Claude Grade Multi-agent collaboration skills. Used to upgrade the original multi-Agent framework to an engineering system closer to Claude Code: hierarchical memory retrieval, Top-5 prefetching, Coordinator six-role collaboration, Verification Agent strong evidence acceptance, command pre-security pipeline, caching and cost management. Suitable for applications that require "multiple agents without idling and memory without blindness..."
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 multi-agent-collaborationOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install multi-agent-collaborationβ 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-collaboration/π‘Extract and place the folder at the path above, then restart your agent.
Category
AI Agent & AutomationWhat Multi Agent Collaboration can do for your AI workflow
Claude grade multi-agent directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,696+ 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 Collaboration
Help me get started with Multi Agent Collaboration
Explains what Multi Agent Collaboration does, walks through the setup, and runs a quick demo based on your current project
Use Multi Agent Collaboration to claude Grade Multi-agent collaboration skills
Invokes Multi Agent Collaboration with the right parameters and returns the result directly in the conversation
What can I do with Multi Agent Collaboration in my ai agent & automation workflow?
Lists the top use cases for Multi Agent Collaboration, with example commands for each scenario
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Multi Agent Collaboration extends your AI assistant with the ability to claude Grade Multi-agent collaboration skills. Used to upgrade the original multi-Agent framework to an engineering system closer to Claude Code: hierarchical memory retrieval, Top-5 prefetching, Coordinator six-role collaboration, Verification Agent strong evidence acceptance, command pre-security pipeline, caching and cost management. Suitable for applications that require "multiple agents without idling and memory without blindness...". 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 Collaboration as its underlying capability.
Multi Agent Collaboration 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 Collaboration 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 Multi Agent Collaboration takes about two minutes. Place the skill at `~/.claude/skills/multi-agent-collaboration/` (personal, all projects) or `.claude/skills/multi-agent-collaboration/` (project-specific), then restart your AI client. From that point, typing `/multi-agent-collaboration` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Multi Agent Collaboration has been installed 2,696 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. 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-collaboration/ for personal use (all projects), or .claude/skills/multi-agent-collaboration/ for project-specific use. Restart your AI client, then invoke with /multi-agent-collaboration or let the AI discover it automatically.
Multi Agent Collaboration supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Multi Agent Collaboration is free to install. Check the repository for licensing information.
Claude Grade Multi-agent collaboration skills. Used to upgrade the original multi-Agent framework to an engineering system closer to Claude Code: hierarchical memory retrieval, Top-5 prefetching, Coordinator six-role collaboration, Verification Agent strong evidence acceptance, command pre-security pipeline, caching and cost management. Suitable for applications that require "multiple agents without idling and memory without blindness..."
Automate my ai agent & automation tasks using Multi Agent Collaboration
Identifies repetitive steps in your workflow and sets up Multi Agent Collaboration to handle them automatically
Multi Agent Collaboration is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
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