Standardize Python workflows with uv for environments, dependencies, and commands.
npx skills add https://github.com/gakonst/dotfiles --skill python-uv
Please help me install this Agent Skill. Skill: python-uv Source: https://github.com/gakonst/dotfiles/tree/main/.codex/skills/python-uv Command: npx skills add https://github.com/gakonst/dotfiles --skill python-uv
This Skill addresses the common pain points in Python development: slow dependency resolution, inconsistent environments, and non-reproducible builds caused by fragmented tooling (pip, venv, pip-tools). It enforces uv as the single, fast, and reliable solution for package management, ensuring consistent and efficient workflows.
pip, virtualenv, and pip-tools with uv for environment creation, dependency installation, and package locking.uv.lock to pin exact dependency versions, guaranteeing consistent builds across all environments (local, CI, production).pytest, ruff, mypy) through uv run, leveraging uv's speed and caching for rapid feedback.uv venv .venv && source .venv/bin/activate && uv sync to set up a fully reproducible and optimized development environment in seconds.To set up a new Python virtual environment and install dependencies using uv, run 'uv venv .venv && source .venv/bin/activate && uv sync' in your project directory.
High-intent search queries and answers about installing and using this skill.
Use uv to create a reproducible Python environment by running `uv venv .venv && source .venv/bin/activate && uv sync`. This generates and commits a `uv.lock` file that pins exact dependency versions, ensuring consistent builds across local, CI, and production environments.
Replace pip, venv, and pip-tools with uv for unified package management. uv resolves dependencies faster, creates virtual environments instantly, and executes all Python commands through `uv run` for rapid feedback with built-in caching.
Yes, uv standardizes all Python workflows across your repository. Run `uv run pytest`, `uv run ruff`, and `uv run mypy` in CI to guarantee reproducible execution aligned with local development, avoiding system-site-packages and fragmented tooling.
Fragmented tooling (pip, venv, pip-tools) causes slow dependency resolution and non-reproducible builds. uv solves this by enforcing a single, fast tool with committed `uv.lock` and `pyproject.toml` files that synchronize environments everywhere.
New developers run `uv venv .venv && source .venv/bin/activate && uv sync` once to install all pinned dependencies from `uv.lock` in seconds, eliminating setup friction and environment drift.
Mahaboob26Automate Python environment setup for Streamlit projects with uv.
Ced3-hanAutomate build, type, lint, test, security, and diff checks before pull requests.
bennybennisonRun sequential build, type, lint, test, security, and diff checks.
jholhewresManages Python dependencies with pip, poetry, pipenv and virtual environments.