Redis as cache, session store, message broker, rate limiter, and distributed lock — production patterns and best practices.
Redis is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to data, this skill activates automatically — bringing domain-specific knowledge about redis, cache, session store, pub sub, rate limiting, distributed lock directly into your development workflow.
Generates implementations for cache-aside with TTL/invalidation, distributed rate limiting with sliding windows, session storage, pub/sub, sorted sets for leaderboards, and Redis Streams for event sourcing. Handles connection pooling, cluster mode, and circuit breaker patterns.
async function rateLimit(userId: string, limit: number, windowSec: number) {
const key = `rate:${userId}`;
const now = Date.now();
const pipeline = redis.pipeline();
pipeline.zremrangebyscore(key, 0, now - windowSec * 1000);
pipeline.zadd(key, now, `${now}-${crypto.randomUUID()}`);
pipeline.zcard(key);
pipeline.expire(key, windowSec);
const results = await pipeline.exec();
return (results[2][1] as number) <= limit;
}A social platform with 50K concurrent users implemented sorted-set leaderboards, pub/sub notifications, and sliding-window rate limiting — reducing database load by 70% while keeping feeds fresh in real-time.
The Redis skill is a specialized AI capability within Multos AI that redis as cache, session store, message broker, rate limiter, and distributed lock — production patterns and best practices. It activates automatically when your prompt relates to data tasks, providing expert-level guidance and production-ready code.
No. Multos AI uses intent detection to activate the Redis skill automatically when your request involves redis. There's no setup, no plugins to install, and no configuration files to manage.
All 33 models on Multos AI can leverage the Redis skill. For complex data tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.
Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Redis skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.
Yes, all 70 agent skills including Redis are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex data tasks.
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One of 70 expert skills that activate automatically. Start building now.
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