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llm-context

by cyberchitta
--- description: Provides Python-specific style guidelines, including Pythonic patterns, type system usage, class design, import organization, and idioms. Use for Python projects to ensure consistent, readable, and maintainable code. --- ## Python-Specific Guidelines ### Pythonic Patterns - Use list/dict comprehensions over traditional loops - Leverage tuple unpacking and multiple assignment - Use conditional expressions for simple conditional logic - Prefer single-pass operations: `sum(x for x in items if condition)` over separate filter+sum ### Type System - Use comprehensive type hints throughout - Import types from `typing` module as needed - Use specific types: `list[str]` not `list`, `dict[str, int]` not `dict` ### Class Design - Use `@dataclass(frozen=True)` as the default for all classes - Keep `__init__` methods trivial - delegate complex construction to `@staticmethod create()` methods - Design for immutability to enable functional composition - Use `@property` for computed attributes ### Import Organization - Always place imports at module top - Never use function-level imports except for documented lazy-loading scenarios - Import order: standard library, third-party, local modules - Follow PEP 8 naming conventions (snake_case for functions/variables, PascalCase for classes) ### Python Idioms - Use `isinstance()` for type checking - Leverage `enumerate()` and `zip()` for iteration - Use context managers (`with` statements) for resource management - Prefer `pathlib.Path` over string path manipulation

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