implementing-realtime-sync Pass

Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer video/audio), CRDTs (Yjs, Automerge for conflict-free collaboration), presence patterns, offline sync, and scaling strategies. Supports Python, Rust, Go, and TypeScript.

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Install globally (user-level):

npx skillhub install ancoleman/ai-design-components/implementing-realtime-sync

Install in current project:

npx skillhub install ancoleman/ai-design-components/implementing-realtime-sync --project

Suggested path: ~/.claude/skills/implementing-realtime-sync/

AI Review

82
out of 100
Instruction Quality85
Description Precision82
Usefulness81
Technical Soundness78

Scored 82 — exceptional real-time sync skill with runnable backend/frontend example plus 5 comprehensive reference docs totaling ~82KB. The protocol decision tree alone is highly valuable. Works as both a quick-start and deep reference. Comparable to the csv-data-pipeline calibration example in execution quality. The LLM streaming focus is timely and the CRDT coverage is rare.

productionmoderatefrontend-devsbackend-devsfull-stack-devsrealtime-syncsse-streamingwebsocketllm-streamingcollaborationpresence
Reviewed by claude-code on 5/10/2026

SKILL.md Content

---
name: implementing-realtime-sync
description: Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer video/audio), CRDTs (Yjs, Automerge for conflict-free collaboration), presence patterns, offline sync, and scaling strategies. Supports Python, Rust, Go, and TypeScript.
---

# Real-Time Sync

Implement real-time communication for live updates, collaboration, and presence awareness across applications.

## When to Use

Use this skill when building:

- **LLM streaming interfaces** - Stream tokens progressively (ai-chat integration)
- **Live dashboards** - Push metrics and updates to clients
- **Collaborative editing** - Multi-user document/spreadsheet editing with CRDTs
- **Chat applications** - Real-time messaging with presence
- **Multiplayer features** - Cursor tracking, live updates, presence awareness
- **Offline-first apps** - Mobile/PWA with sync-on-reconnect

## Protocol Selection Framework

Choose the transport protocol based on communication pattern:

### Decision Tree

```
ONE-WAY (Server → Client only)
├─ LLM streaming, notifications, live feeds
└─ Use SSE (Server-Sent Events)
   ├─ Automatic reconnection (browser-native)
   ├─ Event IDs for resumption
   └─ Simple HTTP implementation

BIDIRECTIONAL (Client ↔ Server)
├─ Chat, games, collaborative editing
└─ Use WebSocket
   ├─ Manual reconnection required
   ├─ Binary + text support
   └─ Lower latency for two-way

COLLABORATIVE EDITING
├─ Multi-user documents/spreadsheets
└─ Use WebSocket + CRDT (Yjs or Automerge)
   ├─ CRDT handles conflict resolution
   ├─ WebSocket for transport
   └─ Offline-first with sync

PEER-TO-PEER MEDIA
├─ Video, screen sharing, voice calls
└─ Use WebRTC
   ├─ WebSocket for signaling
   ├─ Direct P2P connection
   └─ STUN/TURN for NAT traversal
```

### Protocol Comparison

| Protocol | Direction | Reconnection | Complexity | Best For |
|----------|-----------|--------------|------------|----------|
| SSE | Server → Client | Automatic | Low | Live feeds, LLM streaming |
| WebSocket | Bidirectional | Manual | Medium | Chat, games, collaboration |
| WebRTC | P2P | Complex | High | Video, screen share, voice |

## Implementation Patterns

### Pattern 1: LLM Streaming with SSE

Stream LLM tokens progressively to frontend (ai-chat integration).

**Python (FastAPI):**
```python
from sse_starlette.sse import EventSourceResponse

@app.post("/chat/stream")
async def stream_chat(prompt: str):
    async def generate():
        async for chunk in llm_stream:
            yield {"event": "token", "data": chunk.content}
        yield {"event": "done", "data": "[DONE]"}
    return EventSourceResponse(generate())
```

**Frontend:**
```typescript
const es = new EventSource('/chat/stream')
es.addEventListener('token', (e) => appendToken(e.data))
```

Reference `references/sse.md` for full implementations, reconnection, and event ID resumption.

### Pattern 2: WebSocket Chat

Bidirectional communication for chat applications.

**Python (FastAPI):**
```python
connections: set[WebSocket] = set()

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    connections.add(websocket)
    try:
        while True:
            data = await websocket.receive_text()
            for conn in connections:
                await conn.send_text(data)
    except WebSocketDisconnect:
        connections.remove(websocket)
```

Reference `references/websockets.md` for multi-language examples, authentication, heartbeats, and scaling.

### Pattern 3: Collaborative Editing with CRDTs

Conflict-free multi-user editing using Yjs.

**TypeScript (Yjs):**
```typescript
import * as Y from 'yjs'
import { WebsocketProvider } from 'y-websocket'

const doc = new Y.Doc()
const provider = new WebsocketProvider('ws://localhost:1234', 'doc-id', doc)
const ytext = doc.getText('content')

ytext.observe(event => console.log('Changes:', event.changes))
ytext.insert(0, 'Hello collaborative world!')
```

Reference `references/crdts.md` for conflict resolution, Yjs vs Automerge, and advanced patterns.

### Pattern 4: Presence Awareness

Track online users, cursor positions, and typing indicators.

**Yjs Awareness API:**
```typescript
const awareness = provider.awareness
awareness.setLocalState({ user: { name: 'Alice' }, cursor: { x: 100, y: 200 } })
awareness.on('change', () => {
  awareness.getStates().forEach((state, clientId) => {
    renderCursor(state.cursor, state.user)
  })
})
```

Reference `references/presence-patterns.md` for cursor tracking, typing indicators, and online status.

### Pattern 5: Offline Sync (Mobile/PWA)

Queue mutations locally and sync when connection restored.

**TypeScript (Yjs + IndexedDB):**
```typescript
import { IndexeddbPersistence } from 'y-indexeddb'
import { WebsocketProvider } from 'y-websocket'

const doc = new Y.Doc()
const indexeddbProvider = new IndexeddbPersistence('my-doc', doc)
const wsProvider = new WebsocketProvider('wss://api.example.com/sync', 'my-doc', doc)

wsProvider.on('status', (e) => {
  console.log(e.status === 'connected' ? 'Online' : 'Offline')
})
```

Reference `references/offline-sync.md` for conflict resolution and sync strategies.

## Library Recommendations

### Python

**WebSocket:**
- `websockets 13.x` - AsyncIO-based, production-ready
- `FastAPI WebSocket` - Built-in, dependency injection
- `Flask-SocketIO` - Socket.IO protocol with fallbacks

**SSE:**
- `sse-starlette` - FastAPI/Starlette, async, generator-based
- `Flask-SSE` - Redis backend for pub/sub

### Rust

**WebSocket:**
- `tokio-tungstenite 0.23` - Tokio integration, production-ready
- `axum WebSocket` - Built-in extractors, tower middleware

**SSE:**
- `axum SSE` - Native support, async streams

### Go

**WebSocket:**
- `gorilla/websocket` - Battle-tested, compression support
- `nhooyr/websocket` - Modern API, context support

**SSE:**
- `net/http` (native) - Flusher interface, no dependencies

### TypeScript

**WebSocket:**
- `ws` - Native WebSocket server, lightweight
- `Socket.io 4.x` - Auto-reconnect, fallbacks, rooms
- `Hono WebSocket` - Edge runtime (Cloudflare Workers, Deno)

**SSE:**
- `EventSource` (native) - Browser-native, automatic retry
- Node.js `http` (native) - Server-side, no dependencies

**CRDT:**
- `Yjs` - Mature, TypeScript/Rust, rich text editing
- `Automerge` - Rust/JS, JSON-like data, time-travel

## Reconnection Strategies

**SSE:** Browser's EventSource handles reconnection automatically with exponential backoff.
**WebSocket:** Implement manual exponential backoff with jitter to prevent thundering herd.

Reference `references/sse.md` and `references/websockets.md` for complete implementation patterns.

## Security Patterns

**Authentication:** Use cookie-based (same-origin) or token in Sec-WebSocket-Protocol header.
**Rate Limiting:** Implement per-user message throttling with sliding window.

Reference `references/websockets.md` for authentication and rate limiting implementations.

## Scaling with Redis Pub/Sub

For horizontal scaling, use Redis pub/sub to broadcast messages across multiple backend servers.

Reference `references/websockets.md` for complete Redis scaling implementation.

## Frontend Integration

### React Hooks Pattern

**SSE for LLM Streaming (ai-chat):**
```typescript
useEffect(() => {
  const es = new EventSource(`/api/chat/stream?prompt=${prompt}`)
  es.addEventListener('token', (e) => setContent(prev => prev + e.data))
  return () => es.close()
}, [prompt])
```

**WebSocket for Live Metrics (dashboards):**
```typescript
useEffect(() => {
  const ws = new WebSocket('ws://localhost:8000/metrics')
  ws.onmessage = (e) => setMetrics(JSON.parse(e.data))
  return () => ws.close()
}, [])
```

**Yjs for Collaborative Tables:**
```typescript
useEffect(() => {
  const doc = new Y.Doc()
  const provider = new WebsocketProvider('ws://localhost:1234', docId, doc)
  const yarray = doc.getArray('rows')
  yarray.observe(() => setRows(yarray.toArray()))
  return () => provider.destroy()
}, [docId])
```

## Reference Documentation

For detailed implementation patterns, consult:

- `references/sse.md` - SSE protocol, reconnection, event IDs
- `references/websockets.md` - WebSocket auth, heartbeats, scaling
- `references/crdts.md` - Yjs vs Automerge, conflict resolution
- `references/presence-patterns.md` - Cursor tracking, typing indicators
- `references/offline-sync.md` - Mobile patterns, conflict strategies

## Example Projects

Working implementations available in:

- `examples/llm-streaming-sse/` - FastAPI SSE for LLM streaming (RUNNABLE)
- `examples/chat-websocket/` - Python FastAPI + TypeScript chat
- `examples/collaborative-yjs/` - Yjs collaborative editor

## Testing Tools

Use scripts to validate implementations:

- `scripts/test_websocket_connection.py` - WebSocket connection testing

License

Declared license: MIT

MIT License

Copyright (c) 2026 ancoleman

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

View the license in the source repositorythe version published there is authoritative.