team
Skill629 starsChanged 9 months agoMITView on GitHub
根据任务快速组建临时 AI Agent 团队协作。自动从 .claude/agents/ 中选择最合适的成员组队。
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组建临时团队
你需要根据下面的任务，从公司现有的 AI Agent 中挑选最合适的成员，组建一支临时团队来协作完成。
任务
$ARGUMENTS
可用 Agent
以下是公司所有 Agent，定义在 .claude/agents/ 目录下：
| Agent | 文件 | 职能 |
| CEO | ceo-bezos | 战略决策、商业模式、PR/FAQ、优先级 |
| CTO | cto-vogels | 技术架构、技术选型、系统设计 |
| 产品设计 | product-norman | 产品定义、用户体验、可用性 |
| UI 设计 | ui-duarte | 视觉设计、设计系统、配色排版 |
| 交互设计 | interaction-cooper | 用户流程、Persona、交互模式 |
| 全栈开发 | fullstack-dhh | 代码实现、技术方案、开发 |
| QA | qa-bach | 测试策略、质量把控、Bug 分析 |
| 营销 | marketing-godin | 定位、品牌、获客、内容 |
| 运营 | operations-pg | 用户运营、增长、社区、PMF |
| 销售 | sales-ross | 定价、销售漏斗、转化 |
执行步骤
1. 分析任务，选择成员
根据任务性质，选择 2-5 个最相关的 Agent 作为团队成员。选人原则：
- 只选必要的：不是人越多越好，精准匹配任务需求
- 考虑协作链：如果任务涉及从设计到开发，确保链路上的关键角色都在
- 避免冗余：职能重叠的不要同时选
向创始人简要说明你选了谁、为什么选他们，然后立即开始组建。
2. 组建 Agent Team
使用 Agent Teams 功能组建临时团队：
- 创建团队，team_name 基于任务简短命名（英文、kebab-case）
- 为每个成员创建具体的任务（TaskCreate），任务描述要包含足够上下文
- 用 Task 工具 spawn 每个 teammate，
subagent_type选general-purpose，在 prompt 中注入对应 agent 文件的完整内容作为角色设定 - spawn teammate 时通过 prompt 告知：你的角色设定、要完成的任务、产出文档存放在
docs/<role>/目录下
3. 协调与汇总
- 作为 team lead 协调各成员工作
- 收集各成员产出，汇总为统一的结论或方案
- 如有分歧，列出各方观点供创始人决策
- 完成后清理团队资源
注意事项
- 所有沟通使用中文，技术术语保留英文
- 每个成员产出的文档按约定存放在
docs/<role>/下 - 团队是临时的，任务完成后即解散
- 创始人是最终决策者，Agent 提供建议但不替代决策
Other versions42 projects use a version of this.
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- nicepkg/auto-company★ 18880% same
- DrifterXXX/auto-company★ 075% same
Wrote their own version · 40
- Yeachan-Heo/oh-my-claudecode★ 40ksame name
- Yeachan-Heo/oh-my-claude-sisyphus★ 40ksame name
- Yeachan-Heo/oh-my-codex★ 34ksame name
- MaxMiksa/Auto-Company★ 3.2ksame name
- MaxMiksa/Autonomous-Company★ 3.2ksame name
- zereight/gitlab-mcp★ 2.1ksame name
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- cluesmith/codev★ 289same name
- typv/nest-turbo-starter★ 224same name
- shenysun/skills-manager★ 196same name
30 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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