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cccskills
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python-env

Set up a Python environment inside the project and install its packages. Follow existing environment tools when present, avoid changing the system Python, and provide commands that work from a fresh shell.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Setting up or installing into a Python environment. One rule applies whether or not you read the body - the environment belongs with the project, so create it inside the project directory (.venv) or let uv manage it, and never in a scratch directory like /tmp and never by forcing an install into the system interpreter. Load the body before creating a virtualenv, choosing an installer, or writing run instructions for a Python project.

설치 방법 보기

이럴 때 유용합니다

  • Set up an environment for a new Python project
  • Install packages into an existing project environment
  • Resolve an externally-managed-environment installation error
  • Prepare commands for running the project later

포함된 파일(1)

  • SKILL.md2.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Python environments

The environment is part of the project, not scratch space. A user who opens the project tomorrow, or clones it on another machine, should find the environment where their editor, their tooling, and their habits expect it.

Where it goes

Create it inside the project directory — .venv at the project root is the convention nearly every editor and tool auto-detects:

python3 -m venv .venv
source .venv/bin/activate
pip install -e .

For a greenfield project, prefer uv, which manages a project-local .venv for you and is much faster:

uv venv
uv pip install -e .      # or `uv sync` when there is a lockfile
uv run python -m yourpkg # runs in the project env without activating

Never put the environment in /tmp, ~/envs, or any other scratch location outside the project. It is invisible to the user's tooling, it is not what they will look for, and on /tmp it is deleted out from under them.

PEP 668: "externally-managed-environment"

Homebrew, Debian, and Ubuntu mark the system interpreter as externally managed, so pip install outside a virtualenv refuses with:

error: externally-managed-environment

That is the signal to create the project environment — not an obstacle to work around. Do not pass --break-system-packages, set PIP_BREAK_SYSTEM_PACKAGES, or delete the EXTERNALLY-MANAGED marker: those mutate an interpreter the OS owns, leave the project with no environment of its own, and can break other software on the machine.

Hand off commands the user can run

Write the run instructions against the project environment, so they work from a fresh shell in the project directory:

source .venv/bin/activate
python -m yourpkg ...

or, with uv, uv run python -m yourpkg ....

Do not hand back absolute paths into an environment outside the project (/tmp/whatever/bin/python -m yourpkg). Even when they work right now, they tell the user their project has no environment of its own.

Respect what is already there

If the project already has an environment or a declared tool — a .venv, a uv.lock, Poetry, Pipenv, conda — use it rather than introducing a second one. Check before creating.

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