redis-patterns

What problem does it solve?

Handling Redis-based caching, session management, and real-time state across distributed Node.js services can be error-prone and hard to scale. This Skill provides patterns for key naming, TTL strategies, and Redis data structures to ensure consistent, performant state management.

Core Features & Use Cases

• Redis Key Design Best Practices: naming conventions, namespace hygiene, and maintenance tips for long-lived vs ephemeral data.
• Data Structure Guidance: when to use strings, hashes, sorted sets, and Pub/Sub channels for real-time updates and session data.
• Use Case Scenarios: implementing per-room game state, rate-limiting, and cross-instance messaging with Redis backplane.

Quick Start

Apply Redis naming patterns and TTL strategies described here to organize caching, sessions, and real-time state in your Node.js/TypeScript backend.