Dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow.
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 teamworkOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install teamworkβ 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/teamwork/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What TeamWork can do for your AI workflow
Dynamically creates directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,168+ 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 TeamWork
Help me get started with TeamWork
Explains what TeamWork does, walks through the setup, and runs a quick demo based on your current project
Use TeamWork to dynamically creates and manages AI agent teams for complex tasks
Invokes TeamWork with the right parameters and returns the result directly in the conversation
What can I do with TeamWork in my product manager workflow?
Lists the top use cases for TeamWork, with example commands for each scenario
Guides & tutorials for AI skills
TeamWork extends your AI assistant with the ability to dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow. 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 TeamWork as its underlying capability.
TeamWork 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 TeamWork 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.
TeamWork installs like any other MCP skill: drop the folder into `~/.claude/skills/teamwork/` for global access, or `.claude/skills/teamwork/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/teamwork`, or let the AI decide when it's the right tool for your request.
TeamWork has been installed 1,168 times, making it one of the more actively used skills in the Product Manager 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/teamwork/ for personal use (all projects), or .claude/skills/teamwork/ for project-specific use. Restart your AI client, then invoke with /teamwork or let the AI discover it automatically.
TeamWork supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
TeamWork is free to install. Check the repository for licensing information.
Dynamically creates and manages AI agent teams for complex tasks. Invoke when user requests multi-agent collaboration, complex project execution, or when tasks require specialized roles and coordinated workflow.
Links
Automate my product manager tasks using TeamWork
Identifies repetitive steps in your workflow and sets up TeamWork to handle them automatically
MCP vs traditional plugins: what's the difference?
TeamWork is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.