How does it improve my cache hit rate?

The skill analyzes your current cache key structure and data access patterns to suggest more efficient ways to store and retrieve data, ensuring more requests are served from the cache.

What caching systems does this skill support?

It supports popular systems like Redis and Memcached, as well as custom in-memory caching implementations used in various programming languages.

Does this skill modify my code automatically?

It can propose specific code changes or configuration updates for your caching logic, which you can then review and apply using Claude's Write and Bash tools.

Is it suitable for cloud-managed caches?

Absolutely. It is highly effective for optimizing caches hosted on cloud services like AWS ElastiCache, Google Cloud Memorystore, or Azure Cache for Redis.

Can it help with stale data issues?

Yes, the skill identifies weaknesses in your current cache invalidation logic and recommends better strategies, such as event-based invalidation or adjusted TTLs, to ensure data freshness.

Cache Performance Optimizer

Name: Cache Performance Optimizer
Author: jeremylongshore

byjeremylongshore

•

884

Database Management

Optimizes application caching strategies by analyzing hit rates, TTL configurations, and key designs to maximize system performance.

About

The Cache Performance Optimizer skill empowers Claude to perform deep-dive audits of your application's caching layer, identifying bottlenecks in systems like Redis, Memcached, or in-memory caches. It examines existing configurations to recommend optimal Time-To-Live (TTL) values, refined cache key structures, and robust invalidation patterns. By balancing data freshness with retrieval speed, this skill helps developers significantly reduce latency and server load through evidence-based caching improvements.

Key Features

Optimizes TTL (Time-To-Live) configurations based on data patterns
Refines cache key design for better data retrieval and organization
Implements effective cache invalidation strategies to prevent stale data
Identifies performance bottlenecks in Redis and Memcached implementations
884 GitHub stars
Analyzes and improves cache hit rates for higher efficiency

Use Cases

Refactoring cache keys to improve hit ratios and prevent key collisions
Reducing high latency in database-heavy applications through better caching
Auditing Redis configurations for memory efficiency and eviction policy tuning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills cache-performance-optimizer

For use in Claude.ai and ChatGPT

Download Skill

GitHub