A specialized skill for managing Python project setups, virtual environments, and dependency installations with a focus on reproducibility and safety.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install python3
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 python3 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 Python?
This Openclaw Skills extension empowers AI agents to handle Python development tasks with high precision and reliability. It prioritizes project-local virtual environments over global installations to maintain system stability and prevent dependency hell. By leveraging standardized workflows for dependency management and script execution, it ensures that Python code runs consistently across different development shells and local environments.
The skill is designed to be low-risk, implementing safety defaults that prefer explicit interpreter paths and local isolation. Whether you are bootstrapping a new project or fixing complex resolver conflicts, this skill provides the necessary tooling to keep your Python environment healthy and your builds reproducible.
Python Use Cases
- Setting up a reproducible development environment for new Python projects.
- Managing and updating project dependencies via requirements.txt or pyproject.toml.
- Troubleshooting common interpreter mismatches and missing module errors.
- Automating the creation and maintenance of project-specific virtual environments.
- Executing test suites and linting tools within isolated environments.
How Python Works
- The skill first detects the current system environment by verifying the Python version and active interpreter path using sys.executable.
- It creates or refreshes a local virtual environment (.venv) using the bundled python_env_tool.py helper to ensure isolation.
- Dependency management is performed by inspecting and installing packages from configuration files like requirements.txt or pyproject.toml.
- All subsequent tasks, such as running pytest or pip list, are executed directly via the venv interpreter to avoid path conflicts.
- The skill continuously monitors for common errors like externally-managed-environment to guide the user toward best practices.
Python Setup
To get started with this skill, ensure that Python 3 and pip are available on your system. Use the following commands based on your operating system:
# For macOS users via Homebrew
brew install python
# For Ubuntu/Debian users via APT
sudo apt install python3-pip
# Verify installation
python3 --version
The Openclaw Skills Python module will automatically utilize the python_env_tool.py helper located in your project's scripts directory for all environment operations.
Python Data Schema & Taxonomy
The skill interacts with and generates the following environment structures:
| File/Folder | Purpose |
|---|---|
| .venv | The standard directory for local virtual environments and isolated binaries. |
| pyproject.toml | The primary configuration file used for project metadata and modern dependency management. |
| requirements.txt | Text files listing specific package dependencies and version constraints. |
| python_env_tool.py | A bundled utility script used for automated bootstrapping and environment diagnostics. |
Python Advanced Features
- Automated recreation of corrupted virtual environments from scratch using the --recreate flag.
- Support for editable package installations to facilitate local development and testing.
- Built-in doctor diagnostic tool to identify and fix interpreter mismatches.
- Proactive resolution of build failures by automatically upgrading pip, setuptools, and wheel.
- Seamless integration with existing dev shells for consistent script execution.
SKILL.md
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