Design and build microservices architectures with service discovery, API gateways, and event-driven patterns.
Microservices is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to architecture, this skill activates automatically — bringing domain-specific knowledge about microservices, service mesh, api gateway directly into your development workflow.
Designs microservice architectures: service boundaries based on domain-driven design, inter-service communication (sync REST/gRPC, async events), data ownership patterns, and distributed transaction handling (saga pattern). Generates service mesh configs, API gateways, and circuit breakers.
// Circuit breaker with fallback
const breaker = new CircuitBreaker(callPaymentService, {
timeout: 3000, errorThresholdPercentage: 50,
resetTimeout: 30000
});
breaker.fallback(async (order) => {
await queue.send('payment-retry', order);
return { status: 'pending', message: 'Payment queued for processing' };
});
breaker.on('open', () => alertOps('Payment service circuit open'));A monolith serving 50K users was decomposed into 5 services: the skill identified bounded contexts (orders, inventory, payments, notifications, users), designed the event-driven communication, and generated saga orchestration for the order flow — enabling independent deployment and scaling.
The Microservices skill is a specialized AI capability within Multos AI that design and build microservices architectures with service discovery, api gateways, and event-driven patterns. It activates automatically when your prompt relates to architecture tasks, providing expert-level guidance and production-ready code.
No. Multos AI uses intent detection to activate the Microservices skill automatically when your request involves microservices. There's no setup, no plugins to install, and no configuration files to manage.
All 33 models on Multos AI can leverage the Microservices skill. For complex architecture 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 Microservices 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 Microservices are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex architecture tasks.
One of 70 expert skills that activate automatically. Start building now.
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