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teamai-cli

v0.25.0

Published

TeamAI — Make Every Team AI Native (skill sync + shared knowledge base, powered by Git)

Readme

为团队构建共享的 AI 基础,统一协作方式、沉淀团队上下文,并持续改进。

TeamAI 将个人的 AI 能力转化为团队共享能力,并在不同 Agent、设备和团队成员之间复用。

为什么选择 TeamAI

快速开始

把下面这一句发给你的 AI 工具:

帮我装好 teamai skill : https://github.com/Tencent/teamai-cli/tree/main/skills/teamai , 加载 teamai skill, 然后从零搭建团队的 TeamAI。

装好 TeamAI 后,在 AI 工具里直接跟 /teamai 对话就行:

从零搭建团队

/teamai 帮我从零搭建团队的 TeamAI

加入团队

/teamai 帮我加入团队的 TeamAI,仓库地址是 https://github.com/your-org/your-repo

把资源分享给团队

Skills、Rules、MCP 等 Agent 能用的资源都可以分享:

/teamai 帮我把 xxx skill 分享给团队

打开团队看板

/teamai 帮我打开 TeamAI 看板

安装

npm install -g teamai-cli

团队管理员 / 个人使用者

在 Git 托管平台(GitHub、GitLab、GitCode、CNB、TGit,或私有 Git 服务)创建共享经验仓库,授予团队成员写权限,然后运行 teamai init https://github.com/your-org/your-repo

还没有团队仓库? 可以从内置了成套 skills、rules、review agents 的模板起步。浏览 teamai-hub org,点 Fork 生成自己的仓库,再对它执行 teamai init

团队成员

# 二选一:按你想要的安装范围选择其中一条

# 项目级初始化(默认,资源安装到项目目录下)
cd /path/to/my-project
teamai init https://github.com/your-org/your-repo

# 或者,用户级初始化(资源安装到 ~/ 下)
teamai init https://github.com/your-org/your-repo --scope user

初始化完成后,每次开启 AI 会话时都会自动拉取管理员发布的 skills / rules 等 Harness 更新,无需手动同步。

了解更多

贡献者

感谢每一位为 TeamAI 贡献代码的伙伴!

contrib.rocks 生成。

贡献

欢迎加入社区交流,也可以提 Issue 或 PR。开发流程见 CONTRIBUTING.md

许可证

MIT