Implication: Core logic is framework-agnostic. When contributing or debugging, check if issue is in @xyflow/system or framework-specific package.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreact-flow-architectureExecute the skills CLI command in your project's root directory to begin installation:
Fetches react-flow-architecture from existential-birds/beagle and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate react-flow-architecture. Access via /react-flow-architecture in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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@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.
// 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
// 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
// Connect via selectors
const nodes = useSelector(selectNodes);
const dispatch = useDispatch();
const onNodesChange = useCallback((changes: NodeChange[]) => {
dispatch(nodesChanged(changes));
}, [dispatch]);
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
// 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:
extent: 'parent' to constrain draggingexpandParent: true to auto-expand parent// 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);
};
// 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: JSONImplementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Frontendsame categoryReviews
4.5★★★★★39 reviews- AAisha Torres★★★★★Dec 28, 2024
react-flow-architecture fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- OOlivia Huang★★★★★Dec 20, 2024
I recommend react-flow-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AAlexander Harris★★★★★Dec 20, 2024
react-flow-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.
- CCarlos Srinivasan★★★★★Dec 16, 2024
react-flow-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.
- SSophia Thompson★★★★★Nov 19, 2024
react-flow-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAlexander Zhang★★★★★Nov 11, 2024
Registry listing for react-flow-architecture matched our evaluation — installs cleanly and behaves as described in the markdown.
- CCarlos White★★★★★Nov 7, 2024
Solid pick for teams standardizing on skills: react-flow-architecture is focused, and the summary matches what you get after install.
- AAisha Shah★★★★★Oct 26, 2024
react-flow-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- SSofia Khanna★★★★★Oct 10, 2024
Solid pick for teams standardizing on skills: react-flow-architecture is focused, and the summary matches what you get after install.
- AAlexander Smith★★★★★Oct 2, 2024
Useful defaults in react-flow-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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