Best use case
socketio is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Socket.io rooms, namespaces, adapters, middleware, and real-time patterns.
Teams using socketio should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/socketio/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How socketio Compares
| Feature / Agent | socketio | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Socket.io rooms, namespaces, adapters, middleware, and real-time patterns.
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
# Socket.io Skill
Expert assistance for building real-time applications with Socket.io.
## Capabilities
- Configure Socket.io server
- Implement rooms and namespaces
- Use Redis adapter for scaling
- Handle authentication middleware
- Build event-driven patterns
- Implement acknowledgements
## Usage
Invoke this skill when you need to:
- Build real-time applications
- Implement chat rooms
- Scale WebSocket servers
- Handle complex event patterns
## Server Setup
```typescript
import { Server } from 'socket.io';
import { createAdapter } from '@socket.io/redis-adapter';
import { createClient } from 'redis';
const io = new Server(httpServer, {
cors: { origin: '*' },
});
// Redis adapter for scaling
const pubClient = createClient({ url: process.env.REDIS_URL });
const subClient = pubClient.duplicate();
io.adapter(createAdapter(pubClient, subClient));
// Authentication middleware
io.use((socket, next) => {
const token = socket.handshake.auth.token;
try {
socket.user = verifyToken(token);
next();
} catch {
next(new Error('Authentication failed'));
}
});
// Namespaces
const chatNamespace = io.of('/chat');
chatNamespace.on('connection', (socket) => {
socket.on('join-room', (roomId) => {
socket.join(roomId);
socket.to(roomId).emit('user-joined', socket.user);
});
socket.on('message', ({ roomId, content }) => {
io.to(roomId).emit('message', {
user: socket.user,
content,
timestamp: Date.now(),
});
});
});
```
## Best Practices
- Use namespaces for separation
- Implement rooms for grouping
- Scale with Redis adapter
- Handle disconnection gracefully
## Target Processes
- real-time-application
- chat-implementation
- collaborative-featuresRelated Skills
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