clawteam

Orchestrate multi-agent swarms via the ClawTeam CLI with git worktree isolation.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/wjlmrzd/OpenClaw-Wren --skill clawteam-wjlmrzd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clawteam
Source: https://github.com/wjlmrzd/OpenClaw-Wren/tree/main/skills/clawteam
Command: npx skills add https://github.com/wjlmrzd/OpenClaw-Wren --skill clawteam-wjlmrzd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ClawTeam coordinates multiple AI agents as a swarm to enable teams to plan, spawn, monitor, and complete tasks efficiently via a CLI-based orchestration system.

Core Features & Use Cases

  • Orchestrates team formation, leader assignment, task creation, dependencies, and parallel or sequential execution.
  • Provides pre-built templates (hedge-fund, code-review, research-paper) and a kanban-style monitoring workflow with filesystem-based messaging and git worktree isolation.
  • Supports per-agent workspaces, tmux-based coordination, and robust team-wide coordination across multiple agents.

Quick Start

Launch a hedge-fund team and a code-review team from templates, then spawn agents to execute their tasks.

Frequently Asked Questions about clawteam

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multiple AI agents to run concurrent tasks in a CLI environment?

Multi-agent orchestration coordinates concurrent tasks and communications via a CLI swarm. ClawTeam applies git worktree isolation and tmux windows to spawn agents, manage task dependencies, and broadcast filesystem-based messages across parallel workspaces.

What is filesystem-based messaging in the context of coordinating AI agent swarms?

Filesystem-based messaging is a coordination mechanism where AI agents communicate through files within isolated git worktrees. This approach tracks progress on a kanban board and allows team leaders to manage task dependencies without external messaging APIs.

How do I launch a pre-built AI workflow template for code review or research paper tasks?

Pre-built workflow templates can be launched directly from the CLI. ClawTeam includes templates for hedge-fund, code-review, and research-paper workflows, allowing you to spawn agents and execute tasks immediately using predefined team formations and dependencies.

Do I need tmux and git worktree to manage parallel AI agent workflows?

Yes, tmux windows and git worktree isolation are required to manage parallel AI agent workflows. These tools provide per-agent workspaces and robust team-wide coordination, ensuring that concurrent tasks remain isolated and properly tracked across the swarm.

What's the best way to monitor task dependencies and progress across multiple concurrent AI agents?

The best way to monitor concurrent AI agents is through a kanban-style monitoring workflow. ClawTeam tracks progress, manages leader assignments, and broadcasts messages using filesystem-based coordination across isolated git worktrees and tmux windows.

Why use a CLI swarm for team formation and AI agent task assignment instead of a single agent?

A CLI swarm enables parallel or sequential execution of complex tasks that exceed a single agent's capacity. By applying team formation, leader assignment, and task dependencies, ClawTeam coordinates multiple agents concurrently to complete workflows faster.