sync-deps

Syncing dependencies across requirements.txt and pyproject.toml is done by scanning source files and notebooks for third-party imports, resolving PyPI package names, and updating all manifests to reflect the installed versions.

Preventing dependency drift in a Python project is achieved by deriving dependencies directly from actual code imports, creating a single source of truth that eliminates manual bookkeeping and ensures manifests stay aligned with your codebase.

Dependency synchronization works with Jupyter notebooks and environment.yml files by scanning notebooks for third-party imports alongside Python source files, then updating environment.yml, setup.cfg, requirements.txt, and pyproject.toml with resolved versions.

Updating requirements.txt after adding new imports is handled by running the synchronization script, which detects the new third-party imports in your source files, resolves their PyPI package names, and writes the installed versions to requirements.txt.

Managing dependencies across multiple manifest formats simultaneously is supported by updating requirements.txt, pyproject.toml, environment.yml, and setup.cfg in one pass, ensuring all files reflect the same resolved PyPI package versions from your code imports.

Dependency files drift from actual Python imports when manifests are maintained manually, a problem this Skill solves by automatically scanning source files and notebooks to derive dependencies directly from code, ensuring manifests match the real imports.