Does this skill support specific Python versions?

Yes, the venv-manager can create environments using specific versions (e.g., python3.11) provided the interpreter is available on your system.

Can it handle both requirements.txt and pyproject.toml?

Yes, it is designed to recognize and install dependencies from both standard requirements files and modern PEP 517/518 pyproject.toml configurations.

How does it handle installation or activation errors?

It utilizes a specialized Recovery Protocol that pauses to diagnose the error, suggests an alternative approach, and allows for up to three retry attempts before escalating.

What happens if a virtual environment already exists?

The skill includes a grounding checkpoint that detects existing environments and will ask for user confirmation before performing any destructive actions like replacement.

Python Virtual Environment Manager

Name: Python Virtual Environment Manager
Author: jmagly

byjmagly

•

開発者ツール

Automates the creation, management, and validation of Python virtual environments to ensure isolated and consistent development setups.

概要

The venv-manager skill provides a robust framework for managing Python virtual environments within the Claude Code ecosystem. It handles the end-to-end lifecycle of project isolation, from verifying Python interpreter versions and creating environments to installing dependencies via requirements.txt or pyproject.toml. Specifically designed for agentic workflows, it includes built-in grounding checks to prevent environment conflicts and a structured recovery protocol for handling installation failures, ensuring your Python projects remain stable and dependency-compliant with minimal manual intervention.

主な機能

Automated creation of virtual environments with customizable naming
67 GitHub stars
Smart dependency installation from requirements.txt and pyproject.toml
Environment validation using pip check and health logging
Built-in recovery protocol for troubleshooting corrupted environments
Pre-execution grounding checks for Python version and directory permissions

ユースケース

Setting up isolated development environments for new Python projects
Resolving environment conflicts and performing clean environment rebuilds
Automating dependency management and lockfile generation

概要

主な機能

Automated creation of virtual environments with customizable naming
67 GitHub stars
Smart dependency installation from requirements.txt and pyproject.toml
Environment validation using pip check and health logging
Built-in recovery protocol for troubleshooting corrupted environments
Pre-execution grounding checks for Python version and directory permissions

ユースケース

Setting up isolated development environments for new Python projects
Resolving environment conflicts and performing clean environment rebuilds
Automating dependency management and lockfile generation