project-setup-python

To scaffold an ovrtx Python project, this skill automatically generates a standard project layout, including a pyproject.toml configuration and a minimal main.py, providing a ready-to-run example for quick-start workflows.

The best way to set up an ovrtx Python project using uv is to use this scaffolding skill, which initializes the project structure and configures dependencies like numpy, pillow, warp-lang, and rerun-sdk to validate the setup on first run.

Yes, you can use pip instead of uv to initialize an ovrtx-enabled Python project. The scaffolded project layout and dependency configuration support starter workflows using either uv or pip to run the minimal ovrtx example.

To add common dependencies like numpy and warp-lang to a new Python project, this scaffolding skill provides dependency setup guidance within the generated pyproject.toml, ensuring proper configuration for ovrtx-based apps.

Setting up an ovrtx Python project requires a standard project layout to satisfy repository conventions and reduce configuration errors. This scaffolding skill provides a repeatable structure with necessary files for quick validation.