uv-research-workspace

What problem does it solve?

This Skill streamlines the management of complex Python research projects by enabling the use of uv workspaces, which allow multiple Git sub-repositories to share a single virtual environment, promoting modularity and reproducibility.

Core Features & Use Cases

• Shared Environment: All sub-repositories within the workspace utilize a single .venv for dependency management.
• Modularity and Reusability: Encourages splitting code into independent, reusable Git repositories.
• Reproducibility: Ensures consistent dependency locking across all parts of the project.
• Use Case: Setting up a new multi-repository Python project where different components (e.g., data processing, analysis scripts, utility functions) are managed as separate Git repositories but share a unified development environment.

Quick Start

Create a new uv workspace for your research project by initializing a root directory and configuring its pyproject.toml file.