Team Collab: Multi-Model Multi-Agent Collaboration System for Openclaw

A sophisticated multi-agent orchestration system that organizes AI models into specialized professional teams including software development, business strategy, and creative writing.

davidme6
v3.1.0
Mar 25, 2026
0
810
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install team-collab

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install team-collab using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Team Collab: Multi-Model Multi-Agent Collaboration System?

Team Collab is a high-performance framework designed for Openclaw Skills that transforms standalone AI models into cohesive, professional business units. By utilizing a fixed sub-window architecture, it assigns specific roles to the most capable models—such as qwen3.5-plus for creativity and glm-5 for logic—ensuring each task is handled by an expert agent with persistent memory.

This skill enables users to operate like a full-scale company, providing structured workflows for complex projects. Whether you are building software, launching a commercial venture, or drafting a web novel, Team Collab coordinates up to 28 specialized AI roles to deliver professional-grade results through a unified collaboration protocol.

Team Collab: Multi-Model Multi-Agent Collaboration System Use Cases

  • Orchestrating a full software development lifecycle from requirements to code review.
  • Launching and managing commercial monetization projects with the specialized money-making squad.
  • Professional AI novel creation and manga scriptwriting using the specialized fiction team.
  • Managing complex multi-step technical tasks that require distinct expert perspectives.
  • Maintaining persistent, role-based AI interactions through dedicated sub-window sessions.

How Team Collab: Multi-Model Multi-Agent Collaboration System Works

  1. The user triggers a specific team using keywords like 软件开发团队 (Software Team), 搞钱特战队 (Business Team), or 小说团队 (Novel Team).
  2. The system spawns or activates persistent sub-windows for each predefined role within that team.
  3. Each sub-window is automatically assigned its optimal LLM (e.g., glm-5 for coding, qwen3.5-plus for creative content).
  4. Agents follow a structured cross-functional workflow, passing outputs from one expert (like a World Architect) to the next (like a Plot Engineer).
  5. Quality control agents and legal advisors review the final output to ensure technical accuracy and platform compliance.

Team Collab: Multi-Model Multi-Agent Collaboration System Setup

To integrate this skill into your environment, follow the standard Openclaw Skills installation process:

# Install the team-collab skill
openclaw install team-collab

# Configure model API keys for qwen3.5-plus and glm-5 in your .env
# Start the multi-agent environment
openclaw run team-collab

Team Collab: Multi-Model Multi-Agent Collaboration System Data Schema & Taxonomy

Team Collab uses a standardized naming convention for its sub-window architecture to maintain state and organizational clarity:

Team Prefix Role Key Persistent Label
dev- pm, coder, test, review dev-[role]
money- hunter, advisor, tech money-[role]
novel- expert, world, plot novel-[role]

All session data and generated artifacts are indexed by these labels, allowing for multi-agent memory persistence across different conversation segments.

Team Collab: Multi-Model Multi-Agent Collaboration System Advanced Features

  • Fixed Sub-Window Mode: Ensures each role has a dedicated, persistent workspace for long-term project memory.
  • Optimal Model Routing: Automatically assigns specific tasks to the LLM best suited for the job (Creative vs. Logical).
  • Integrated Quality Assurance: Dedicated 'Quality Control' agents in every team specifically for bug fixing and output validation.
  • Multi-Team Cross-Pollination: Ability to trigger multiple professional squads within the same Openclaw Skills environment.

SKILL.md


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