What problem does it solve? It replaces the fragmented pip/python/venv toolchain with uv, so scripts run with correct dependencies and Python versions without manual virtualenv setup or pycache clutter. ## Core Features & Use Cases - Script Execution: Run scripts with uv run script.py, pass ad-hoc dependencies via --with, or target specific Python versions. - Inline Script Metadata: Declare requires-python and dependencies directly inside a standalone script, then lock them with uv lock --script for reproducibility. - Build Backend Guidance: Configure uv_build in pyproject.toml for pure Python packages, including src layouts, namespace packages, and file inclusion rules. - Use Case: You need to share a one-off data-fetching script with a colleague. Add inline metadata with httpx as a dependency, and they can run it directly with uv run or even as an executable via the uv shebang line. ## Quick Start Ask the AI to run your Python script with uv, declaring its dependencies inline so it executes reproducibly without creating a virtualenv.