arlo — community claude-skill-registry, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Home Security Agents needing seamless integration with Arlo security systems for advanced camera feed management and motion detection control. The most comprehensive Claude Code skills registry | Web Search: https://skills-registry-web.vercel.app

majiayu000 majiayu000
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Updated: 2/20/2026

Agent Capability Analysis

The arlo skill by majiayu000 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Home Security Agents needing seamless integration with Arlo security systems for advanced camera feed management and motion detection control.

Core Value

Empowers agents to interact with Arlo for viewing live camera feeds, managing recordings, and configuring motion detection settings via HTTPS protocol, leveraging bash scripts for installation and configuration.

↓ Capabilities Granted for arlo

Viewing live Arlo camera feeds
Managing and configuring Arlo security system recordings
Automating motion detection settings updates

! Prerequisites & Limits

  • Requires bash for installation and configuration scripts
  • Arlo security system compatibility required
  • Dependent on canifi-env for setup and configuration
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

arlo

Install arlo, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Arlo Skill

Overview

Enables Claude to interact with Arlo for viewing camera feeds, managing recordings, configuring motion detection, and controlling Arlo security system.

Quick Install

bash
1curl -sSL https://canifi.com/skills/arlo/install.sh | bash

Or manually:

bash
1cp -r skills/arlo ~/.canifi/skills/

Setup

Configure via canifi-env:

bash
1# First, ensure canifi-env is installed:
2# curl -sSL https://canifi.com/install.sh | bash
3
4canifi-env set ARLO_EMAIL "your-email@example.com"

Privacy & Authentication

Your credentials, your choice. Canifi LifeOS respects your privacy.

If you prefer not to share credentials with Claude Code:

  1. Complete the Browser Automation Setup using CDP mode
  2. Login to the service manually in the Playwright-controlled Chrome window
  3. Claude will use your authenticated session without ever seeing your password

Option 2: Environment Variables

If you're comfortable sharing credentials, you can store them locally:

bash
1canifi-env set SERVICE_EMAIL "your-email"
2canifi-env set SERVICE_PASSWORD "your-password"

Note: Credentials stored in canifi-env are only accessible locally on your machine and are never transmitted.

Capabilities

  • View live and recorded camera feeds
  • Manage motion detection zones
  • Configure armed/disarmed modes
  • Download and share video clips
  • Check battery and device status

Usage Examples

Example 1: View Camera

User: "Show me the backyard Arlo camera"
Claude: I'll pull up the live feed from your backyard Arlo camera.

Example 2: Mode Control

User: "Arm all Arlo cameras"
Claude: I'll set your Arlo system to Armed mode.

Example 3: Event History

User: "What motion was detected last night?"
Claude: I'll check your Arlo library for last night's motion events.

Authentication Flow

  1. Navigate to my.arlo.com via Playwright MCP
  2. Click "Log In" button
  3. Enter Arlo credentials
  4. Handle 2FA via email or text
  5. Maintain session for subsequent requests

Error Handling

  • Login Failed: Retry authentication up to 3 times, then notify via iMessage
  • Session Expired: Re-authenticate automatically
  • 2FA Required: Wait for code via email/SMS
  • Rate Limited: Implement exponential backoff
  • Camera Offline: Report device connectivity

Self-Improvement Instructions

When encountering new UI patterns:

  1. Document Arlo web portal changes
  2. Update selectors for new layouts
  3. Track new camera features
  4. Monitor subscription changes

Notes

  • Arlo Secure subscription for cloud storage
  • Battery-powered wireless cameras
  • Works with Alexa, Google, and HomeKit
  • Geofencing for automatic arming

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is arlo?

Perfect for Home Security Agents needing seamless integration with Arlo security systems for advanced camera feed management and motion detection control. The most comprehensive Claude Code skills registry | Web Search: https://skills-registry-web.vercel.app

How do I install arlo?

Run the command: npx killer-skills add majiayu000/claude-skill-registry/arlo. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for arlo?

Key use cases include: Viewing live Arlo camera feeds, Managing and configuring Arlo security system recordings, Automating motion detection settings updates.

Which IDEs are compatible with arlo?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for arlo?

Requires bash for installation and configuration scripts. Arlo security system compatibility required. Dependent on canifi-env for setup and configuration.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add majiayu000/claude-skill-registry/arlo. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use arlo immediately in the current project.

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