Manage Python environments and dependencies with uv.
npx skills add https://github.com/led8/.codex --skill python-uv-led8
Please help me install this Agent Skill. Skill: python-uv Source: https://github.com/led8/.codex/tree/main/skills/python-uv Command: npx skills add https://github.com/led8/.codex --skill python-uv-led8
This Skill removes friction from Python development by consolidating interpreter selection, virtual environment handling, dependency management, and command execution under the uv tool so agents avoid ad hoc use of python, pip, or manual venv activation.
Run uv sync to install project dependencies from uv.lock and then run tests with uv run pytest.
High-intent search queries and answers about installing and using this skill.
You can run pytest without manual venv activation by using uv run pytest, which automatically creates and manages the Python environment before executing the command. This replaces manual python and pip workflows.
uv handles Python dependency locking by generating a reproducible uv.lock file when you add, remove, sync, or upgrade packages. This ensures deterministic installs across CI pipelines and local development environments.
Yes, you can use uv for Python version pinning in CI pipelines and Docker builds. uv installs and pins specific Python versions with uv python and generates a .python-version file for reproducible automated environments.
The best way to replace manual python, pip, and venv workflows is by using uv to centralize package installation, environment creation, and command execution under a single unified tool for local development and CI.
You initialize a new Python project with pyproject.toml using uv init, which generates the project configuration and .python-version file automatically to establish a reproducible environment setup.
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leonardodalinkyInstall Python packages and manage virtual environments with uv.
