design

System architecture design translates requirements into concrete technical designs by defining architectural patterns, API contracts, and data flows. This Skill systematizes that process, generating architecture documents with component definitions, REST API specifications, and Pydantic data models before implementation begins, reducing ambiguity and rework.

Structure data models using Pydantic schemas with validation rules and design REST API endpoints that follow RESTful patterns. This Skill enforces modular boundaries, single-responsibility principle, and component interaction through sequence diagrams, ensuring cohesive API and data model design aligned with your feature requirements.

Map data flows and module interactions by defining workflow sequences and component dependencies through diagrams and specifications. This Skill generates data-flow diagrams and sequence diagrams that document end-to-end system behavior, error handling, and module interactions for comprehensive architecture documentation.

Yes, this Skill applies to multiple architectural patterns including layered, modular, and microservices approaches. It helps you choose and define the appropriate pattern for your feature, ensuring scalability and maintainability while enforcing dependency injection and modular boundaries across Python projects.

The design process enforces dependency injection, modular boundaries, single-responsibility principle, file size limits of 500 lines maximum, Pydantic data models, RESTful API patterns, error handling strategies, and documentation standards to ensure production-ready architecture before implementation.

Yes, this Skill works downstream of requirements analysis. Input analyzed requirements and this Skill translates them into actionable technical designs including architecture patterns, API contracts, data models, and workflow diagrams for end-to-end implementation planning.