Universal multi-Agent scheduling system (Chinese version): Turn the main Agent into a pure scheduler, and all tasks are delegated to 5 persistent sub-Agents through sessions_spawn. Supports polling scheduling, reply first and then dispatch protocol, and sessionKey fixed reuse. Users can customize the dispatcher role and sub-agent names/personalities.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install multi-agent-cnOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install multi-agent-cnβ 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/multi-agent-cn/π‘Extract and place the folder at the path above, then restart your agent.
Category
AI Agent & AutomationWhat Multi-Agent CN can do for your AI workflow
Universal multi-agent directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,526+ 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 Multi-Agent CN
Help me get started with Multi-Agent CN
Explains what Multi-Agent CN does, walks through the setup, and runs a quick demo based on your current project
Use Multi-Agent CN to universal multi-Agent scheduling system (Chinese version): Turn the...
Invokes Multi-Agent CN with the right parameters and returns the result directly in the conversation
What can I do with Multi-Agent CN in my ai agent & automation workflow?
Lists the top use cases for Multi-Agent CN, with example commands for each scenario
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Multi-Agent CN extends your AI assistant with the ability to universal multi-Agent scheduling system (Chinese version): Turn the main Agent into a pure scheduler, and all tasks are delegated to 5 persistent sub-Agents through sessions_spawn. Supports polling scheduling, reply first and then dispatch protocol, and sessionKey fixed reuse. Users can customize the dispatcher role and sub-agent names/personalities. 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 Multi-Agent CN as its underlying capability.
Multi-Agent CN 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 Multi-Agent CN 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.
Multi-Agent CN installs like any other MCP skill: drop the folder into `~/.claude/skills/multi-agent-cn/` for global access, or `.claude/skills/multi-agent-cn/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/multi-agent-cn`, or let the AI decide when it's the right tool for your request.
Multi-Agent CN has been installed 4,526 times, making it one of the more actively used skills in the AI Agent & Automation category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/multi-agent-cn/ for personal use (all projects), or .claude/skills/multi-agent-cn/ for project-specific use. Restart your AI client, then invoke with /multi-agent-cn or let the AI discover it automatically.
Multi-Agent CN supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Multi-Agent CN is free to install. Check the repository for licensing information.
Universal multi-Agent scheduling system (Chinese version): Turn the main Agent into a pure scheduler, and all tasks are delegated to 5 persistent sub-Agents through sessions_spawn. Supports polling scheduling, reply first and then dispatch protocol, and sessionKey fixed reuse. Users can customize the dispatcher role and sub-agent names/personalities.
Links
Automate my ai agent & automation tasks using Multi-Agent CN
Identifies repetitive steps in your workflow and sets up Multi-Agent CN to handle them automatically
Multi-Agent CN is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
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