Architects professional Python project structures with clear module boundaries and explicit public interfaces.
This skill provides specialized guidance for designing maintainable and scalable Python codebases. It helps Claude organize projects using industry-standard patterns, from simple flat layouts to complex domain-driven and layered architectures. By focusing on module cohesion, explicit public API definitions via __all__, and strategic test placement, it ensures that your Python projects remain discoverable, predictable, and easy to navigate as they grow from simple scripts into production-grade packages.
Key Features
010 GitHub stars
02Standardized directory layout generation (src/ layout, flat vs. nested)
03Configurable test organization strategies (Colocated vs. Parallel)
04Explicit public API design using __all__ and package initialization
05Enforcement of absolute import styles and snake_case naming conventions
06Implementation of Layered and Domain-Driven Design (DDD) patterns
Use Cases
01Designing a clean public interface for a library to hide internal implementation details
02Scaffolding a new, production-ready Python repository from scratch
03Refactoring a large monolithic script into a cohesive, modular package
