redis

Cache and manage in-memory data with Redis commands and Lua scripting.

3|Updated Feb 6, 2026

Search Tags:#caching #redis #rate-limiting #data-structures #pubsub #session-store #lua-scripting

Ready to run

npx skills add https://github.com/1Mangesh1/dev-skills-collection --skill redis-1mangesh1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: redis
Source: https://github.com/1Mangesh1/dev-skills-collection/tree/main/skills/redis
Command: npx skills add https://github.com/1Mangesh1/dev-skills-collection --skill redis-1mangesh1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires redis, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Redis accelerates application data access by providing fast in-memory caching, versatile data structures, and real-time messaging, reducing latency and database load.

Core Features & Use Cases

Caching: Build high-performance caches for frequently accessed data to dramatically cut response times.
Data Structures & Stores: Use strings, hashes, lists, sets, and sorted sets to model complex domain data efficiently.
Pub/Sub & Messaging: Implement real-time event streams and notifications between services.
CLI & Automation: Manage Redis instances, perform maintenance, and script workflows with Redis CLI and Lua.
Use cases include session storage, rate limiting, leaderboards, and feature flag patterns in web apps.

Quick Start

Run a simple in-memory cache example and observe fast get/set operations across common data types.

Frequently Asked Questions about redis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I use Redis caching to reduce database load and latency in web applications?▼

Redis caching stores frequently accessed data in-memory, cutting response times and reducing database load. You can build high-performance caches using strings and hashes to accelerate web application data retrieval.

What's the best way to implement rate limiting and session storage with Redis?▼

Rate limiting and session storage in Redis leverage its fast in-memory data structures like strings and hashes. You can model session states and track request counts efficiently to enforce limits across microservices.

Can I use Redis pub/sub for real-time messaging between microservices?▼

Redis pub/sub enables real-time event streams and notifications between services. You can implement messaging channels where publishers emit events and subscribers receive them instantly for real-time application features.

When do I need Lua scripting in Redis, and what does it help automate?▼

Lua scripting in Redis automates complex atomic workflows and CLI maintenance tasks. You use it when you need server-side execution of multi-step operations, ensuring data consistency and automating Redis workflows.

Does Redis support sorted sets and lists for building leaderboards and feature flags?▼

Redis supports sorted sets and lists to model complex domain data like leaderboards and feature flag patterns. Sorted sets rank members by score, while lists manage ordered collections for web app features.

Why choose Redis over other in-memory caching tools for microservices?▼

Choose Redis for microservices because it combines versatile data structures, pub/sub messaging, and Lua scripting in one in-memory store. It accelerates data access and reduces latency more effectively than single-purpose caches.