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redis-best-practices

Redis development best practices for caching, data structures, and high-performance key-value operations

142stars25forksUpdated 6/19/2026

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About redis-best-practices

The Redis Best Practices skill provides comprehensive guidance for effectively using Redis as an in-memory data store. It covers optimal patterns for caching, session storage, real-time analytics, and message queuing while helping developers avoid common pitfalls and performance issues. This skill addresses the challenge of leveraging Redis's full potential by teaching proper data structure selection, key naming conventions, and architectural patterns that ensure scalability and maintainability.

The skill focuses on Redis's five core data structures—strings, hashes, lists, sets, and sorted sets—plus the newer streams feature for event processing. It provides practical code examples for each structure, demonstrating when and how to use atomic operations, batch commands, and blocking operations. Key topics include implementing efficient cache-aside patterns, designing leaderboards with sorted sets, building message queues with lists, and handling distributed event processing with consumer groups. The guidance emphasizes memory efficiency, proper expiration policies, and consistent naming patterns that make Redis applications easier to debug and scale.

This skill is ideal for backend developers working with high-performance applications that require fast data access, DevOps engineers designing caching layers, and architects building real-time systems. Whether you're implementing session management, building a rate limiter, creating activity feeds, or designing distributed task queues, this skill provides battle-tested patterns and concrete examples that can be directly applied to production systems.

FAQ

What data structure should I use for a leaderboard?

Use sorted sets (ZADD, ZREVRANGE) where scores represent player rankings. Sorted sets automatically maintain order and support efficient rank queries and score-based range operations.

How do I implement proper cache expiration?

Set expiration times using the EX parameter with SET commands or use SETEX. Choose TTL values based on data volatility—shorter for frequently changing data (seconds to minutes), longer for static content (hours to days).

When should I use hashes instead of multiple string keys?

Use hashes when storing objects with multiple fields. Hashes are more memory-efficient than creating separate string keys for each field and allow partial updates without fetching the entire object.

What's the difference between RPOP and BRPOP for queues?

RPOP returns immediately with a value or null if the list is empty. BRPOP is a blocking operation that waits up to a specified timeout for an item to become available, making it ideal for worker processes that need to efficiently wait for new tasks.

How do I handle distributed processing with Redis Streams?

Use consumer groups with XGROUP CREATE and XREADGROUP. Multiple consumers can process messages in parallel, and Redis tracks which messages each consumer has received. Use XACK to acknowledge successful processing.

Install redis-best-practices

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill