Detect Python versions and create or activate Conda environments.
npx skills add https://github.com/fancive/claude-skills --skill pyenv
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
Setup Python projects with local Conda environments to save disk space and avoid unnecessary venvs.
Configure a local Conda environment for your Python project.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
sayalinvidiaInstall cuPyNumeric via conda or pip and verify in an isolated environment.
MusserLabStandardize conda environment activation and package management for Python workflows.
pratosSet up Python projects with uv, ruff, and pytest.
jmaglyCreate and validate Python virtual environments with dependency installation.
