caching-strategy
Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill caching-strategy- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads caching-strategy automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Caching Strategy
Table of Contents
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
FAQ
What does the caching-strategy skill do?
Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.
How do I install caching-strategy?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill caching-strategy in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/caching-strategy/ (personal) or .claude/skills/caching-strategy/ (project).
Which AI agents can use caching-strategy?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is caching-strategy safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains caching-strategy?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 545 recorded installs.
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