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Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When starting a new Python project, reorganizing an existing codebase, defining public APIs with __all__, or planning directory layouts and module boundaries.
__all__ to separate public from internalA well-organized Python project with clear module boundaries, explicit public APIs, and maintainable directory layout that makes code discoverable and changes predictable.
Use Cases
A developer is starting a new Python library and is unsure how to lay out packages and define the public API. They use this skill to apply the src-layout, set `__all__` in `__init__.py`, and choose a flat service/model structure. Result: a clean, importable package with explicit interfaces that is easy for others to adopt and extend.
A team inherits a messy Python codebase with deep nesting and unclear imports. They apply this skill to flatten directories, introduce `__all__` per module, and standardize on absolute imports and snake_case names. Result: reduced cognitive load, fewer broken imports after moves, and predictable change impact.
Skill Relationships
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