jpskill.com
🛠️ 開発・MCP コミュニティ 🔴 エンジニア向け 👤 エンジニア・AI開発者

🛠️ ReactフローArchitect

react-flow-architect

階層的な画面遷移や高速化、

⏱ ボイラープレート実装 半日 → 30分

📺 まず動画で見る(YouTube)

▶ 【衝撃】最強のAIエージェント「Claude Code」の最新機能・使い方・プログラミングをAIで効率化する超実践術を解説! ↗

※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。

📜 元の英語説明(参考)

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

🇯🇵 日本人クリエイター向け解説

一言でいうと

階層的な画面遷移や高速化、

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o react-flow-architect.zip https://jpskill.com/download/3360.zip && unzip -o react-flow-architect.zip && rm react-flow-architect.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/3360.zip -OutFile "$d\react-flow-architect.zip"; Expand-Archive "$d\react-flow-architect.zip" -DestinationPath $d -Force; ri "$d\react-flow-architect.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して react-flow-architect.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → react-flow-architect フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
1

💬 こう話しかけるだけ — サンプルプロンプト

  • React Flow Architect を使って、最小構成のサンプルコードを示して
  • React Flow Architect の主な使い方と注意点を教えて
  • React Flow Architect を既存プロジェクトに組み込む方法を教えて

これをClaude Code に貼るだけで、このSkillが自動発動します。

📖 Skill本文(日本語訳)

※ 原文(英語/中国語)を Gemini で日本語化したものです。Claude 自身は原文を読みます。誤訳がある場合は原文をご確認ください。

ReactFlow Architect

階層的なナビゲーション、パフォーマンス最適化、高度な状態管理を備えた、本番環境に対応したReactFlowアプリケーションを構築します。

クイックスタート

基本的なインタラクティブグラフを作成します。

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} />;
}

コアパターン

階層ツリーナビゲーション

親子関係を持つ展開/折りたたみ可能なツリー構造を構築します。

ノードスキーマ

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

インクリメンタルノード構築

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()),
    };
  },
  [],
);

パフォーマンス最適化

インクリメンタルレンダリングとメモ化により、大規模なデータセットを処理します。

インクリメンタルレンダリング

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 };
};

メモ化パターン

// 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]);

状態管理

元に戻す/やり直しと永続化を備えた複雑なノード/エッジの状態パターン。

リデューサーパターン

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;
  }
};

履歴管理

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 };
};

高度な機能

自動レイアウト統合

Dagreを統合してグラフを自動レイアウトします。

import dagre from "dagr
📜 原文 SKILL.md(Claudeが読む英語/中国語)を展開

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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.