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/query-caching-strategies

Implement query caching strategies to improve performance. Use when setting up caching layers, configuring Redis, or optimizing database query response times.

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useful-ai-prompts
309200 skills
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill query-caching-strategies --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/query-caching-strategies

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Implement query caching strategies to improve performance. Use when setting up caching layers, configuring Redis, or optimizing database query response times.

SKILL.md

query-caching-strategies.SKILL.md
name: query-caching-strategies
description: >
  Implement query caching strategies to improve performance. Use when setting up
  caching layers, configuring Redis, or optimizing database query response
  times.

Query Caching Strategies

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Implement multi-level caching strategies using Redis, Memcached, and database-level caching. Covers cache invalidation, TTL strategies, and cache warming patterns.

When to Use

  • Query result caching
  • High-read workload optimization
  • Reducing database load
  • Improving response time
  • Cache layer selection
  • Cache invalidation patterns
  • Distributed cache setup

Quick Start

Minimal working example:

// Node.js example with Redis
const redis = require("redis");
const client = redis.createClient({
  host: "localhost",
  port: 6379,
  db: 0,
});

// Get user with caching
async function getUser(userId) {
  const cacheKey = `user:${userId}`;

  // Check cache
  const cached = await client.get(cacheKey);
  if (cached) return JSON.parse(cached);

  // Query database
  const user = await db.query("SELECT * FROM users WHERE id = $1", [userId]);

  // Cache result (TTL: 1 hour)
  await client.setex(cacheKey, 3600, JSON.stringify(user));
  return user;
}

// Cache warming on startup
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Redis Caching with PostgreSQL](references/redis-caching-with-postgresql.md) | Redis Caching with PostgreSQL | | [Memcached Caching](references/memcached-caching.md) | Memcached Caching | | [PostgreSQL Query Cache](references/postgresql-query-cache.md) | PostgreSQL Query Cache | | [MySQL Query Cache](references/mysql-query-cache.md) | MySQL Query Cache | | [Event-Based Invalidation](references/event-based-invalidation.md) | Event-Based Invalidation | | [Time-Based Invalidation](references/time-based-invalidation.md) | Time-Based Invalidation, LRU Cache Eviction |

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values
Read more
Ships withuseful-ai-prompts

488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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