bootstrap-uv-python-workspace

To scaffold a uv Python workspace with multiple packages, run scripts/init_uv_python_workspace.sh --name my-workspace. It generates single-project and multi-package layouts with package/service profiles, layered YAML customization, and initializes pytest, ruff, and mypy tooling.

A uv Python workspace standardizes Python development across teams by providing deterministic scaffolding for single-project and multi-package layouts. You need one to ensure consistent setup, tooling initialization, and package profiles across your development environment.

Git is an optional dependency for bootstrapping a uv Python project. The Skill enforces required prerequisites such as uv, but git initialization is optional and can render ready-to-use scaffolds with an optional initial commit if enabled.

You can customize the Python version when creating a uv workspace through layered YAML customization. This configuration also supports specifying package/service profiles and enabling optional git initialization during the scaffolding process.

A scaffolded uv Python project includes built-in dev tooling initialization for pytest, ruff, and mypy. It also generates README scaffolds and validates target directories before rendering the ready-to-use workspace layout.

The best way to standardize Python project setup across a team is using deterministic uv-based scaffolding. It creates consistent project and workspace structures with package/service profiles, YAML customization, and unified tooling initialization to eliminate configuration drift.