Solutions

Workloom serves the developer who wants the same AI setup on every machine, the platform team that shares it across repositories, and the reviewer who has to trust what lands on disk.

See use cases

For individual developers

Your AI tool config, installed like dotfiles on every machine.

`wl install` puts a package into your home workspace; `wl upgrade` keeps it current.
Template tokens adapt paths to each machine, and secrets resolve from your keychain.
`wl uninstall` and `wl unbind` remove exactly what Workloom wrote.

For platform teams

One versioned source for instructions, skills and hooks across repositories.

Publish packages to the registry and pin them per workspace and target.
Run `wl sync --check` in CI and send drift reports to the registry.
Share a workspace through the public catalog so others can fork it.

For security reviewers

Nothing executable lands on a machine without a gate.

Trust classes on every asset; hooks, MCP servers and wildcards are gated before any write.
Plugins install only from each user’s approved-plugins allowlist.
Package approvals and the audit log record who approved what.