Manage Python Env
Helps with management, Python as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add manage-python-env npx -- -y @trustedskills/manage-python-env
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"manage-python-env": {
"command": "npx",
"args": [
"-y",
"@trustedskills/manage-python-env"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows an AI agent to create, activate, and manage Python virtual environments. It can generate a new environment with specified packages, or switch between existing ones. This ensures project dependencies are isolated and prevents conflicts when working on multiple projects simultaneously.
When to use it
- Setting up a development environment for a new Python project.
- Switching between different versions of Python packages required by various projects.
- Creating an isolated environment to test experimental code without affecting the main system.
- Reproducing a specific software setup based on a
requirements.txtfile.
Key capabilities
- Create virtual environments
- Activate existing environments
- Install packages into environments
- Manage dependencies using
requirements.txt
Example prompts
- "Create a new Python environment named 'my_project' with requests and flask installed."
- "Activate the virtual environment called 'dev'."
- “Generate a requirements file from my current environment.”
Tips & gotchas
This skill requires Python to be installed on the system. Ensure that the agent has access to the correct Python interpreter when creating or activating environments.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.