tool-uvlisted

<!-- Generated by `basicly skills-build` from skill.yaml. Do not edit; edit the source. --> # tool-uv ## When To Use - Manage Python environments and dependencies quickly. - Run project commands in the correct managed environment. - Bootstrap, lint, test, and typecheck Python workflows. ## Trusted Commands ```bash uv venv uv pip install requests uv pip install -r requirements.txt uv pip compile requirements.in -o requirements.txt uv run --with requests script.py uv init my-project uv add requests uv sync uv run pytest tests/ uv run pyright . ``` ## Safe Defaults - Use `uv run` for project commands to avoid environment drift. - Keep dependency and lockfile changes explicit and reviewed. - Confirm with user before adding/upgrading dependencies. ## Common Pitfalls - Running tools outside uv can select the wrong interpreter. - Assuming system Python version matches project constraints. - Mixing ad-hoc pip workflows with managed uv project flows. ## Output Interpretation - `uv sync` reports dependency resolution and installation updates. - `uv run` failures usually point to tool/code issues, not uv itself. - `uv pip` commands remain broadly pip-compatible. ## Why It Matters For Agents - Dramatically reduces dependency setup time. - Provides a consistent execution wrapper for deterministic automation. ## Repo Conventions - Python workflows in this repository are uv-managed. - Run lint, type checks, and tests for behavior changes before completion. ## Trigger Example