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redis-cache

Implement Redis cache-aside patterns with TTL and database fallback.

1|1|Updated Mar 26, 2026
Search Tags:#caching#redis#session#rate-limiting#cache-aside#pubsub#lua-scripts
One-click install
npx skills add https://github.com/PedroHBO/opencode-config-skills --skill redis-cache-pedrohbo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: redis-cache
Source: https://github.com/PedroHBO/opencode-config-skills/tree/main/skills/redis-cache
Command: npx skills add https://github.com/PedroHBO/opencode-config-skills --skill redis-cache-pedrohbo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires redis, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Redis caching solves the problem of excessive database load and higher latency by keeping hot data in memory for fast reads.

Core Features & Use Cases

  • Cache-aside and write-through patterns to optimize data access with TTL-aware invalidation.
  • Session management with Redis-backed storage, fast lookups, and TTL-based expiration.
  • Rate limiting, pub/sub messaging, and data structure usage (hashes, lists, sorted sets) for real-time apps.
  • Lua scripting support for atomic operations to enforce invariants.

Quick Start

Activate the redis-cache skill and implement a cache-aside pattern with Redis connection, TTL, and database fallback.

Frequently Asked Questions about redis-cache

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

FAQPage Schema
How do I implement a Redis cache-aside pattern for database reads?▼

To implement a Redis cache-aside pattern, you query the in-memory cache first and fall back to the primary database on misses, writing the retrieved data back to Redis with a TTL to optimize data access and reduce database load.

How does Redis handle session management and expiration for web apps?▼

Redis handles session management by storing user session data in fast in-memory data structures, utilizing TTL-based expiration to automatically invalidate and remove inactive sessions, ensuring quick lookups for user-facing applications.

What is the best way to perform atomic operations in Redis for rate limiting?▼

The best way to perform atomic operations like rate limiting in Redis is by using Lua scripts, which execute server-side to enforce invariants and manipulate data structures like sorted sets without race conditions.

Can I use Redis pub/sub for real-time messaging in microservices?▼

Yes, you can use Redis pub/sub messaging to broadcast events and synchronize state across microservices, leveraging its in-memory data structures to support real-time application updates and decoupled communication.

When should I use Redis caching instead of querying my primary database directly?▼

You should use Redis caching when your application reads frequently accessed data like user profiles or leaderboards, shifting load away from the primary database to achieve lower latency and higher scalability.

Do I need a Redis instance running to use this caching skill?▼

Yes, you need a running Redis instance because the skill directly connects to Redis as a dependency to manage in-memory data structures, TTL-aware invalidation, and session storage for your application.

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