managing-python-dependencies

What problem does it solve? It prevents broken Python environments caused by running global pip install or mixing dependency managers, ensuring every package is installed through the project's established tooling. ## Core Features & Use Cases - Dependency Manager Detection: Scans the workspace for signal files like uv.lock, pyproject.toml, Pipfile, environment.yml, and requirements.txt to identify the correct tool. - Tool-Specific Install Commands: Maps each detected manager (uv, Poetry, Pipenv, Conda, venv+pip) to its proper install and setup commands. - Safe Default Workflow: Falls back to an isolated .venv with explicit .venv/bin/pip paths and requirements.txt freezing when no manager is found. - Use Case: When adding a new library like requests to a Poetry-based project, the Skill directs the use of poetry add requests instead of a global pip install, keeping the lockfile consistent. ## Quick Start Ask the assistant to add a new Python package to your project and it will detect the dependency manager and use the correct install command.