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.