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-sourc
Scanned 9/11/2026
Install to Claude Code
npx -y skills add ranbot-ai/awesome-skills --skill computer-use-agents --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: computer-use-agents
description: 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-sourc
category: AI & Agents
source: antigravity
tags: [claude, ai, agent, automation, security]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/computer-use-agents
---
# Computer Use Agents
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.
## Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
## When to Use
- User mentions or implies: computer use
- User mentions or implies: desktop automation agent
- User mentions or implies: screen control AI
- User mentions or implies: vision-based agent
- User mentions or implies: GUI automation
- User mentions or implies: Claude computer
- User mentions or implies: OpenAI Operator
- User mentions or implies: browser agent
- User mentions or implies: visual agent
- User mentions or implies: RPA with AI
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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