Caching Strategy Skill | Agent Skills

Caching Strategy

Overview
When to Use
Quick Start
Reference Guides
Best Practices

Overview

Implement effective caching strategies to improve application performance, reduce latency, and decrease load on backend systems.

When to Use

Reducing database query load
Improving API response times
Handling high traffic loads
Caching expensive computations
Storing session data
CDN integration for static assets
Implementing distributed caching
Rate limiting and throttling

Quick Start

Minimal working example:

import Redis from "ioredis";

interface CacheOptions {
  ttl?: number; // Time to live in seconds
  prefix?: string;
}

class CacheService {
  private redis: Redis;
  private defaultTTL = 3600; // 1 hour

  constructor(redisUrl: string) {
    this.redis = new Redis(redisUrl, {
      retryStrategy: (times) => {
        const delay = Math.min(times * 50, 2000);
        return delay;
      },
      maxRetriesPerRequest: 3,
    });

    this.redis.on("connect", () => {
      console.log("Redis connected");
    });

    this.redis.on("error", (error) => {
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

| Guide | Contents | |---|---| | Redis Cache Implementation (Node.js) | Redis Cache Implementation (Node.js) | | Cache Decorator (Python) | Cache Decorator (Python) | | Multi-Level Cache | Multi-Level Cache | | Cache Invalidation Strategies | Cache Invalidation Strategies | | HTTP Caching Headers | HTTP Caching Headers |

Best Practices

✅ DO

Set appropriate TTL values
Implement cache warming for critical data
Use cache-aside pattern for reads
Monitor cache hit rates
Implement graceful degradation on cache failure
Use compression for large cached values
Namespace cache keys properly
Implement cache stampede prevention
Use consistent hashing for distributed caching
Monitor cache memory usage

❌ DON'T

Cache everything indiscriminately
Use caching as a fix for poor database design
Store sensitive data without encryption
Forget to handle cache misses
Set TTL too long for frequently changing data
Ignore cache invalidation strategies
Cache without monitoring
Store large objects without consideration

Agent Skills: Caching Strategy

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