react-flow-node-ts

Create React Flow node components with TypeScript types, handles, and Zustand integration. Use when building custom nodes for React Flow canvas, creating visual workflow editors, or implementing node-based UI components.

npx skills add https://github.com/microsoft/skills --skill react-flow-node-ts

React Flow Node

Create React Flow node components following established patterns with proper TypeScript types and store integration.

Quick Start

Copy templates from assets/ and replace placeholders:

  • {{NodeName}} → PascalCase component name (e.g., VideoNode)
  • {{nodeType}} → kebab-case type identifier (e.g., video-node)
  • {{NodeData}} → Data interface name (e.g., VideoNodeData)

Templates

Node Component Pattern

export const MyNode = memo(function MyNode({
  id,
  data,
  selected,
  width,
  height,
}: MyNodeProps) {
  const updateNode = useAppStore((state) => state.updateNode);
  const canvasMode = useAppStore((state) => state.canvasMode);
  
  return (
    <>
      <NodeResizer isVisible={selected && canvasMode === 'editing'} />
      <div className="node-container">
        <Handle type="target" position={Position.Top} />
        {/* Node content */}
        <Handle type="source" position={Position.Bottom} />
      </div>
    </>
  );
});

Type Definition Pattern

export interface MyNodeData extends Record<string, unknown> {
  title: string;
  description?: string;
}

export type MyNode = Node<MyNodeData, 'my-node'>;

Integration Steps

  1. Add type to src/frontend/src/types/index.ts
  2. Create component in src/frontend/src/components/nodes/
  3. Export from src/frontend/src/components/nodes/index.ts
  4. Add defaults in src/frontend/src/store/app-store.ts
  5. Register in canvas nodeTypes
  6. Add to AddBlockMenu and ConnectMenu

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development