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redis-patterns

Implement Redis patterns for caching, sessions, rate limiting, pub/sub, and distributed locks.

5|Updated Dec 31, 2025
Search Tags:#caching#redis#rate-limiting#pubsub#leaderboard#session-storage#distributed-locks
One-click install
npx skills add https://github.com/patricio0312rev/skillset --skill redis-patterns-patricio0312rev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: redis-patterns
Source: https://github.com/patricio0312rev/skillset/tree/main/templates/performance/redis-patterns
Command: npx skills add https://github.com/patricio0312rev/skillset --skill redis-patterns-patricio0312rev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Implements production-ready Redis pattern implementations for caching, sessions, rate limiting, pub/sub, and distributed locks with best practices, helping teams standardize robust Redis usage.

Core Features & Use Cases

  • Caching pattern for fast, TTL-bound data storage with automatic refresh and invalidation.
  • Session storage to manage user sessions with expiration and cross-process coordination.
  • Rate limiting using fixed window, sliding window, and token bucket strategies to protect APIs.
  • Pub/Sub pattern for real-time messaging and event-driven architectures.
  • Distributed locks for safe coordination across distributed workers and services.
  • Leaderboard support via sorted sets for ranking and competitive features.

Quick Start

Configure your Redis client and start using the redis-patterns to enable caching, sessions, and rate limiting in your application.

Frequently Asked Questions about redis-patterns

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

FAQPage Schema
How do I implement distributed locks in Redis for multi-process coordination?▼

Distributed locks in Redis coordinate distributed workers safely by utilizing atomic operations via Lua scripts and clear naming conventions to ensure scalable and concurrent usage.

What is the best way to build a rate limiter in Redis for API protection?▼

Redis rate limiting protects APIs using fixed window, sliding window, and token bucket strategies, applying atomic operations to ensure accurate throttling under high-throughput conditions.

How does Redis handle session storage with automatic expiration?▼

Redis session storage manages user sessions with TTL management for automatic expiration and cross-process coordination, ensuring active sessions persist while inactive ones are safely cleared.

Can I use Redis pub/sub for real-time event-driven messaging?▼

Redis pub/sub enables real-time messaging and event-driven architectures by delivering messages to subscribers immediately, supporting high-throughput data access across distributed systems.

How do I create a leaderboard in Redis for ranking features?▼

Redis leaderboards use sorted sets to manage ranking and competitive features, providing fast data access and automatic ordering for high-throughput backend services.

Does Redis caching support automatic refresh and data invalidation?▼

Redis caching provides fast, TTL-bound data storage with automatic refresh and invalidation, utilizing robust connection handling to ensure safe and scalable usage.

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