	return () => {
		// Clean up any lingering references
		nodesMapRef.current.clear()
		edgesMapRef.current.clear()
	}
}, [])

State Optimization

// Use useRef for objects that shouldn't trigger re-renders
const autoSaveDataRef = useRef({
	nodes: [],
	edges: [],
	lastSaved: Date.now(),
})

// Update properties without breaking reference
const updateAutoSaveData = (newNodes: Node[], newEdges: Edge[]) => {
	autoSaveDataRef.current.nodes = newNodes
	autoSaveDataRef.current.edges = newEdges
	autoSaveDataRef.current.lastSaved = Date.now()
}

Common Problems & Solutions

Performance Issues

• Problem: Lag during node expansion

• Solution: Implement incremental rendering with change detection

• Problem: Memory usage increases over time

• Solution: Proper cleanup in useEffect hooks and use WeakMap for temporary data

Layout Conflicts

• Problem: Manual positioning conflicts with auto-layout
• Solution: Use controlled positioning state and separate layout modes

Rendering Issues

• Problem: Excessive re-renders

• Solution: Use memo, useMemo, and useCallback with stable dependencies

• Problem: Slow layout calculations

• Solution: Debounce layout calculations and cache results

Complete Example

import React, { useState, useCallback, useMemo, useRef } from 'react';
import ReactFlow, { Node, Edge, useReactFlow } from 'reactflow';
import dagre from 'dagre';
import { debounce } from 'lodash';

interface GraphState {
  nodes: Node[];
  edges: Edge[];
  selectedNodeId: string | null;
  expandedNodeIds: Set<string>;
  history: GraphState[];
  historyIndex: number;
}

export default function InteractiveGraph() {
  const [state, setState] = useState<GraphState>({
    nodes: [],
    edges: [],
    selectedNodeId: null,
    expandedNodeIds: new Set(),
    history: [],
    historyIndex: 0,
  });

  const { fitView } = useReactFlow();
  const layoutCacheRef = useRef<Map<string, Node[]>>(new Map());

  // Memoized styled edges
  const styledEdges = useMemo(() => {
    return state.edges.map(edge => ({
      ...edge,
      style: {
        ...edge.style,
        strokeWidth: state.selectedNodeId === edge.source || state.selectedNodeId === edge.target ? 3 : 2,
        stroke: state.selectedNodeId === edge.source || state.selectedNodeId === edge.target ? '#3b82f6' : '#94a3b8',
      },
      animated: state.selectedNodeId === edge.source || state.selectedNodeId === edge.target,
    }));
  }, [state.edges, state.selectedNodeId]);

  // Debounced layout calculation
  const debouncedLayout = useMemo(
    () => debounce((nodes: Node[], edges: Edge[]) => {
      const cacheKey = generateLayoutCacheKey(nodes, edges);

      if (layoutCacheRef.current.has(cacheKey)) {
        return layoutCacheRef.current.get(cacheKey)!;
      }

      const layouted = applyDagreLayout(nodes, edges);
      layoutCacheRef.current.set(cacheKey, layouted);

      return layouted;
    }, 150),
    []
  );

  const handleNodeClick = useCallback((event: React.MouseEvent, node: Node) => {
    setState(prev => ({
      ...prev,
      selectedNodeId: node.id,
    }));
  }, []);

  const handleToggleExpand = useCallback((nodeId: string) => {
    setState(prev => {
      const newExpanded = new Set(prev.expandedNodeIds);
      if (newExpanded.has(nodeId)) {
        newExpanded.delete(nodeId);
      } else {
        newExpanded.add(nodeId);
      }

      return {
        ...prev,
        expandedNodeIds: newExpanded,
      };
    });
  }, []);

  return (
    <ReactFlow
      nodes={state.nodes}
      edges={styledEdges}
      onNodeClick={handleNodeClick}
      fitView
    />
  );
}

This comprehensive skill provides everything needed to build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management patterns.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.