Capture frames or clips from RTSP/ONVIF cameras.
Data sourced from ClawHub. View on ClawSkills
What Camsnap 1.0.0 can do for your AI workflow
Capture frames or clips directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Camsnap 1.0.0
Help me get started with Camsnap 1.0.0
Explains what Camsnap 1.0.0 does, walks through the setup, and runs a quick demo based on your current project
Use Camsnap 1.0.0 to capture frames or clips from RTSP/ONVIF cameras
Invokes Camsnap 1.0.0 with the right parameters and returns the result directly in the conversation
What can I do with Camsnap 1.0.0 in my design & creative workflow?
Lists the top use cases for Camsnap 1.0.0, with example commands for each scenario
Guides & tutorials for AI skills
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Camsnap 1.0.0 extends your AI assistant with the ability to capture frames or clips from RTSP/ONVIF cameras. 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 Camsnap 1.0.0 as its underlying capability.
Camsnap 1.0.0 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 Camsnap 1.0.0 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.
Getting started with Camsnap 1.0.0 takes about two minutes. Place the skill at `~/.claude/skills/camsnap-1-0-0/` (personal, all projects) or `.claude/skills/camsnap-1-0-0/` (project-specific), then restart your AI client. From that point, typing `/camsnap-1-0-0` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Camsnap 1.0.0 has 233 installs and is part of the growing Design & Creative skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/camsnap-1-0-0/ for personal use (all projects), or .claude/skills/camsnap-1-0-0/ for project-specific use. Restart your AI client, then invoke with /camsnap-1-0-0 or let the AI discover it automatically.
Camsnap 1.0.0 supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Camsnap 1.0.0 is free to install. Check the repository for licensing information.
Capture frames or clips from RTSP/ONVIF cameras.
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install camsnap-1-0-0Or via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install camsnap-1-0-0β 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/camsnap-1-0-0/π‘Extract and place the folder at the path above, then restart your agent.
Automate my design & creative tasks using Camsnap 1.0.0
Identifies repetitive steps in your workflow and sets up Camsnap 1.0.0 to handle them automatically
Camsnap 1.0.0 is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.