Manage Python projects with uv for dependencies, environments, versions, and scripts.
npx skills add https://github.com/lanej/dotfiles --skill python-lanej
Please help me install this Agent Skill. Skill: python Source: https://github.com/lanej/dotfiles/tree/main/claude/skills/python Command: npx skills add https://github.com/lanej/dotfiles --skill python-lanej
This Skill eliminates the complexity and slowness of traditional Python project management tools like pip, virtualenv, poetry, and pyenv. It streamlines your workflow with uv, an extremely fast, all-in-one solution.
uv add and uv sync.uv run.uv python install and uv python pin.requests and pandas as dependencies, and then run your main.py script, all without manually creating virtual environments or waiting for slow installs.Run the Python script 'analyze.py' with the 'requests' and 'pandas' libraries.
High-intent search queries and answers about installing and using this skill.
uv is a fast, all-in-one replacement for pip, virtualenv, poetry, and pyenv. It handles dependency management, virtual environment creation, and Python version pinning in a single tool, eliminating the slowness and complexity of traditional workflows.
Run `uv init` to scaffold a project, then use `uv add` to install dependencies and create a lockfile automatically. uv handles virtual environment setup and dependency resolution in seconds without manual configuration.
Yes. `uv run` executes scripts and modules with automatic virtual environment handling. Dependencies are synced and isolated per-invocation, so you skip activation steps entirely.
Use `uv python install` to download a version and `uv python pin` to lock it to your project. uv manages multiple Python versions without pyenv, making version control reproducible across environments.
Run `uv sync` to install exact versions from a lockfile created by `uv lock`. This ensures reproducible builds and eliminates dependency drift between local, CI, and production setups.
Yes. uv includes `uv build` and `uv publish` commands for packaging and distribution. It integrates with your project's pyproject.toml to streamline the build-and-release workflow.
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