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redis-patterns

Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.

pi/core/skills/redis-patterns/SKILL.md

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# Redis Patterns

Quick reference for Redis best practices across common backend use cases.

## How It Works

Redis is an in-memory data structure store that supports strings, hashes, lists, sets, sorted sets, streams, and more. Individual Redis commands are atomic on a single instance; multi-step workflows require Lua scripts, MULTI/EXEC transactions, or explicit synchronization to stay atomic. Data is optionally persisted via RDB snapshots or AOF logs. Clients communicate over TCP using the RESP protocol; connection pools are essential to avoid per-request handshake overhead.

## When to Activate

- Adding caching to an application
- Implementing rate limiting or throttling
- Building distributed locks or coordination
- Setting up session or token storage