auto-import-rules

To enforce Python import conventions in a dlt project, use this Skill to automatically format imports into standard library, third-party, and local groupings within the dlt/ and tests/ directories. This ensures code maintainability and clarity by applying strict import ordering rules.

Correct Python import ordering for dlt code style requires grouping imports into standard library, third-party, and local dlt categories. This mechanism improves code readability and maintainability across all Python files in the dlt/ and tests/ directories.

Yes, the dlt project logging convention promotes using `dlt.common.logger` over the standard Python `logging` module. This ensures consistent logging practices and proper integration with the dlt framework's internal conventions.

To manage type checking imports for optional dependencies in Python, this Skill enforces specific import styles for type annotations. It ensures optional dependencies are handled correctly without breaking the standard library, third-party, and local import groupings.

No, these import linting rules specifically apply to Python files within the dlt/ and tests/ directories. The Skill enforces dlt project conventions strictly within these specified paths to maintain code style and clarity.