Claude Code Team for Openclaw

An advanced multi-agent orchestration skill that automatically assembles specialized AI teams to handle complex development projects and technical tasks.

davidme6
v2.0.0
Apr 3, 2026
0
559
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install claude-code-team

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 claude-code-team 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 Claude Code Team?

Claude Code Team is a sophisticated coordination layer designed for developers who need more than a single agent response. By leveraging the Openclaw Skills framework, this tool automatically identifies project requirements and spawns a virtual team of specialized agents—including Product Managers, Architects, and Developers—each powered by the most cost-effective and capable models available like Qwen-Max and GLM-5.

The skill intelligently differentiates between casual queries and project-level tasks. When it detects complex triggers like bug fixes or system optimizations, it initiates a full-scale multi-agent workflow, ensuring that every aspect of the technical lifecycle is handled by a role-specific AI optimized for that exact function.

Claude Code Team Use Cases

  • Automating full-stack software development cycles from requirement analysis to deployment.
  • Managing complex bug squashing sessions that require code review and testing validation.
  • Assembling specialized AI research squads or technical platform teams for architectural decision-making.
  • Scaling productivity for solo developers by providing a 10-person virtual special ops team for rapid prototyping.

How Claude Code Team Works

  1. The system monitors user input for specific triggers such as software development team or project optimization.
  2. Upon activation, the skill identifies the required team configuration (Standard Dev, Technical Platform, or Custom).
  3. It automatically maps the most suitable LLM to each role (e.g., qwen-max for architects, glm-5 for programmers) to balance performance and cost.
  4. The skill spawns multiple concurrent sessions to execute role-specific responsibilities in parallel.
  5. All outputs are synthesized into a comprehensive final report and delivered to the user.
  6. Task history and lessons learned are persisted into a structured memory system for future context.

Claude Code Team Setup

To integrate this skill into your Openclaw Skills environment, ensure your model providers (Bailian, OpenAI, etc.) are configured.

# Initialize the team mode
openclaw-cli install claude-code-team

# Configure your model API keys
export BAILIAN_API_KEY='your_key_here'

Simply trigger the skill by mentioning a team name or asking to optimize a project.

Claude Code Team Data Schema & Taxonomy

The skill maintains a hierarchical memory structure to ensure continuity across sessions:

Data Type Storage Path Description
Team Memory memory/teams/{team_name}/MEMORY.md Stores task history, decision logs, and project-wide lessons.
Agent Memory memory/agents/{role_name}/MEMORY.md Records individual agent growth, skill improvements, and task records.
Config Files config/teams/ Stores JSON definitions for standard and custom team compositions.

Claude Code Team Advanced Features

  • Dynamic Model Routing: Automatically switches between qwen-max for complex reasoning and glm-5 for cost-efficient coding.
  • Custom Team Construction: Ability to define bespoke teams like AI Research Squads with specific role responsibilities.
  • Automated Persistence: Integrated memory system that tracks technical debt and architectural decisions across the project lifecycle.
  • Performance Optimization: Built-in gateway timeout handling (120s) and concurrency management for large-scale agent deployments.
  • Multi-Agent Synthesis: Sophisticated aggregation logic that combines outputs from up to 10 agents into a single actionable report.

SKILL.md


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