react-flow-architect
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 optimize ReactFlow applications for: (1) Interactive process graphs with expand/collapse navigation, (2) Hierarchical tree structures with drag & drop, (3) Performance-optimized large datasets with incremental rendering, (4) Auto-layout integration with Dagre, (5) Complex state management for nodes and edges, or any advanced ReactFlow visualization requirements.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/react-flow-architect/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How react-flow-architect Compares
| Feature / Agent | react-flow-architect | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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 optimize ReactFlow applications for: (1) Interactive process graphs with expand/collapse navigation, (2) Hierarchical tree structures with drag & drop, (3) Performance-optimized large datasets with incremental rendering, (4) Auto-layout integration with Dagre, (5) Complex state management for nodes and edges, or any advanced ReactFlow visualization requirements.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ReactFlow Architect
Build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management.
## Quick Start
Create basic interactive graph:
```tsx
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
```typescript
interface TreeNode extends Node {
data: {
label: string;
level: number;
hasChildren: boolean;
isExpanded: boolean;
childCount: number;
category: "root" | "category" | "process" | "detail";
};
}
```
#### Incremental Node Building
```typescript
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
```typescript
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
```typescript
// 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
```typescript
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
```typescript
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:
```typescript
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:
```typescript
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:
```typescript
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:
```javascript
// 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
```typescript
// 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
```typescript
// 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
```typescript
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.