tools-python
Installation
SKILL.md
Python tools
Dependency, complexity, and quality evidence for Python targets. These cover the import graph, layering contracts, type state, dead code, and dependency hygiene.
Evidence dimensions: dependency, structural, semantic (type checkers), and complexity hotspots.
When to use
Use when the system map shows pyproject.toml / setup.py / requirements.
Pick to the question: layering contracts (import-linter), module graph (pydeps),
types (pyright/basedpyright), lint (ruff), dependency hygiene (deptry,
pipdeptree, uv tree), complexity/size (radon, lizard), dead code (vulture). Use
the results to judge module boundaries, dependency direction, cohesion, and
architecture fitness.