llm-computer-use

Desktop automation with AI vision lets an AI agent view your screen and perform clicks, keystrokes, and window management. This Skill enables that by combining screen capture, input simulation, and Claude's vision capabilities to automate repetitive tasks like opening applications, filling fields, and navigating file systems on Windows.

Yes. This Skill abstracts the complexity of screen observation and action sequencing. You define the task (e.g., open Notepad and type text), and the AI agent handles analyzing the screen and executing the necessary clicks and keystrokes, requiring only Python 3.10+ and an Anthropic API key.

You need Windows OS, Python 3.10 or higher, an Anthropic API key, and libraries for screen capture and input simulation. The Skill handles screen observation and command execution, so no additional desktop automation frameworks are required beyond what's built in.

This Skill supports dry-run mode, which lets you test and validate workflows without performing actual clicks, keystrokes, or window operations. This allows you to review the AI agent's planned actions before committing them to your desktop.

Both. The Skill supports CLI usage for one-off tasks and programmatic integration into Python scripts for batch automation. This flexibility lets you automate desktop interactions standalone or as part of larger automation workflows.

Vision-based automation depends on screen visibility and UI clarity. Performance scales with screen complexity, and actions that require sub-pixel precision or interactions outside the visible desktop may face constraints. The Skill works best for standard application workflows with clear UI elements.