Caching Strategy

This walks you through building practical caching layers with Redis, Memcached, and CDNs to speed up your apps and reduce database hammering. You get working examples in TypeScript and Python, including multi-level cache setups, cache-aside patterns, and stampede prevention. The reference guides cover the essentials: invalidation strategies, HTTP headers, and decorators you can actually drop into your code. What's useful here is the focus on monitoring and graceful degradation, because caching fails in production and you need to handle it. Good for API optimization and high-traffic scenarios where you're tired of your database being the bottleneck.

skills.sh installs: 551
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill caching-strategy --agent claude-code

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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");
    });

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