About microservices-patterns
A skill for designing microservices and distributed systems. It covers service boundaries, communication, data ownership, resilience, and migration planning for teams decomposing or building services.
Key features
- 01Identify service boundaries and ownership
- 02Define contracts and communication patterns
- 03Plan data ownership and transactions
- 04Address resilience and observability
- 05Prepare migration and deployment guardrails
Use cases
- 01Decompose a monolith into services
- 02Design service contracts and boundaries
- 03Plan event-driven communication
- 04Improve resilience in distributed systems
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill microservices-patternsAfter installing, type/microservices-patternsin Claude Code to confirm it loaded.
Bundled filesresources/implementation-playbook.md
Details
From the project READMEMicroservices Patterns
Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems.
Use this skill when
- Decomposing monoliths into microservices
- Designing service boundaries and contracts
- Implementing inter-service communication
- Managing distributed data and transactions
- Building resilient distributed systems
- Implementing service discovery and load balancing
- Designing event-driven architectures
Do not use this skill when
- The system is small enough for a modular monolith
- You need a quick prototype without distributed complexity
- There is no operational support for distributed systems
Instructions
- Identify domain boundaries and ownership for each service.
- Define contracts, data ownership, and communication patterns.
- Plan resilience, observability, and deployment strategy.
- Provide migration steps and operational guardrails.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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