Clawteam Agent Swarm

What This Skill Does

The ClawTeam Agent Swarm skill, developed by adisinghstudent, provides an advanced orchestration layer for managing multiple autonomous AI agents. By utilizing a leader-worker architecture, it allows users to perform complex, multi-stage tasks that would otherwise require manual intervention. Each worker agent is provisioned with its own isolated git worktree and a dedicated tmux window, ensuring that parallel development or research tasks do not conflict. The system simplifies the complexity of coordinating different AI models, such as Claude Code or Codex, into a single, cohesive workflow controlled by one master command.

Installation

To get started, ensure your environment meets the prerequisites: Python 3.10 or higher and the tmux terminal multiplexer. First, install the skill via the OpenClaw hub using clawhub install openclaw/skills/skills/adisinghstudent/clawteam-agent-swarm. Once installed, you must install the core CLI tool via pip: pip install clawteam. Verify the installation by running clawteam --version. If you are on macOS, run brew install tmux; on Debian or Ubuntu, use sudo apt install tmux.

Use Cases

ClawTeam is primarily designed for high-level software engineering and research automation. It is ideal for teams needing to build complex applications where one agent manages the project architecture while others handle specific modules, such as backend logic, database migrations, or frontend integration. Furthermore, it excels in automated research scenarios where one agent queries external data sources while secondary agents synthesize the information into structured reports or code artifacts.

Example Prompts

1. "Clawteam, create a new swarm named 'backend-dev' and spawn a leader agent tasked with architecting a robust microservices API in Python."
2. "Set up a ClawTeam agent swarm to research the latest trends in LLM optimization and have the workers draft a white paper on findings."
3. "Use ClawTeam to coordinate a team of workers for a refactoring sprint: assign the authentication module to worker1 and the database schema updates to worker2."

Tips & Limitations

When using ClawTeam, always utilize the clawteam board commands to monitor agent status, as debugging multiple concurrent processes can be challenging without visualization. Ensure your system has sufficient CPU and memory resources before spawning large swarms, as each worker agent consumes overhead through its isolated workspace. Note that this skill heavily relies on local environment permissions for git and process management, so it is best used within a containerized or local development setup to maintain security boundaries.