The ADE for AI agents. Automate everything else. Do your true work.
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Skill Claude CodeCodex
C-ABI bindings over agent-desktop's PlatformAdapter. Consumers (Python ctypes, Swift, Node ffi-napi, Go cgo, C++, Ruby fiddle) link libagentdesktopffi.{dylib,so,dll} and call ad functions directly instead of spawning the CLI binary per call. The canonical observe-act workflow is: adinit → adadaptercreate[withsession]…
Skill Claude CodeCodex
Linux platform guide for the agent-desktop CLI. Lists per command group what works on X11 and on Wayland, how to check the AT-SPI accessibility bus, the first-contact gotchas (app names, Chromium and Electron flags, headed focus, blocked key combos), and where to find lifecycle, screenshot, clipboard, tray…
Skill Claude CodeCodex
Read the core skill first (agent-desktop skills get desktop) for the observe, act, verify loop. This skill covers only what is different on macOS. When a command fails, find the symptom in references/troubleshooting.md.
Skill Claude CodeCodex
Windows platform guide for the agent-desktop CLI. Lists per command group what works on Windows and what refuses, the first-contact gotchas (PowerShell ref quoting, minimized windows, headed-only input), and where to find shell surfaces, notifications, the cursor overlay, UIPI elevation, Chromium/Electron settle…
Skill Claude CodeCodex
Operate desktop applications on macOS, Windows and Linux through native accessibility trees, using the agent-desktop CLI. Use when an AI agent must see or act on a desktop GUI: click buttons, fill forms, read UI state, navigate menus, toggle checkboxes, scroll, drag, type text, press shortcuts, take screenshots…
Skill Claude CodeCodex needs its repo
Drive a desktop application from one plain-language goal, or resolve one intent at a time, without ever reading the accessibility tree. Use when automating a desktop app and you want to keep a 150-element JSON tree out of your context. Hand run.mjs a whole goal and it observes, decides and acts until the goal is met…
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