Redis

Redis Skill

Comprehensive assistance with Redis development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

• Implementing caching layers or session storage
• Building real-time applications (pub/sub, leaderboards, analytics)
• Working with Redis data types (strings, hashes, lists, sets, sorted sets)
• Setting up Redis persistence (RDB, AOF)
• Implementing distributed locks or rate limiting
• Using Redis for vector search and AI/ML applications
• Configuring Redis clusters or enterprise deployments
• Debugging Redis performance or memory issues
• Integrating Redis with Python, Node.js, or other languages

Quick Reference

Basic Key-Value Operations

# Set a string value
SET user:1000 "John Doe"

# Set with expiration (10 seconds)
SET session:xyz "token123" EX 10

# Get a value
GET user:1000

# Delete keys
DEL user:1000 session:xyz

# Check time to live
TTL session:xyz

Working with Hashes

# Set multiple hash fields
HSET user:1001 name "Jane Smith" email "jane@example.com" age 28

# Get a single field
HGET user:1001 name

# Get all fields and values
HGETALL user:1001

# Increment a numeric field
HINCRBY user:1001 age 1

Lists for Queues

import redis

r = redis.Redis(host='localhost', port=6379, decode_responses=True)

# Push items to a queue
r.lpush('jobs:queue', 'job1', 'job2', 'job3')

# Pop from queue (FIFO)
job = r.rpop('jobs:queue')

# Blocking pop (waits for items)
job = r.brpop('jobs:queue', timeout=5)

Sets for Unique Collections

# Add members to a set
SADD tags:article:1 "redis" "database" "cache"

# Check membership
SISMEMBER tags:article:1 "redis"

# Get all members
SMEMBERS tags:article:1

# Set operations
SINTER tags:article:1 tags:article:2  # Intersection
SUNION tags:article:1 tags:article:2   # Union

Sorted Sets for Leaderboards

import redis

r = redis.Redis(host='localhost', port=6379, decode_responses=True)

# Add scores
r.zadd('leaderboard', {'player1': 100, 'player2': 150, 'player3': 80})

# Get top 3 players (highest scores)
top_players = r.zrevrange('leaderboard', 0, 2, withscores=True)

# Get rank of a player
rank = r.zrevrank('leaderboard', 'player1')

# Increment score
r.zincrby('leaderboard', 10, 'player1')

Expiration and TTL

# Set expiration on existing key
EXPIRE user:session:abc 3600

# Set key with expiration
SETEX cache:data 300 "cached value"

# Check remaining time
TTL cache:data

# Remove expiration
PERSIST cache:data

Pub/Sub Pattern

import redis

# Publisher
r = redis.Redis(host='localhost', port=6379)
r.publish('notifications', 'New message!')

# Subscriber
pubsub = r.pubsub()
pubsub.subscribe('notifications')

for message in pubsub.listen():
    if message['type'] == 'message':
        print(f"Received: {message['data']}")

Authentication

# Authenticate with password
AUTH mypassword

# Authenticate with username and password (ACL)
AUTH username mypassword

Distributed Locks

import redis
import time

r = redis.Redis(host='localhost', port=6379)

# Acquire lock
lock_key = 'resource:lock'
lock_value = 'unique-token-123'

# Try to acquire lock (NX = only if not exists)
acquired = r.set(lock_key, lock_value, nx=True, ex=10)

if acquired:
    try:
        # Perform critical section
        print("Lock acquired, doing work...")
    finally:
        # Release lock only if we own it
        if r.get(lock_key) == lock_value:
            r.delete(lock_key)

Vector Search (AI/ML)

from redis import Redis
from redis.commands.search.field import VectorField, TextField
from redis.commands.search.indexDefinition import IndexDefinition

r = Redis(host='localhost', port=6379)

# Create index with vector field
schema = (
    TextField("content"),
    VectorField("embedding",
        "FLAT",
        {
            "TYPE": "FLOAT32",
            "DIM": 512,
            "DISTANCE_METRIC": "COSINE"
        }
    )
)

r.ft("idx:vectors").create_index(
    schema,
    definition=IndexDefinition(prefix=["doc:"])
)

Reference Files

This skill includes comprehensive documentation in references/:

commands.md

Complete Redis commands reference including:

• Core Commands: SET, GET, DEL, EXPIRE, TTL, AUTH
• Hash Commands: HSET, HGET, HGETALL for working with hash data types
• Data Structures: Lists, Sets, Sorted Sets operations
• Search & Query: Full-text search, indexing, vector operations
• Client Libraries: Official clients for Python, Node.js, Java, and more

llms.md

Structured documentation index organized by category:

• Core Docs: Getting started guides and API overviews
• Commands Reference: Detailed syntax and examples for all commands
• Development: Client libraries, data types, patterns, and tools
• Integrations: Python (redis-py), RedisVL, RIOT, Prometheus, Vercel
• Operations: Installation, configuration, persistence, clustering, backups

Working with This Skill

For Beginners

Start with basic operations:

1. Review the Quick Reference section for common patterns
2. Explore Quick starts guide
3. Learn about Redis data types
4. Practice with redis-cli or Redis for VS Code

For Application Developers

Focus on integration patterns:

1. Choose your client library
2. Understand data type selection for your use case
3. Implement patterns like caching, sessions, or queues
4. Review distributed locks for concurrency

For Advanced Use Cases

Explore enterprise features:

1. Search & Query: Full-text search, secondary indexes, filtering
2. Vector Search: Store and query embeddings for AI applications
3. Persistence: Configure RDB snapshots and AOF for durability
4. Clustering: Deploy Redis Enterprise or Kubernetes operators
5. Monitoring: Prometheus metrics, Redis Insight, performance tuning

Key Concepts

Data Types

Redis supports rich data structures beyond simple key-value:

• Strings: Binary-safe strings, integers, bitmaps
• Hashes: Field-value pairs, ideal for objects
• Lists: Ordered collections, implement queues/stacks
• Sets: Unordered unique elements, set operations
• Sorted Sets: Ordered by score, leaderboards, time-series
• Streams: Append-only log, event sourcing
• Geospatial: Location-based queries
• Bitmaps & HyperLogLog: Space-efficient counting

Expiration & Eviction

• TTL: Set automatic expiration on keys
• Eviction Policies: Control behavior when memory is full (LRU, LFU, etc.)
• Persistence: Choose between RDB snapshots and AOF logs

Performance Patterns

• Pipelining: Batch commands to reduce round trips
• Transactions: MULTI/EXEC for atomic operations
• Pub/Sub: Real-time messaging between clients
• Lua Scripts: Server-side scripting for complex operations

Common Use Cases

• Caching: Reduce database load with TTL-based cache
• Session Store: Fast user session management
• Rate Limiting: Token bucket or sliding window
• Leaderboards: Sorted sets for rankings
• Real-time Analytics: Counters, streams, time-series
• Message Queue: Lists with blocking operations
• Distributed Locks: Coordination across services

Resources

references/

Organized documentation extracted from official sources:

• Detailed command syntax and parameters
• Code examples in multiple languages
• Links to original Redis documentation
• Best practices and performance tips

Official Tools

• redis-cli: Command-line interface for Redis
• Redis Insight: GUI for visualization and debugging
• Redis for VS Code: Extension for development

Client Libraries

• redis-py: Official Python client
• node-redis: Official Node.js client
• Jedis: Java client
• StackExchange.Redis: .NET client

Notes

• This skill was automatically generated from official Redis documentation
• Examples prioritize clarity and practical application
• Code snippets use proper language detection for syntax highlighting
• All examples are based on Redis 7.x latest documentation

Updating

To refresh this skill with updated documentation:

1. Re-run the scraper with the same configuration
2. The skill will be rebuilt with the latest information from redis.io