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/microservices-architecture

Design and implement microservices architecture including service boundaries, communication patterns, API gateways, service mesh, service discovery, and distributed system patterns. Use when building microservices, distributed systems, or service-oriented architectures.

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useful-ai-prompts
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$ npx -y skills add aj-geddes/useful-ai-prompts --skill microservices-architecture --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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Design and implement microservices architecture including service boundaries, communication patterns, API gateways, service mesh, service discovery, and distributed system patterns. Use when building microservices, distributed systems, or service-oriented architectures.

SKILL.md

microservices-architecture.SKILL.md
name: microservices-architecture
description: >
  Design and implement microservices architecture including service boundaries,
  communication patterns, API gateways, service mesh, service discovery, and
  distributed system patterns. Use when building microservices, distributed
  systems, or service-oriented architectures.

Microservices Architecture

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Comprehensive guide to designing, implementing, and maintaining microservices architectures. Covers service decomposition, communication patterns, data management, deployment strategies, and observability for distributed systems.

When to Use

  • Designing new microservices architectures
  • Decomposing monolithic applications
  • Implementing service-to-service communication
  • Setting up API gateways and service mesh
  • Implementing service discovery
  • Managing distributed transactions
  • Designing inter-service data consistency
  • Scaling independent services

Quick Start

Minimal working example:

Bounded Contexts:
┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
│  Order Service  │  │  User Service   │  │ Payment Service │
│                 │  │                 │  │                 │
│ - Create Order  │  │ - User Profile  │  │ - Process Pay   │
│ - Order Status  │  │ - Auth          │  │ - Refund        │
│ - Order History │  │ - Preferences   │  │ - Transactions  │
└─────────────────┘  └─────────────────┘  └─────────────────┘

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Service Boundary Design](references/service-boundary-design.md) | Service Boundary Design | | [Communication Patterns](references/communication-patterns.md) | Communication Patterns | | [API Gateway Pattern](references/api-gateway-pattern.md) | API Gateway Pattern | | [Service Discovery](references/service-discovery.md) | Service Discovery | | [Data Consistency Patterns](references/data-consistency-patterns.md) | Data Consistency Patterns | | [Service Mesh (Istio)](references/service-mesh-istio.md) | Service Mesh (Istio) |

Best Practices

✅ DO

  • Design services around business capabilities
  • Use asynchronous communication where possible
  • Implement circuit breakers for resilience
  • Use API gateway for cross-cutting concerns
  • Implement distributed tracing
  • Use service mesh for service-to-service communication
  • Design for failure (chaos engineering)
  • Implement health checks for all services
  • Use correlation IDs for request tracking
  • Version your APIs
  • Implement proper monitoring and alerting
  • Use event-driven architecture for loose coupling
  • Implement idempotent operations
  • Use database per service pattern

❌ DON'T

  • Share databases between services
  • Create overly granular services (nanoservices)
  • Use distributed transactions (two-phase commit)
  • Ignore network latency and failures
  • Share domain models between services
  • Deploy all services as one unit
  • Hardcode service URLs
  • Forget to implement authentication/authorization
  • Use synchronous calls for long-running operations
  • Ignore backward compatibility
  • Skip monitoring and logging
  • Create circular dependencies between services
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