identifying-layer-placement

To identify the correct architectural layer for Python code, describe the functionality to place, and the skill applies a decision tree mapping it to Entry Point, Service, Domain, or Infrastructure layers to maintain separation of concerns.

The difference between Service and Domain layers in Python architecture centers on responsibilities; the skill provides clear layer definitions to distinguish business logic orchestration in the Service layer from core rules in the Domain layer.

You need to enforce layer boundaries during Python refactoring when adding new features or when layer ownership is unclear, ensuring code fragments are placed correctly to maintain clean separation of concerns across architectural layers.

The best way to determine where new functionality belongs in a Python service architecture is applying a concise decision tree that evaluates code against Entry Point, Service, Domain, and Infrastructure layer definitions to resolve placement uncertainty.

Yes, you can use this layer placement approach for Python code without external dependencies, as the skill operates independently using a decision tree and layer definitions to guide architectural placement.

Layer ownership becomes unclear when adding features to Python applications because responsibilities overlap across Entry Point, Service, Domain, and Infrastructure layers, making it difficult to maintain clean separation of concerns without explicit boundary enforcement.