MLVisions

You can plan and execute Python package refactoring, run validation checks covering linting, typing, tests, coverage, and docs, create and run pytest test suites with coverage measurement, and manage documentation including docstrings, shared parameter docs, and cross-references.

They target Python package maintainers and software engineers handling major code changes, architecture improvements, bug fixes, or code debt. They suit developers who need structured support for refactoring, pre-commit validation, test authoring, and documentation quality.

Use validation when changing package code, before commits, after refactoring, or when checking package health. Use testing when adding new functions, fixing bugs, refactoring, or improving coverage, including verifying that public examples still work.

It manages Python package documentation: writing docstrings, maintaining shared parameter documentation, adding cross-references, and grouping related functions. Use it when creating new functions, updating function signatures, or raising overall documentation quality.

You need an existing Python package codebase. The skills operate on package code, tests, and docs, leveraging pytest for testing and standard linting, typing, coverage, and documentation checks as described in each skill's manifest.