mcpField
R
redis

redis

github.com/partme-aiData & databases71871 installsUpdated 4w ago
Repository

About redis

redis is a skill for developers working with Redis, covering data structures, commands, and operational configuration. It includes guidance for common patterns such as caching, rate limiting, persistence, and high availability.

Key features

  1. 01Redis data structures and commands
  2. 02Caching, sessions, and queue patterns
  3. 03RDB, AOF, and replication guidance
  4. 04Sentinel and Redis Cluster configuration
  5. 05Lua scripts for atomic operations
  6. 06Connection drivers and pooling guidance

Use cases

  1. 01Set expiration on cached values
  2. 02Implement rate limiting with sorted sets
  3. 03Configure persistence and replicas
  4. 04Connect through redis-cli or a driver

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/partme-ai/full-stack-skills --skill redis

After installing, type/redisin Claude Code to confirm it loaded.

Bundled filesLICENSE.txt

Details

From the project README

When to use this skill

Use this skill whenever the user wants to:

  • Use Redis data structures (string, hash, list, set, sorted set) and commands
  • Implement caching, session storage, rate limiting, or message queues with Redis
  • Configure persistence (RDB/AOF), replication, Sentinel, or Redis Cluster
  • Write Lua scripts for atomic Redis operations
  • Connect via redis-cli or language drivers (connection pooling, serialization)

How to use this skill

Workflow
  1. Identify the use case - Caching, session store, queue, pub/sub, or data structure
  2. Choose the data structure - String for simple values, Hash for objects, List for queues, Sorted Set for rankings
  3. Implement with appropriate commands - Use the patterns below
  4. Configure persistence and replication - Based on durability requirements
Quick-Start Example: Caching with TTL
# Set a cache entry with 5-minute TTL
redis-cli SET user:1001:profile '{"name":"Alice","role":"admin"}' EX 300

# Retrieve the cached value
redis-cli GET user:1001:profile

# Check remaining TTL
redis-cli TTL user:1001:profile
Rate Limiting with Sorted Sets
# Add request timestamp to sorted set
redis-cli ZADD rate:user:1001 1710000000 "req1"

# Count requests in the last 60 seconds
redis-cli ZRANGEBYSCORE rate:user:1001 1709999940 1710000000

# Remove expired entries
redis-cli ZREMRANGEBYSCORE rate:user:1001 0 1709999940

Best Practices

  1. Use namespaced keys - Format as service:entity:id:field (e.g., app:user:1001:session)
  2. Always set TTL - Prevent memory leaks from stale data; use EX/PX on SET
  3. Avoid large keys - Split hashes over 1MB; use SCAN instead of KEYS in production
  4. Choose persistence wisely - RDB for snapshots (fast restart), AOF for durability (every write)
  5. Secure production - Require password (requirepass), bind to private IPs, disable FLUSHALL

Keywords

redis, cache, caching, 缓存, data structures, 数据结构, pub/sub, sentinel, cluster, 主从, 集群, rate limiting, session store, Lua scripting

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