Dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL).
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install screen-monitorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install screen-monitorβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/screen-monitor/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Screen Monitor can do for your AI workflow
Dual-mode screen sharing directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,765+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Screen Monitor
Help me get started with Screen Monitor
Explains what Screen Monitor does, walks through the setup, and runs a quick demo based on your current project
Use Screen Monitor to dual-mode screen sharing and analysis
Invokes Screen Monitor with the right parameters and returns the result directly in the conversation
What can I do with Screen Monitor in my developer & devops workflow?
Lists the top use cases for Screen Monitor, with example commands for each scenario
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Screen Monitor extends your AI assistant with the ability to dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL). Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Screen Monitor as its underlying capability.
Screen Monitor works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Screen Monitor once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Screen Monitor installs like any other MCP skill: drop the folder into `~/.claude/skills/screen-monitor/` for global access, or `.claude/skills/screen-monitor/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/screen-monitor`, or let the AI decide when it's the right tool for your request.
Screen Monitor has been installed 4,765 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/screen-monitor/ for personal use (all projects), or .claude/skills/screen-monitor/ for project-specific use. Restart your AI client, then invoke with /screen-monitor or let the AI discover it automatically.
Screen Monitor supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Screen Monitor is free to install. Check the repository for licensing information.
Dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL).
Automate my developer & devops tasks using Screen Monitor
Identifies repetitive steps in your workflow and sets up Screen Monitor to handle them automatically
Screen Monitor is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Screenshot Capture
Process screenshots Enzo shares with comments. Save to reference library, extract content, categorize, set reminders, and log patterns. Use when Enzo sends an image with context like "save this", shares a screenshot of content (LinkedIn posts, tweets, articles), or sends ideas/frameworks to remember.