Skip to content

Agent Team

Verified

Agent Team — AI and machine learning tool.

220 downloads
$ Add to .claude/skills/

About This Skill

Content available in Chinese

# agent-team - 多 Agent 团队管理系统

管理和调用具有不同"灵魂"的子 Agent 团队,每个 Agent 拥有独特的身份定义和专用模型。

使用方法

基础命令 ```bash agent-team list # 列出所有 Agent agent-team show <name> # 查看 Agent 详情 agent-team spawn <name> [task] # 启动 Agent 执行任务 agent-team chat <name> # 与 Agent 交互对话 ```

示例 ```bash # 查看团队所有成员 agent-team list

# 查看 Coder 的详细信息 agent-team show coder

# 让 Coder 帮你写代码 agent-team spawn coder "写一个快速排序算法"

# 与 Writer 对话讨论写作 agent-team chat writer ```

内置 Agent 团队

| Agent | 角色 | 主模型 | 专长 | |:---:|:---|:---|:---| | 🧑‍💻 coder | 代码专家 | qwen3-coder-next | 编程、重构、测试 | | ✍️ writer | 写作专家 | qwen3.5-plus | 文档、博客、创意写作 | | 📊 analyst | 数据专家 | qwen3.5-plus | 数据分析、可视化 | | 🔍 researcher | 调研专家 | gemini-3.1-pro | 文献调研、竞品分析 | | 👀 reviewer | 审查专家 | qwen3-max | 代码审查、质量把关 |

创建新 Agent

1. 创建目录 ```bash mkdir -p ~/.openclaw/workspace/agents/<agent-name> ```

2. 定义 SOUL.md ```markdown # SOUL.md - <Agent Name>

身份 你是...

性格特质 - ...

专业领域 - ...

沟通风格 - ... ```

3. 创建 config.json ```json { "name": "AgentName", "role": "角色描述", "emoji": "🤖", "model": { "primary": "dashscope/qwen3.5-plus", "fallback": "google/gemini-3-flash-preview" }, "capabilities": ["能力 1", "能力 2"] } ```

模型配置说明

每个 Agent 可以配置不同的模型:

  • dashscope/qwen3-coder-next: 编码专用
  • dashscope/qwen3.5-plus: 通用中文优化
  • dashscope/qwen3-max: 最强推理
  • google/gemini-3.1-pro: 深度研究
  • google/gemini-3-flash-preview: 快速响应

工作模式

1. 任务模式 (spawn) ```bash agent-team spawn coder "优化这个函数" ``` - 创建独立子代理会话 - 执行指定任务 - 完成后返回结果

2. 对话模式 (chat) ```bash agent-team chat analyst ``` - 进入交互式对话 - 保持角色一致性 - 适合复杂协作

高级用法

并行多 Agent ```bash # 同时启动多个 Agent agent-team spawn coder "写代码" & agent-team spawn writer "写文档" & agent-team spawn reviewer "审查代码" & wait ```

链式调用 ```bash # Coder 写代码 → Reviewer 审查 → Writer 写文档 agent-team spawn coder "实现功能" agent-team spawn reviewer "审查代码" agent-team spawn writer "编写文档" ```

文件结构

``` ~/.openclaw/workspace/ ├── agents/ │ ├── coder/ │ │ ├── SOUL.md # 身份定义 │ │ └── config.json # 模型配置 │ ├── writer/ │ └── ... └── skills/ └── agent-team/ ├── agent-team.py # 管理脚本 └── SKILL.md # 本文档 ```

故障排除

  1. Agent 未找到: 检查 `~/.openclaw/workspace/agents/` 目录
  2. 模型不可用: 确认模型配置正确且 API Key 有效
  3. 会话无法创建: 检查 OpenClaw 网关状态

相关技能

  • `sessions_spawn`: OpenClaw 原生子代理创建
  • `self-improving`: 自我进化记忆系统

Use Cases

  • Manage a team of sub-agents with different identities and specialized models
  • Spawn named agents with unique soul definitions for role-specific tasks
  • Switch between agent team members for interactive conversations
  • List and inspect all available agents with their capabilities and status
  • Assign tasks to specific agents based on their expertise and model strengths

Pros & Cons

Pros

  • +Each agent gets a unique identity ('soul') — enables genuine specialization
  • +Supports different AI models per agent for optimal task-model matching
  • +Simple CLI interface: list, show, spawn, chat commands

Cons

  • -Documentation in Chinese — limits international accessibility
  • -Running multiple agents simultaneously increases resource and API costs
  • -No built-in task routing — manual agent selection required

FAQ

What does Agent Team do?
Agent Team — AI and machine learning tool.
What platforms support Agent Team?
Agent Team is available on Claude Code, OpenClaw.
What are the use cases for Agent Team?
Manage a team of sub-agents with different identities and specialized models. Spawn named agents with unique soul definitions for role-specific tasks. Switch between agent team members for interactive conversations.

100+ free AI tools

Writing, PDF, image, and developer tools — all in your browser.

Next Step

Use the skill detail page to evaluate fit and install steps. For a direct browser workflow, move into a focused tool route instead of staying in broader support surfaces.