redis-development
Installation
Summary
Redis performance optimization across data structures, query engines, vector search, and semantic caching.
- Covers 29 prioritized rules across 11 categories including data modeling, memory management, Redis Query Engine (RQE), vector search with RedisVL, and LangCache semantic caching
- Provides structured guidance for connection pooling, JSON document handling, streams, clustering, security (ACLs), and observability
- Each rule includes explanations, correct examples, anti-patterns or usage guidance, and additional context for implementation
- Organized by impact level (HIGH/MEDIUM) to help prioritize optimization efforts in automated code generation and performance tuning
SKILL.md
Redis Best Practices
Comprehensive performance optimization guide for Redis, including Redis Query Engine, vector search, and semantic caching. Contains 29 rules across 11 categories, prioritized by impact to guide automated optimization and code generation.
When to Apply
Reference these guidelines when:
- Designing Redis data models and key structures
- Implementing caching, sessions, or real-time features
- Using Redis Query Engine (FT.CREATE, FT.SEARCH, FT.AGGREGATE)
- Building vector search or RAG applications with RedisVL
- Implementing semantic caching with LangCache
- Optimizing Redis performance and memory usage
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Data Structures & Keys | HIGH | data- |
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