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redis-development

Apply Redis performance optimizations and best practices to production systems.

Updated Apr 15, 2026
Search Tags:#performance#security#caching#redis#observability#vector-search#rqe
One-click install
npx skills add https://github.com/ToanPV90/dotfiles --skill redis-development-toanpv90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: redis-development
Source: https://github.com/ToanPV90/dotfiles/tree/main/agents/.agents/skills/redis-development
Command: npx skills add https://github.com/ToanPV90/dotfiles --skill redis-development-toanpv90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents slow, memory-hungry, and unsafe Redis implementations by providing prioritized, automation-friendly performance and best-practice guidance across data modeling, indexing, caching, and security.

Core Features & Use Cases

  • Redis data modeling & operations: Choose the right data types, key naming conventions, TTL strategies, counters, and atomic transactions to avoid correctness and performance pitfalls.
  • Performance and reliability: Guide production-safe command usage, timeouts, pooling/multiplexing, pipelining, eviction, and observability checks.
  • Advanced search & AI caching: Implement Redis Query Engine best practices, vector search/RedisVL indexing, RAG retrieval patterns, and LangCache semantic caching with proper tuning.
  • Security for production: Enforce authentication, ACLs, and restricted network exposure to reduce breach impact and attack surface.
  • Clustering & messaging: Use cluster hash tags for multi-key safety, replica reads for read-heavy workloads, and pick Streams vs Pub/Sub correctly to match durability needs.

Quick Start

Ask an AI to review your Redis schema and query patterns using the redis-development skill and return a prioritized list of changes (with corrected examples) for the highest-impact improvements.

Frequently Asked Questions about redis-development

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

FAQPage Schema
How do I optimize Redis performance to reduce latency and memory waste?▼

Optimize Redis performance by reviewing data modeling, TTL strategies, connection pooling, and pipelining. This reduces latency, eliminates memory waste, and lowers operational risk in production environments.

What is the best way to implement vector search and RAG retrieval in Redis?▼

Implement vector search and RAG retrieval in Redis using the Redis Query Engine and RedisVL. Proper indexing and query pattern tuning ensure fast, accurate semantic searches and retrieval-augmented generation outputs.

How does semantic caching with LangCache work for AI applications?▼

Semantic caching with LangCache works by storing and retrieving AI query results based on meaning rather than exact matches. This reduces redundant LLM calls, lowering operational costs and improving response speeds.

When should I use Redis Streams vs Pub/Sub for messaging?▼

Use Redis Streams when message durability and consumer persistence are required, and Pub/Sub for ephemeral, fire-and-forget broadcasting. Choosing correctly ensures your messaging system matches your specific data retention needs.

How do I secure Redis for production with ACLs and authentication?▼

Secure Redis for production by enforcing authentication, configuring Access Control Lists (ACLs), and restricting network exposure. These controls reduce breach impact and minimize the overall attack surface.

Can I use Redis cluster hash tags for multi-key operations safely?▼

Yes, you can use Redis cluster hash tags to ensure multi-key operations land on the same shard. This guarantees atomic transactions execute correctly while maintaining cluster scalability and read-heavy workload distribution.

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