How to use Websocket Engineer in Claude Code for Beginners

Feb 14, 2026

Purpose

This post demonstrates how to use the Websocket Engineer skill in Claude Code to build real-time, bidirectional communication systems.

I’m a developer who works with API architecture. When I need to implement WebSocket connections, I found the Websocket Engineer skill helps me design the architecture, handle connection lifecycle, and implement proper error handling.

Environment

Claude Code with claude-skills plugin
Node.js or Python backend
WebSocket-enabled clients (browser, mobile)
Basic understanding of HTTP protocols

What is Websocket Engineer?

Websocket Engineer is a specialized skill in the claude-skills ecosystem that focuses on WebSocket-based API architecture. It provides patterns for:

Connection management and lifecycle
Message format design
Scaling strategies
Error handling and reconnection logic
Security considerations (authentication, authorization)

The skill is designed for developers who need real-time features in their applications: live updates, chat systems, collaborative tools, or streaming data.

Installation and Setup

First, I installed the claude-skills plugin in my Claude Code configuration:

{
  "skillsPath": "~/.claude/skills",
  "enabledSkills": [
    "websocket-engineer"
  ]
}

Then I verified the installation:

# List available skills
ls ~/.claude/skills/

# You should see websocket-engineer directory

Core Usage Patterns

I trigger the Websocket Engineer skill in several ways:

Direct invocation:

Use websocket-engineer to design a real-time notification system

Contextual triggers:

“I need to build a WebSocket server for…”
“How should I handle WebSocket reconnection…”
“Design the message format for…”

Problem-specific:

“My WebSocket connections keep dropping…”
“How do I scale WebSocket servers…” The skill activates and provides architecture guidance based on my specific needs.

Example 1: Building a Notification System

When I needed to build a real-time notification system, I invoked:

Use websocket-engineer to design a WebSocket notification system for 10k concurrent users

The skill guided me through:

1. Server Architecture

const WebSocket = require('ws');
const Redis = require('redis');

// Redis adapter for horizontal scaling
const redisClient = Redis.createClient();

const wss = new WebSocket.Server({
  port: 8080,
  perMessageDeflate: false // Disable compression for performance
});

// Connection tracking
const connections = new Map();

wss.on('connection', (ws, req) => {
  const userId = parseUserId(req);

  connections.set(userId, ws);

  // Heartbeat mechanism
  ws.isAlive = true;
  ws.on('pong', () => { ws.isAlive = true; });

  ws.on('message', (message) => {
    // Handle incoming messages
    handleMessage(userId, message);
  });

  ws.on('close', () => {
    connections.delete(userId);
  });
});

2. Message Format Design

The skill recommended this structure:

{
  "type": "notification",
  "id": "uuid-v4",
  "timestamp": 1705214400,
  "data": {
    "title": "New message",
    "body": "You have a new message",
    "priority": "high"
  },
  "meta": {
    "version": "1.0",
    "source": "notification-service"
  }
}

I can explain the key parts:

type: Message category for routing
id: Unique identifier for deduplication
timestamp: For ordering and replay
meta: Version and source for compatibility

3. Reconnection Strategy

class WebSocketClient {
  constructor(url) {
    this.url = url;
    this.reconnectAttempts = 0;
    this.maxReconnectAttempts = 5;
    this.reconnectDelay = 1000;
  }

  connect() {
    this.ws = new WebSocket(this.url);

    this.ws.on('open', () => {
      this.reconnectAttempts = 0;
      console.log('Connected');
    });

    this.ws.on('close', () => {
      this.reconnect();
    });
  }

  reconnect() {
    if (this.reconnectAttempts < this.maxReconnectAttempts) {
      this.reconnectAttempts++;
      const delay = this.reconnectDelay * Math.pow(2, this.reconnectAttempts);

      setTimeout(() => {
        this.connect();
      }, delay);
    }
  }
}

Example 2: Handling Connection Drops

I had a problem where connections would drop after 60 seconds of inactivity. I tried:

// First attempt: No keepalive
const wss = new WebSocket.Server({ port: 8080 });

But connections still dropped. The skill suggested implementing a heartbeat mechanism:

// Server-side heartbeat
const interval = setInterval(() => {
  wss.clients.forEach((ws) => {
    if (ws.isAlive === false) {
      return ws.terminate();
    }

    ws.isAlive = false;
    ws.ping();
  });
}, 30000);

// Client-side response to ping
ws.on('ping', () => {
  ws.pong();
});

I tested again:

# Connection stays alive
wscat -c ws://localhost:8080
# Connection maintained beyond 60 seconds

You can see that I succeeded to keep connections alive with 30-second heartbeat intervals.

Example 3: Scaling with Redis Pub/Sub

When I needed to scale beyond a single server, I used Redis pub/sub:

const redis = require('redis');
const subscriber = redis.createClient();
const publisher = redis.createClient();

// Subscribe to messages from other servers
subscriber.subscribe('notifications');

subscriber.on('message', (channel, message) => {
  // Broadcast to all connected clients on this server
  wss.clients.forEach((client) => {
    if (client.readyState === WebSocket.OPEN) {
      client.send(message);
    }
  });
});

// Publish message when sending to a client
function broadcast(message) {
  // Send to local clients
  wss.clients.forEach((client) => {
    client.send(JSON.stringify(message));
  });

  // Publish to other servers
  publisher.publish('notifications', JSON.stringify(message));
}

This pattern allows horizontal scaling. Each WebSocket server handles its local connections and uses Redis to coordinate messages across servers.

Best Practices

DO

1. Use heartbeat/ping-pong

Detect dead connections early
Keep connections alive through load balancers
Typical interval: 30 seconds

2. Implement exponential backoff

const delay = baseDelay * Math.pow(2, attempt));

Prevents server overload during outages
Gradual reconnection attempts

3. Validate message format

function validateMessage(message) {
  const schema = {
    type: 'string',
    id: 'string',
    timestamp: 'number',
    data: 'object'
  };
  // Validation logic
}

Prevent malformed data
Version your message format

4. Handle authentication properly

Authenticate on WebSocket upgrade
Validate tokens on connection
Re-authenticate on reconnection

5. Monitor connection metrics

Active connections
Messages per second
Error rates
Reconnection frequency

DON’T

1. Don’t disable compression blindly

// Only disable for high-throughput scenarios
perMessageDeflate: false

Compression saves bandwidth
Disable only after measuring performance impact

2. Don’t ignore connection limits

Set reasonable max connections per server
Monitor memory usage
Implement backpressure

3. Don’t send large messages

Fragment large payloads
Use compression
Consider alternative protocols (HTTP streaming)

4. Don’t forget error handling

ws.on('error', (error) => {
  logger.error('WebSocket error:', error);
  // Graceful degradation
});

5. Don’t use WebSocket for everything

Use HTTP for one-off requests
WebSocket adds complexity
Real-time only when needed

Common Patterns

Authentication Flow

Client ──HTTP POST──→ Auth Server
    ←─ JWT Token ──
    │
    └─WebSocket Upgrade (Token)
         │
         ▼
    WebSocket Server (Validates Token)
         │
         ├� Valid → Connection Accepted
         └─ Invalid → Connection Rejected

Message Broadcasting

Service A ──┐
Service B ──┼──→ Redis Pub/Sub ──→ WebSocket Servers ──→ Clients
Service C ──┘

The Websocket Engineer works well with other skills:

backend-patterns: API design, error handling
springboot-patterns: WebSocket configuration in Spring Boot
security-review: Authentication and security best practices

Summary

In this post, I showed how to use the Websocket Engineer skill in Claude Code to build real-time communication systems. The key point is that the skill provides architectural guidance, connection management patterns, and scalability strategies for WebSocket-based APIs.

I covered installation, core usage patterns, three practical examples (notification system, connection drops, scaling with Redis), and best practices. The skill helps beginners design robust WebSocket architectures without needing deep expertise in real-time systems.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!