Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
6.9
Rating
0
Installs
AI & LLM
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This skill provides solid technical knowledge for building computer use agents with practical code examples covering the perception-reasoning-action loop, sandboxing, and Anthropic's API. The description clearly conveys when to use it. However, the structure suffers from incomplete code snippets (truncated mid-function), and the Sharp Edges table lacks actual issue descriptions (all say 'Issue' instead of specific problems). The novelty is moderate - while computer use agents are relatively new, the core patterns (vision-LLM loops, Docker sandboxing) are increasingly familiar. A CLI agent could invoke this for guidance on building such systems, though it would need to work around the truncated code. The security-first approach and multi-provider coverage (Anthropic, OpenAI mentions) add value.
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