ssh-gui
Skill28 starsChanged 7 months agoNo licenceView on GitHub
Drive the graphical desktop of a remote macOS machine over plain ssh, with no VNC, no screen sharing and no agent installed on the far side. Gives you clicks, drags, keystrokes, text entry, menu navigation, window geometry and screenshots through cliclick, screencapture and the accessibility API, with a coordinate model that actually lines up on Retina displays and a preflight that tells you which of the three macOS permissions is missing before you waste a click. Use this whenever the task is to operate the GUI of a Mac you reach by ssh: a headless Mac mini or Mac Studio, a build or CI Mac, a second machine on the desk, a Mac in a rack or a colo. Trigger on "control the GUI over ssh", "click something on my mini", "automate the remote Mac desktop", "screenshot the other Mac", "drive an app on the headless Mac", "cliclick over ssh", "no VNC available". Not for controlling a virtual machine's guest OS (drive the guest from inside instead) and not for web pages (use a browser automation tool).
- Installs packages
In this repository23 other files it gives its agents.
- ai-gatewaySkill
- code-styleSkill
- context-auditSkill
- cursor-agentSkill
- dynamic-agentsSkill
- gh-uploadSkill
- handoff-to-worktreeSkill
- handsfreeSkill
- medium-researchSkill
- park-workspaceSkill
- pr-handoffSkill
- root-causeSkill
- saySkill
- screencastSkill
- share-fileSkill
- skillifySkill
- supply-chain-protectionSkill
- temp-emailSkill
- tldrSkill
- token-burnSkill
- use-skillSkill
- windowsSkill
- wisprSkill
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 6 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
3
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?
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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.
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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.

