Open CLI

hatch

scriptablepackage management
$ pipx install hatch
Summary

Python projects, env management, and builds from the terminal.

  • hatch fits local ai well, especially for python projects, env management, and builds from the terminal.
  • 688 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-hatch-SKILL.md

Hatch guide

Python projects, env management, and builds from the terminal. Built by Hatch.

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 projects, env management, and builds from the terminal.
  • You need packages and builds in both local dev and CI.
  • You need python projects.
  • You need env management.
  • You need builds.

Quick reference

Installpipx install hatch
Verifyhatch --version
First real commandhatch new demo && hatch run test

Open CLI × skills.sh

Open CLI integrates hatch 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 hatch 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.

Also useful from skills.sh
Workflow Automationskills.shBackend Testingskills.sh

Why this tool

  • hatch fits local ai well, especially for python projects, env management, and builds from the terminal.
  • 688 homebrew installs (30d).
  • Easy to automate.

Watch-outs

  • Output is mostly plain text.

Example workflow

1. hatch new demo && hatch run test

Safe start

Step 1

Install hatch.

Step 2

Run `hatch --version` first.

Step 3

Start with `hatch new demo && hatch run test`.

Step 4

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

Alternatives worth considering

vite

Frontend dev server, build tooling, and scaffolding from the terminal.

pnpm

Monorepos, fast installs, and disk efficiency from the terminal.

turbo

Monorepos, build caching, and task pipelines from the terminal.