Redis - AI Skill for Claude, ChatGPT & Any AI Chat

Name: AI Skill for Redis
Brand: KissMySkills
Price: 19 USD
Availability: InStock

AI Skill for Redis

Turn Claude into a senior Redis engineer who picks your data structures and writes your patterns.

$19 this skill one payment yours forever

Prompt file instant downloadai-skill-for-redis.txt

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How it works

Ask it something hard.

📎 ai-skill-for-redis.txtLOADED ✓

I need a rate limiter in node-redis: max 100 requests per user per minute. How do I build it?

CLAUDE · WITH THIS SKILL You get: the pattern choice (fixed window counter with INCR and EXPIRE in one MULTI block) -> a ready node-redis function with a per-minute key such as ratelimit:userId:minute and a 120 second TTL -> a one-line why explaining natural resets and no cleanup job -> the sliding window alternative with a sorted set (ZADD, ZREMRANGEBYSCORE, ZCARD) for smoother limits at window edges -> an assumption note that it works on standalone and Cluster because each command touches one key -> the next action: add it to middleware and test with 101 calls on a local Redis.

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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com

// the file itself

Read it before you buy it.

The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.

// the skill your AI runs on

You are a senior Redis practitioner who picks the data structure first, designs keys that stay predictable at scale, and reaches for Streams, sorted sets or Lua. You have been activated to deliver commands ready for redis-cli.

KissMySkills.com | Install: paste this whole file into Claude Projects (Project instructions), a custom GPT (Instructions), a Gemini Gem, or your AI's system prompt. Then just ask questions the way you normally would. You are a senior Redis practitioner embedded in the user's daily backend work. You have used Redis as a cache, session store, queue, rate limiter and message bus, and run it in production with persistence, replication and Cluster. You optimise for the right data structure, key designs that stay predictable at scale, and operations that never block the server or lose data. Tone: direct, practical, step-by-step when needed. · Data types and commands: Strings (GET, SET with EX, NX, INCR, MGET), Hashes (HSET, HGET, HGETALL, HINCRBY), Lists (LPUSH, RPOP, LRANGE, LTRIM, BLPOP, LMOVE), Sets (SADD, SISMEMBER, SINTER, SSCAN), Sorted Sets (ZADD, ZRANGE with BYSCORE and REV, ZRANK, ZINCRBY, ZPOPMIN), Streams (XADD, XREADGROUP, XACK, XPENDING, XAUTOCLAIM, XTRIM), HyperLogLog, Geospatial. · Key management: EXPIRE, TTL, DEL, UNLINK, SCAN with MATCH instead of KEYS, naming with colons such as user:123:session. · Atomicity: MULTI, EXEC, WATCH; Lua scripting with EVAL and EVALSHA; Redis Functions on newer versions. · Pub/Sub: PUBLISH and SUBSCRIBE, fire-and-forget versus Streams for durable messaging. · Persistence: RDB snapshots (BGSAVE), AOF (appendfsync always, everysec, no), AOF rewrite, and the trade-offs. · Memory: maxmemory and eviction policies (noeviction, allkeys-lru, volatile-lru, allkeys-lfu, volatile-ttl), MEMORY USAGE, INFO memory. · Replication and HA: primary and replica, Sentinel for failover, Cluster with 16384 hash slots, hash tags in curly braces to keep keys on one node. · Deployments: Redis OSS, Redis Stack (RedisJSON, RediSearch), Redis Cloud, Amazon ElastiCache, Azure Cache for Redis, Google Memorystore, Valkey. · Tools: redis-cli (--latency, --bigkeys, MONITOR), RedisInsight, INFO, CLIENT LIST, SLOWLOG. · Clients: redis-py, node-redis, ioredis, Jedis, Lettuce, StackExchange.Redis, go-redis; pooling, pipelining, timeouts, retries. · Patterns: cache-aside with TTL jitter, locks with SET NX PX released via Lua, rate limiters, leaderboards with sorted sets, sessions in hashes, queues with lists or Streams, counters with INCR and EXPIRE. · Security: ACL users with command and key rules, protected mode, bind, TLS, disabling FLUSHALL and CONFIG, never exposing Redis to the internet.

79 lines · .txt · instant download

// what's inside

What's inside this skill

Data type and key design with TTL policy for your exact access pattern
Rate limiter, lock, cache and leaderboard code in redis-cli, Lua and your client
Streams consumer group setup with XREADGROUP, XACK and stalled message recovery
Memory and latency diagnosis via INFO, SLOWLOG, --bigkeys and eviction policy

Backend developers, platform and DevOps engineers who use Redis as a cache, queue, store or message bus.

// two ways to get it

Use it inside your AI, or download it once.

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Download after checkout and paste it into any AI chat
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Works with

Trademarks of their respective owners. KissMySkills is not affiliated with or endorsed by them.

// ask your assistant

Or let your AI set up this skill for you.

Go to kissmyskills.com/pages/connector and set up the "AI Skill for Redis" skill (handle: ai-skill-for-redis) for me

Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →

What you're actually buying

This Claude/ChatGPT skill works as a Redis AI pair programmer inside your daily backend work: it chooses the data structure and key naming scheme for what you store, writes cache-aside, distributed lock, rate limiter, leaderboard, session and queue implementations as redis-cli commands, Lua scripts and client code, sets up Streams with consumer groups, XACK and XAUTOCLAIM, and reviews the Redis calls in the code you paste.

It knows Strings, Hashes, Lists, Sets, Sorted Sets, Streams and HyperLogLog, MULTI and WATCH, TTL and eviction policies, RDB and AOF persistence, Sentinel and Cluster hash slots, ACLs, redis-cli diagnostics such as --bigkeys and SLOWLOG, RedisInsight, and the managed options from Redis Cloud to ElastiCache. It does not connect to your server or run anything; it prepares the commands, scripts and configuration lines so you can apply them safely.

Works the same way in Claude, ChatGPT and Gemini. One purchase, download the file, install in under 2 minutes, then describe your use case or paste your client code and get Redis patterns back. Pairs with Niko, Backend Developer, the persona skill; this one is the helper inside Redis.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the .txt file anywhere on your device.
02
Open your AI chat
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
03
Paste the prompt
Open the .txt file, copy the prompt section and paste it into Claude or ChatGPT - or add it to a Project so it is always there.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.

No technical knowledge required.

With Library there is nothing to download. Connect your AI once, then ask for any skill by name.

Setup guide → Library · $9/mo →

// faq

Questions about this product

What does the AI Skill for Redis do?+

It turns Claude or ChatGPT into a Redis AI assistant that picks the right data structure and key design, writes caching, locking, rate limiting, leaderboard, session and queue patterns, sets up Streams and consumer groups, explains persistence, replication and Cluster, diagnoses memory and latency problems and reviews your client code.

Does it operate Redis for me?+

No. It does not connect to your Redis server, run commands, change redis.conf or trigger failovers. It writes the commands, Lua scripts, client code and configuration lines, and you run them on your own Redis instance after checking them, with a backup step suggested before anything destructive.

Does the Redis skill cover Streams, Cluster and persistence, not just caching?+

Yes. It gives XADD, XGROUP, XREADGROUP, XACK and XAUTOCLAIM loops for reliable messaging, explains Sentinel versus Cluster and hash tags for multi-key operations, and lays out RDB versus AOF settings with what happens on restart, all specific to Redis.

Which Redis deployments and clients does it support?+

It covers Redis OSS, Redis Stack with modules such as RedisJSON and RediSearch, Redis Cloud, Amazon ElastiCache and MemoryDB, Azure Cache for Redis, Google Memorystore and Valkey, and writes client code for redis-py, node-redis, ioredis, Jedis, Lettuce, StackExchange.Redis and go-redis, asking for your version when a command depends on it.