pyenv

Detect Python versions and create or activate Conda environments.

Updated Aug 27, 2026

Search Tags:#python #environment #virtualenv #conda #pyenv

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npx skills add https://github.com/fancive/claude-skills --skill pyenv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pyenv
Source: https://github.com/fancive/claude-skills/tree/main/skills/pyenv
Command: npx skills add https://github.com/fancive/claude-skills --skill pyenv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Setup Python projects with local Conda environments to save disk space and avoid unnecessary venvs.

Core Features & Use Cases

Detects Python version from user input or common config files (.python-version, pyproject.toml, setup.py) and selects or creates a matching Conda environment.
Activates an existing environment or creates a new one and prints the activation command for the terminal.
Enforces policy to never create .venv and prioritizes Conda environments for reproducibility and space efficiency.
Use Case: Quickly align multiple Python projects to their own Conda environments to reduce duplication and improve isolation.

Quick Start

Configure a local Conda environment for your Python project.

Frequently Asked Questions about pyenv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up a Python project with a local Conda environment?▼

Setting up a Conda environment involves detecting the Python version from files like pyproject.toml or user input, then creating or activating a matching environment and printing the activation command for the terminal.

How does Conda save disk space compared to virtualenv for Python environments?▼

Conda saves disk space compared to virtualenv by avoiding the creation of duplicate .venv directories. It enforces a policy to never create .venv and prioritizes Conda environments to improve isolation and reduce unnecessary duplication across multiple projects.

Do I need Conda installed locally to configure Python environments this way?▼

Yes, you need Conda installed locally. The tool requires a local Conda installation to detect Python versions, create or activate environments, and manage dependency installation reproducibly.

What is the best way to detect the Python version required for a project?▼

The best way to detect the required Python version is by reading common configuration files like .python-version, pyproject.toml, or setup.py. If these are absent, the tool accepts the Python version directly via user input.

Conda vs virtualenv: which should I use for reproducible Python environments?▼

Use Conda over virtualenv for reproducible Python environments to save disk space. The tool enforces a policy to never create .venv directories, prioritizing Conda to reduce duplication and improve isolation across projects.