A high-performance Python package installer and resolver written in Rust that serves as a drop-in replacement for pip and poetry.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fix-build-agentops-uv-package-manager
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fix-build-agentops-uv-package-manager using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is UV Package Manager?
UV is an extremely fast Python package manager and resolver designed to modernize the Python ecosystem. Written in Rust, it provides a unified interface for installing Python versions, managing virtual environments, and handling dependencies with speeds 10-100x faster than traditional tools like pip. By leveraging a global cache and advanced resolution logic, it ensures efficient disk usage and reproducible builds across different development environments.
This Openclaw Skills module enables developers to streamline their Python workflows, significantly reducing setup time for projects and CI/CD pipelines. Whether you are migrating from poetry or simply looking to replace pip-tools, this skill provides the patterns needed to maintain a high-velocity development cycle with minimal friction.
UV Package Manager Use Cases
- Setting up new Python projects with optimized structures and configuration.
- Migrating existing projects from pip, poetry, or pip-tools to a faster workflow.
- Managing multiple Python interpreters and virtual environments on a single machine.
- Speeding up CI/CD pipelines and Docker builds through advanced caching mechanisms.
- Handling complex dependency resolution in monorepos using workspaces.
How UV Package Manager Works
- Initialize a new project using the uv init command to generate standardized configuration files like pyproject.toml.
- Install and pin specific Python versions directly through the tool without needing external managers.
- Define and resolve dependencies with a blazing fast resolver that generates a deterministic uv.lock file.
- Manage virtual environments automatically using the uv venv command for isolated development.
- Execute scripts and tools within the managed environment using uv run to ensure consistent runtime behavior.
UV Package Manager Setup
To get started with this skill on your local environment, use one of the following installation methods:
# macOS/Linux installation
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
# Alternative via pip
pip install uv
After installation, verify the setup by running uv --version. You can then initialize a project with uv init to begin using Openclaw Skills patterns for Python management.
UV Package Manager Data Schema & Taxonomy
The skill organizes Python project data through several key configuration files and directory structures:
| File/Directory | Description |
|---|---|
pyproject.toml |
The primary configuration file defining project metadata and dependencies. |
uv.lock |
A machine-generated lockfile ensuring exact, reproducible dependency trees. |
.python-version |
A file that pins the specific Python interpreter version for the project. |
.venv/ |
The default directory for the project's virtual environment. |
.cache/uv |
Global cache directory used to store downloaded packages and metadata across projects. |
UV Package Manager Advanced Features
- Integrated Workspace Support: Easily manage multi-package monorepos with a root pyproject.toml and shared lockfiles.
- Optimized Docker Builds: Use multi-stage builds and the --frozen flag to create lightweight, secure containers.
- CI/CD Acceleration: Native GitHub Actions support with enable-cache: true for ultra-fast pipeline execution.
- Custom Package Sources: Configure git, path, or URL-based dependencies directly in the project configuration.
- Offline Mode: Perform installations and syncs entirely from the global cache without requiring a network connection.
SKILL.md
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