Get started

Workloom (wl) is a CLI for managing AI coding assistant configs across your workspaces. Install it in one command — no Node.js required.

Install

macOS / Linux

$curl -fsSL https://raw.githubusercontent.com/catesandrew/workloom-baro-x-releases/main/scripts/install.sh | bash

Windows (PowerShell)

$irm https://raw.githubusercontent.com/catesandrew/workloom-baro-x-releases/main/scripts/install.ps1 | iex

Downloads the prebuilt binary for your platform (macOS/Linux, x64/arm64; Windows x64) from GitHub Releases and verifies its SHA-256 checksum. Installs to ~/.local/bin (%LOCALAPPDATA%\Workloom\bin on Windows). Prefer a manual install? Grab the wl-windows-x64.exe or platform binary from the Releases page.

Pre-launch builds aren't code-signed yet, so the OS may warn on first run (they're checksum-verified and CI-built). On macOS a manually-downloaded binary needs xattr -d com.apple.quarantine ./wl; on Windows, SmartScreen → More info → Run anyway. Full steps in running unsigned builds.

Quick start

1. Initialize a workspace manifest

$wl init

2. Validate your config

$wl validate workloom.workspace.json

3. Preview what would be rendered (no files written)

$wl render -w workloom.workspace.json --dry-run

4. Apply projections to disk

$wl sync -w workloom.workspace.json

What you can do

Browse the registry

Reuse published AI-assistant config packages instead of hand-rolling every dotfile.

One source of truth

Define rules once in a manifest; render CLAUDE.md, AGENTS.md, and more from it.

Detect drift

Catch hand-edited generated configs and restore or block them in CI.

Documentation

Browse the public docs on GitHub Pages:

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