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. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
npx skills add majiayu000/claude-skill-registry --skill antigravity-computer-use-agents --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computer Use Agents ## Patterns ### Perception-Reasoning-Action Loop The fundamental architecture of computer use agents: observe screen, reason about next action, execute action, repeat. This loop integrates vision models with action execution through an iterative pipeline. Key components: 1. PERCEPTION: Screenshot captures current screen state 2. REASONING: Vision-language model analyzes and plans 3. ACTION: Execute mouse/keyboard operations 4. FEEDBACK: Observe result, continue or correct Critical insight: Vision agents are completely still during "thinking" phase (1-5 seconds), creating a detectable pause pattern. **When to use**: ['Building any computer use agent from scratch', 'Integrating vision models with desktop control', 'Understanding agent behavior patterns'] ```python from anthropic import Anthropic from PIL import Image import base64 import pyautogui import time class ComputerUseAgent: """ Perception-Reasoning-Action loop implementation. Based on Anthropic Computer Use patterns. """ def __init__(self, client: Anthropic, model: str = "claude-sonnet-4-20250514"): self.client = client self.model = model self.max_steps = 50 # Prevent runaway loops self.action_delay = 0
- Patterns
- Perception-Reasoning-Action Loop
- Sandboxed Environment Pattern
- Anthropic Computer Use Implementation
- ⚠️ Sharp Edges
What does the computer-use-agents skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill antigravity-computer-use-agents --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.