implementing-realtime-sync_skill

This skill helps you implement real-time sync patterns across SSE, WebSocket, CRDTs, and presence to build collaborative apps efficiently.
  • Python

291

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill ancoleman/ai-design-components --skill implementing-realtime-sync

  • outputs.yaml8.2 KB
  • SKILL.md8.9 KB

Overview

This skill teaches real-time communication patterns for live updates, collaboration, and presence across web and mobile apps. It covers protocol selection (SSE, WebSocket, WebRTC), CRDT-based collaboration (Yjs/Automerge), presence and offline sync, and practical scaling and security strategies. Examples and code patterns are provided for Python, Rust, Go, and TypeScript.

How this skill works

It maps common real-time use cases to the right transport: SSE for one-way streams and LLM token streaming, WebSocket for bidirectional messaging and low-latency updates, WebRTC for peer-to-peer media, and CRDTs for conflict-free multi-user editing. The skill provides implementation patterns, reconnection and offline-sync strategies, presence APIs, and scaling patterns (Redis pub/sub) with language-specific library recommendations. Practical frontend integrations (React hooks, EventSource, WebSocket, Yjs) show end-to-end flows.

When to use it

  • Stream LLM tokens or server-driven live feeds to browsers (SSE).
  • Build bidirectional chat, game state, or collaboration channels (WebSocket).
  • Implement peer-to-peer audio/video or screen sharing (WebRTC with signaling).
  • Create multi-user editable documents/spreadsheets requiring conflict resolution (CRDTs like Yjs or Automerge).
  • Support mobile/PWA offline-first apps with local queueing and sync-on-reconnect.

Best practices

  • Choose protocol by communication pattern—one-way (SSE), bidirectional (WebSocket), peer media (WebRTC).
  • Use CRDTs when concurrent edits must merge seamlessly; combine with WebSocket transport for real-time sync.
  • Implement exponential backoff with jitter for WebSocket reconnection; rely on EventSource for SSE backoff and event-id resumption.
  • Protect channels with authentication (cookies or token headers), apply per-user rate limits and heartbeats to detect stale connections.
  • Scale horizontally using a central pub/sub (Redis) to broadcast messages across backend instances.

Example use cases

  • LLM chat UI that streams tokens to the browser using SSE and resumes with event IDs.
  • Real-time chat or multiplayer lobby using WebSocket server, heartbeat, and reconnect logic.
  • Collaborative editor using Yjs + WebsocketProvider with awareness API for cursors and typing indicators.
  • Mobile PWA that persists edits in IndexedDB and syncs via CRDTs when connectivity returns.
  • Video call feature using WebRTC for media with WebSocket signaling and TURN for NAT traversal.

FAQ

Use SSE for simple server-to-client streams like LLM token streaming or live feeds; it’s lower complexity and browser-native reconnection. Choose WebSocket when the client must send frequent messages or require full-duplex low-latency communication.

Do CRDTs require a special transport?

No—CRDTs are transport-agnostic. Common practice is to use WebSocket for low-latency propagation and IndexedDB for offline persistence; Yjs offers providers for this pattern.

How do I scale real-time servers horizontally?

Use a centralized message bus (Redis pub/sub or similar) to broadcast events across instances, and keep connection state minimal or in a shared store to enable load distribution.

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implementing-realtime-sync skill by ancoleman/ai-design-components | VeilStrat