Update nexus: fix conflicts and sync local changes
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Shen Wei
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# The Agency
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## Definition
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The Agency 是一个由 AI 编码代理（agent）驱动的多智能体开发系统，提供 **147 个专业化 Agent** 跨 **12 个业务部门**运作，涵盖 Engineering、Design、Finance、Game Dev、Marketing、Paid Media、Product、Project Management、Testing、Support、Spatial Computing、Specialized 等领域。
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## Organizational Structure
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```
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The Agency
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├── Engineering（工程部门）
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├── Design（设计部门）
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│ ├── UI Designer
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│ ├── Brand Guardian
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│ ├── Visual Storyteller
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│ ├── UX Researcher
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│ ├── Image Prompt Engineer
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│ ├── Inclusive Visuals Specialist
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│ └── Whimsy Injector
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├── Finance（财务部门）
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├── Game Dev（游戏开发部门）
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├── Marketing（市场营销部门）
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├── Paid Media（付费媒体部门）
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├── Product（产品部门）
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├── Project Management（项目管理部门）
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├── Testing（测试部门）
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├── Support（支持部门）
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├── Spatial Computing（空间计算部门）
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│ ├── XR Interface Architect
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│ ├── XR Immersive Developer
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│ ├── XR Cockpit Interaction Specialist
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│ ├── visionOS Spatial Engineer
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│ └── macOS Spatial/Metal Engineer
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└── Specialized（专业部门）
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├── Study Abroad Advisor
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├── Agents Orchestrator
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├── Identity Graph Operator
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├── MCP Builder Agent
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├── Agentic Identity & Trust Architect
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├── Civil Engineer
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├── Document Generator
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├── Government Digital Presales Consultant
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├── Healthcare Marketing Compliance Specialist
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├── Compliance Auditor
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├── Workflow Architect
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├── Corporate Training Designer
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├── Cultural Intelligence Strategist
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├── Model QA Specialist
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└── LSP/Index Engineer
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```
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## Core Design Principles
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1. **鲜明性格**（拒绝通用人设）——每个 Agent 拥有明确的专业边界和独特性格
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2. **明确交付物**（真实代码/模板）——每个 Agent 的输出可量化、可验证
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3. **可量化指标**——每个 Agent 定义明确的成功指标
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4. **经过验证的工作流**——Agent 行为遵循经过测试的工作流程
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5. **学习记忆机制**——Agent 具备上下文记忆和自我改进能力
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## Contribution Model
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The Agency 接受外部贡献，核心方式：
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- 创建全新智能体（8 大分类）
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- 优化现有智能体
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- 分享成功案例
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- 反馈问题
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详见 [[contributing_zh-cn]] 和 [[contributing]]（英文原版）。
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## Relationship to Multi-Agent Reliability
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The Agency 是 [[multi-agent-system-reliability]] 理论的最佳实践场域——通过 Agent 间协作模式（Orchestration、Consensus Voting、Adversarial Debate、Knock-out）实现系统级可靠性。[[identity-graph-operator]] 解决 Agent 间身份一致性问题，[[agentic-identity-trust]] 解决 Agent 间信任与授权问题，共同构成完整的多智能体基础设施。
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## Aliases
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- The Agency Multi-Agent System
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- Agency Agents
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# The Agency
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## Definition
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The Agency 是一个由 AI 编码代理（agent）驱动的多智能体开发系统，提供 **147 个专业化 Agent** 跨 **12 个业务部门**运作，涵盖 Engineering、Design、Finance、Game Dev、Marketing、Paid Media、Product、Project Management、Testing、Support、Spatial Computing、Specialized 等领域。
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## Organizational Structure
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```
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The Agency
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├── Engineering（工程部门）
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├── Design（设计部门）
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│ ├── UI Designer
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│ ├── Brand Guardian
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│ ├── Visual Storyteller
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│ ├── UX Researcher
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│ ├── Image Prompt Engineer
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│ ├── Inclusive Visuals Specialist
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│ └── Whimsy Injector
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├── Finance（财务部门）
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├── Game Dev（游戏开发部门）
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├── Marketing（市场营销部门）
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├── Paid Media（付费媒体部门）
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├── Product（产品部门）
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├── Project Management（项目管理部门）
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├── Testing（测试部门）
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├── Support（支持部门）
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├── Spatial Computing（空间计算部门）
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│ ├── XR Interface Architect
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│ ├── XR Immersive Developer
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│ ├── XR Cockpit Interaction Specialist
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│ ├── visionOS Spatial Engineer
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│ └── macOS Spatial/Metal Engineer
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└── Specialized（专业部门）
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├── Study Abroad Advisor
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├── Agents Orchestrator
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├── Identity Graph Operator
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├── MCP Builder Agent
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├── Agentic Identity & Trust Architect
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├── Civil Engineer
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├── Document Generator
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├── Government Digital Presales Consultant
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├── Healthcare Marketing Compliance Specialist
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├── Compliance Auditor
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├── Workflow Architect
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├── Corporate Training Designer
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├── Cultural Intelligence Strategist
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├── Model QA Specialist
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└── LSP/Index Engineer
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```
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## Core Design Principles
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1. **鲜明性格**（拒绝通用人设）——每个 Agent 拥有明确的专业边界和独特性格
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2. **明确交付物**（真实代码/模板）——每个 Agent 的输出可量化、可验证
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3. **可量化指标**——每个 Agent 定义明确的成功指标
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4. **经过验证的工作流**——Agent 行为遵循经过测试的工作流程
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5. **学习记忆机制**——Agent 具备上下文记忆和自我改进能力
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## Contribution Model
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The Agency 接受外部贡献，核心方式：
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- 创建全新智能体（8 大分类）
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- 优化现有智能体
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- 分享成功案例
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- 反馈问题
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详见 [[contributing_zh-cn]] 和 [[contributing]]（英文原版）。
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## Relationship to Multi-Agent Reliability
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The Agency 是 [[multi-agent-system-reliability]] 理论的最佳实践场域——通过 Agent 间协作模式（Orchestration、Consensus Voting、Adversarial Debate、Knock-out）实现系统级可靠性。[[identity-graph-operator]] 解决 Agent 间身份一致性问题，[[agentic-identity-trust]] 解决 Agent 间信任与授权问题，共同构成完整的多智能体基础设施。
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## Aliases
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- The Agency Multi-Agent System
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- Agency Agents
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