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ddd-microservices skill

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This skill guides designers and developers in applying domain-driven design to microservices, defining bounded contexts, service boundaries, and event-driven

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SKILL.md

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---
name: ddd-microservices
description: Provides comprehensive guidance for DDD in microservices including bounded contexts, service boundaries, event-driven architecture, and microservice patterns. Use when the user asks about DDD microservices, needs to design microservices with DDD, or implement microservice architectures.
license: Complete terms in LICENSE.txt
---

## When to use this skill

Use this skill whenever the user wants to:
- [待完善：根据具体工具添加使用场景]

## How to use this skill

[待完善：根据具体工具添加使用指南]

## Best Practices

[待完善：根据具体工具添加最佳实践]

## Keywords

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Overview

This skill provides practical, implementation-focused guidance for applying Domain-Driven Design (DDD) to microservice architectures. It covers identifying bounded contexts, defining service boundaries, designing domain events, and choosing appropriate microservice patterns. The guidance emphasizes maintainability, explicit APIs, and reliable event-driven integration across services.

How this skill works

The skill analyzes domain requirements and suggests bounded contexts and service boundaries aligned with single business responsibilities. It recommends patterns for communication (synchronous APIs, asynchronous events), data ownership, and consistency strategies (sagas, eventual consistency). It also provides practical implementation advice, such as event schema design, versioning, and deployment concerns for Python-based services.

When to use it

Designing a new microservice architecture from a complex business domain
Splitting a monolith into well-scoped, independently deployable services
Defining service contracts and event models for cross-team collaboration
Choosing patterns for data consistency, transactions, and failure recovery
Reviewing or hardening existing microservices for scalability and changeability

Best practices

Model the domain with domain experts before drawing service boundaries; let business capabilities drive boundaries
Keep each service responsible for a single bounded context and its own data store to avoid implicit coupling
Prefer asynchronous events for decoupling and scalability, and use sagas or compensation for long-running workflows
Design explicit, stable APIs and version events to enable independent service evolution
Limit shared libraries to schemas and contracts; avoid sharing domain logic across services
Automate tests for contract verification, consumer-driven contract testing, and end-to-end event flows

Example use cases

Decomposing an e-commerce monolith into Catalog, Orders, Payments, and Shipping services with clear event flows
Designing an event-driven billing system that uses domain events to trigger invoicing and payment reconciliation
Defining bounded contexts for a fintech platform to separate KYC, Transactions, and Reporting responsibilities
Implementing sagas to coordinate multi-step business processes like order fulfillment across services
Establishing a contract-first API and event schema strategy to support multiple client teams

FAQ

How do I choose between synchronous and asynchronous communication?

Use synchronous calls for low-latency request/response needs and where strong consistency matters. Use asynchronous events to decouple services, improve resilience, and scale independently; handle eventual consistency with sagas or compensations.

When should I create a new microservice for a feature?

Create a new service when the feature represents a distinct business capability, has independent scaling or deployment needs, or would reduce cognitive load by isolating domain logic.

How do I manage data consistency across services?

Embrace eventual consistency. Use domain events to propagate state changes and adopt sagas or compensating actions for cross-service transactions. Ensure idempotency and durable retry for event handlers.