agentleFS
biyearly-mesothelioma790biyearly-mesothelioma790/skills/new-mac-setup/SKILL.md

new-mac-setup

Skill0 starsChanged 8 months agoNo licenceView on GitHub

Fully automated new Mac setup for fullstack web developers and AI engineers. Generates and executes idempotent shell scripts to install dev tools, CLI utilities, GUI apps, AI/ML tooling, shell config, and macOS preferences — all via Homebrew, fnm, uv, and defaults commands. Use this skill whenever someone says "set up my Mac", "new Mac setup", "configure my dev machine", "install my dev tools", "fresh Mac install", "developer environment setup", or anything about bootstrapping a macOS machine for development. Also trigger when someone mentions setting up Homebrew, Oh-My-ZSH, Node.js, Python, Docker, or terminal configuration on a new Mac — even if they don't call it a "setup". This skill is opinionated and based on real-world experience setting up M-series Macs for fullstack JS/TS + Python + AI development.

  • Installs packages

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

12 rules. About 0 are common, 5 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.