Architecture patterns
Production-grade engineering skills and specialist agent personas for AI coding assistants. Orchestrates the full SDLC, from spec to ship, with structured verification gates, anti-rationalization checks, and senior-level engineering discipline.
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Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
SKILL.md
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Architecture Patterns
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
Use this skill when
- Designing new backend systems from scratch
- Refactoring monolithic applications for better maintainability
- Establishing architecture standards for your team
- Migrating from tightly coupled to loosely coupled architectures
- Implementing domain-driven design principles
- Creating testable and mockable codebases
- Planning microservices decomposition
Do not use this skill when
- You only need small, localized refactors
- The system is primarily frontend with no backend architecture changes
- You need implementation details without architectural design
Instructions
- Clarify domain boundaries, constraints, and scalability targets.
- Select an architecture pattern that fits the domain complexity.
- Define module boundaries, interfaces, and dependency rules.
- Provide migration steps and validation checks.
- For workflows that must survive failures (payments, order fulfillment, multi-step processes), use durable execution at the infrastructure layer — frameworks like DBOS persist workflow state, providing crash recovery without adding architectural complexity.
Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.
Related Skills
Works well with: dbos-*
Resources
resources/implementation-playbook.mdfor detailed patterns, checklists, and templates.
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.