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build-realtime-channel

Architect stateful realtime channels with WebSocket or SSE protocols.

9|3|Updated Jun 13, 2026
Search Tags:#scalability#backend#realtime#sse#websocket#pubsub
One-click install
npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill build-realtime-channel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-realtime-channel
Source: https://github.com/Sir-chawakorn/sanook-cli/tree/main/skills/build-realtime-channel
Command: npx skills add https://github.com/Sir-chawakorn/sanook-cli --skill build-realtime-channel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of building reliable, high-scale realtime communication channels, preventing common pitfalls like connection leaks, message loss, and thundering herd issues during deployments.

Core Features & Use Cases

  • Transport Selection: Expert guidance on choosing between WebSocket, SSE, and long-poll based on directionality and latency requirements.
  • Resilience & Scale: Implements heartbeat mechanisms, zombie eviction, and horizontal scaling via pub/sub backplanes (Redis/NATS).
  • Data Integrity: Provides patterns for sequence-numbered message recovery and at-least-once delivery guarantees.
  • Use Case: Building a collaborative dashboard or chat system that must remain synchronized across multiple server nodes without dropping messages or leaking memory.

Quick Start

Use the build-realtime-channel skill to design a WebSocket architecture that includes heartbeat monitoring and sequence-based message recovery for a live chat application.

Frequently Asked Questions about build-realtime-channel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scale WebSocket connections horizontally across multiple server nodes?▼

To scale WebSocket connections horizontally, use a pub/sub backplane like Redis or NATS to broadcast messages across server nodes. This ensures synchronized message delivery to clients connected to different instances without dropping messages.

What is the best way to choose between WebSocket and SSE for realtime data streaming?▼

Choosing between WebSocket and SSE depends on directionality and latency requirements. Use WebSocket for bidirectional communication and SSE for server-to-client streaming where lower overhead is needed.

Why do I need heartbeat mechanisms and zombie eviction for realtime channels?▼

Heartbeat mechanisms and zombie eviction are needed to prevent connection leaks and memory exhaustion. They monitor active connections and terminate idle or dead sessions to maintain system resilience.

How do I prevent message loss during server deployments with realtime connections?▼

To prevent message loss during deployments, implement graceful connection draining alongside sequence-numbered message recovery. This allows clients to reconnect and fetch any missed messages using sequence identifiers.

Can I use long-polling instead of WebSocket or SSE for my realtime application?▼

Yes, long-polling can be used instead of WebSocket or SSE, but it is generally selected when bidirectional WebSockets or unidirectional SSE are not viable due to network or infrastructure constraints.

How does sequence-numbered message recovery work in a distributed realtime system?▼

Sequence-numbered message recovery works by assigning a unique sequence identifier to each message. If a client disconnects, it requests messages after its last known sequence number to restore synchronization without data loss.

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