by ReJeCtAll · Codex Skill · ★ 53
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Codex Expert Teams 一套可直接安装到 的专家配置，面向 Codex CLI / Codex App 桌面版的 Skill 调用方式 提供 3 个专家团、2 个单专家与 1 个总路由入口。 当前版本：v1.2.0。完整更新内容见 CHANGELOG.md。 重要：Codex CLI 和 Codex App 桌面版当前主要通过 调用 Skill，例如 。因此本仓库的推荐调用方式是 、、、、、。 核心能力 软件开发团队：PRD、架构设计、批量编码、QA 验证、BugFix。 设计原型专家团：需求发现、设计系统选择、高保真原型、质量审查、导出交付。 产品战略团队：PRD、用户研究、竞品分析、指标分析、路线图、Sprint、干系人沟通。 基础设施运维专家：监控告警、云基础设施与 IaC、安全加固、成本优化、备份恢复、容量规划。 安全专家：威胁建模、漏洞评估、安全代码审查、安全架构、事件响应、安全运营、合规审计。 专家团总路由器：根据任务自动选择合适团队或专家，也支持手动指定。 适用场景：想把 Codex 从「单个助手」升级为「可路由、可协作、可复用的专家团系统」。 目录结构 text . ├── .codex/ │ ├── skills/ │ │ ├── expert-team/ # Codex CLI/App 入口：$expert-team │ │ ├── expert-software/ # Codex CLI/App 入口：$expert-software │ │ ├── expert-design/ # Codex CLI/App 入口：$expert-design │ │ ├── expert-product/ # Codex CLI/App 入口：$expert-product │ │ ├── expert-ops/ # Codex CLI/App 入口：$expert-ops │ │ ├── expert-security/ # Codex CLI/App 入口：$expert-security │ │ ├── design-systems/ # 设计系统知识库 │ │ ├── prototype-templates/ # 原型模板 │ │ ├── quality-review/ # 质量审查规则 │ │ └── product-playbook/ # 产品管理手册 │ ├── agents/ │ │ ├── software-team-lead.md │ │ ├── software-product-manager.md │ │ ├── software-architect.md │
| Stars | 53 |
| Forks | 3 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.8285758202571/100 |
| Last Updated | 2026-06-23 |
| Created | 2026-06-08 |
| Platforms | cli, codex |
| Est. Tokens | ~12k |
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ExpertTeam-Codex is 一套可直接安装到 ~/.codex 的专家配置，面向 Codex CLI / Codex App 桌面版的 Skill 调用方式 提供 3 个专家团、2 个单专家与 1 个总路由入口。. It is categorized as a Codex Skill with 53 GitHub stars.
ExpertTeam-Codex is primarily written in Shell.
You can find installation instructions and usage details in the ExpertTeam-Codex GitHub repository at github.com/ReJeCtAll/ExpertTeam-Codex. The project has 53 stars and 3 forks, indicating an active community.
ExpertTeam-Codex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ExpertTeam-Codex on Agent Skills Hub include theorist, schematic. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.