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Python Venv Manager

  • 192 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Create, activate, and maintain isolated Python virtual environments when developing or running agent skills and Python services without polluting global site-packages.

About

Guides creation and management of Python virtual environments tailored for agent skill repositories, ensuring dependency isolation, reproducible package installs, and clean activation workflows during local development and skill execution.

  • venv create and activate
  • dependency isolation
  • reproducible installs
  • agent skill runtime
  • local dev setup

Python Venv Manager by the numbers

  • 192 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #66 of 290 Python skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill python-venv-manager

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Listed on Skillselion
Installs192
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Create, activate, and maintain isolated Python virtual environments when developing or running agent skills and Python services without polluting global site-packages.

Files

SKILL.mdMarkdownGitHub ↗

Python Virtual Env Manager

Purpose and Intent

Setup and validate Python virtual environments (venv, virtualenv, conda). Use to ensure isolated dependencies and correct Python versions for projects.

When to Use

  • Project Setup: When initializing a new Python project.
  • Continuous Integration: As part of automated build and test pipelines.
  • Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

  • Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

  • Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
  • Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

  • All analysis is performed locally.
  • No source code or credentials are ever transmitted externally.

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