Is this skill compatible with modern Redis versions?

Yes, it is designed for production environments and includes support for features found in Redis 6.2 through Redis 7.4.

Does it provide templates for common backend patterns?

Absolutely. The skill includes battle-tested patterns for session storage, fixed-window rate limiting, and distributed locking using Lua scripts for atomicity.

What core Redis operations does this skill support?

It supports a full suite of string operations including SET/GET, atomic counters (INCR/DECR), batch operations (MSET/MGET), and advanced commands like GETDEL and SET IFEQ.

Can this skill help prevent Redis performance issues?

Yes, it includes validation rules that warn users about large value sizes and enforces strict key-naming patterns to maintain database organization and performance.

Redis Strings & Caching

Name: Redis Strings & Caching
Author: pluginagentmarketplace

bypluginagentmarketplace

•

Database Management

Implements production-grade Redis string operations, atomic counters, and efficient caching patterns for high-performance applications.

About

The redis-strings skill provides a comprehensive toolkit for managing Redis's most versatile data type within the Claude Code environment. It empowers developers to implement robust caching strategies, distributed locks, and atomic rate limiters using industry-standard patterns. With built-in validation for key naming conventions, memory limit warnings, and support for modern Redis 7.4+ commands, this skill ensures data consistency and optimal performance while preventing common pitfalls like memory leaks and type mismatches in production environments.

Key Features

Production-ready caching patterns with automated TTL management
Advanced support for Redis 6.2+ and 7.4+ conditional operations
Atomic counter operations for rate limiting and sequencing
1 GitHub stars
Binary-safe string manipulation and high-speed batch processing
Integrated validation for key naming and memory usage limits

Use Cases

Creating atomic rate limiters to protect API endpoints
Implementing distributed locks for resource synchronization
Building high-performance application caching layers with TTL

About

Key Features

Production-ready caching patterns with automated TTL management
Advanced support for Redis 6.2+ and 7.4+ conditional operations
Atomic counter operations for rate limiting and sequencing
1 GitHub stars
Binary-safe string manipulation and high-speed batch processing
Integrated validation for key naming and memory usage limits

Use Cases

Creating atomic rate limiters to protect API endpoints
Implementing distributed locks for resource synchronization
Building high-performance application caching layers with TTL