Complete guide to organizing business logic with services and data access with repositories. ✅ Business rules enforcement ✅ Orchestrating multiple repositories
This skill teaches how to organize business logic by separating it into services for orchestration and repositories for data access. It enforces business rules clearly, ensuring that complex operations like notifications or transactions are handled consistently. By structuring code with dependency injection and caching strategies, it improves maintainability, testability, and performance in backend systems.
This skill is designed for backend developers working on scalable APIs, growth engineers implementing complex user workflows, and agency strategists overseeing integrations between multiple data sources. It benefits those who need to control data interactions precisely while orchestrating business rules, such as notification routing based on user preferences or batching processes.
Practitioners first define repository layers to abstract database queries and isolate data access concerns. Next, they implement service layers that receive repositories and other dependencies via injection, allowing easy mocking and configuration. Then, they codify business rules in service methods, for example, deciding when to batch emails or send immediate notifications. Finally, caching and error handling are integrated to optimize performance and reliability, while facilitating testing through clear dependency boundaries.
How do services interact with repositories? Services call repositories to fetch or modify data but focus on business logic and orchestration rather than direct database queries. Can I test services independently? Yes, by injecting mock repositories or dependencies, you can unit test service logic without relying on external databases. What are the benefits of caching in services? Caching reduces redundant database calls, improving latency and throughput, especially when user preferences or configuration data are accessed frequently.
Attach this skill to a Metaflow agent task that involves complex backend logic requiring clear separation between business rules and data access. Expect the skill to guide your agent in structuring operations with injectable dependencies and caching patterns for efficient and maintainable workflows. This setup ensures your Metaflow agents can manage orchestration and data reliably across steps.
For broader context, see our roundup of claude skills marketing, and read common Claude Code content mistakes for related setup guidance.