Python Config Manager

What it does

The python-config-manager skill enables AI agents to programmatically manage Python package environments. It allows for the discovery, installation, and configuration of specific Python libraries directly within an agent's execution context.

When to use it

• Setting up a fresh development environment with required dependencies before running a script.
• Installing specific versions of a library to ensure reproducible builds across different agents.
• Adding missing packages when an agent encounters an ImportError during task execution.
• Preparing a sandboxed environment for testing code snippets that rely on external tools like requests or pandas.

Key capabilities

• Package Discovery: Identifies available Python libraries and their metadata.
• Installation: Installs specific packages or versions into the current environment.
• Environment Management: Configures the runtime context to include newly installed dependencies.

Example prompts

• "Install beautifulsoup4 version 4.12.0 so I can parse HTML in my next script."
• "Check if numpy is available; if not, install it and confirm the installation."
• "Set up a Python environment with scikit-learn for me to run a machine learning model."

Tips & gotchas

Ensure you have write permissions to the target directory where packages will be installed. If an agent fails to import a module, explicitly request the skill to install that specific package before retrying the code execution.