poetry

scriptablepackage management
$ curl -sSL https://install.python-poetry.org | python3 -
Summary

Python packaging, dependencies, and virtualenvs from the terminal.

  • poetry fits local ai well, especially for python packaging, dependencies, and virtualenvs from the terminal.
  • 4,413 homebrew installs (30d).
  • Easy to automate.
  • Good fit for coding-agent workflows and repeatable scripts.
  • Output is mostly text-first, so verify results before scripting around it.
ai-poetry-SKILL.md

Poetry guide

Python packaging, dependencies, and virtualenvs from the terminal. Built by Poetry.

Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.

When to apply

  • python packaging, dependencies, and virtualenvs from the terminal.
  • You need packages and builds in both local dev and CI.
  • You need python packaging.
  • You need dependencies.
  • You need virtualenvs.

Quick reference

Installcurl -sSL https://install.python-poetry.org | python3 -
Verifypoetry --version
First real commandpoetry new demo && cd demo && poetry install

Open CLI × skills.sh

Open CLI integrates poetry with the right skills.sh companions so you get the tool and the workflow together.

Environment Setup

Recommended pairing

Open CLI recommends this skills.sh skill because it fits package management workflows. Get local toolchains installed and repeatable before deeper automation.

View on skills.sh
$ npx skills add https://github.com/supercent-io/skills-template --skill environment-setup
Starter prompt

Use poetry together with the Environment Setup skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.

Why this tool

  • poetry fits local ai well, especially for python packaging, dependencies, and virtualenvs from the terminal.
  • 4,413 homebrew installs (30d).
  • Easy to automate.

Watch-outs

  • Output is mostly plain text.

Example workflow

1. poetry new demo && cd demo && poetry install

Safe start

Step 1

Install poetry.

Step 2

Run `poetry --version` first.

Step 3

Start with `poetry new demo && cd demo && poetry install`.

Step 4

Install the CLI and any required runtime, model, or Python environment.

Alternatives worth considering