chore: save workspace changes before pull
This commit is contained in:
39
wiki/sources/accounts-payable-agent.md
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39
wiki/sources/accounts-payable-agent.md
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---
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title: "Accounts Payable Agent"
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type: source
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tags: [agent, finance, payments, automation]
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date: 2026-04-20
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last_updated: 2026-04-20
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source_file: raw/Agent/agency-agents/specialized/accounts-payable-agent.md
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---
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## Source File
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- [[raw/Agent/agency-agents/specialized/accounts-payable-agent.md]]
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## Summary
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- Accounts Payable Agent 是 The Agency 体系中的支付与应付账款专家,负责处理供应商发票、承包商付款与周期性账单,并可在 ACH、Wire、Crypto、Stablecoin 与 Payment API 等多种 payment rail 间自动路由。
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- 该智能体的核心原则是幂等性、严格验证、完整审计与不重复付款,任何超过授权阈值的付款都会被升级处理。
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- 它强调与其他智能体协作,在收到付款请求后完成验证、执行、记录并通知请求方。
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## Key Claims
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- 付款前必须检查同一发票是否已经支付,避免重复付款
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- 50 美元以上的付款必须先验证收款方地址或账户
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- 任何付款都需要记录发票编号、金额、rail、时间戳和状态
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- 若某条 payment rail 失败,应尝试下一条可用 rail,再决定是否升级
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- 超出授权限额的付款必须交由人工审批
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## Key Quotes
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> "Idempotency first" — 付款安全的首要规则
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> "Never pay twice" — 防止重复付款的核心约束
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> "Audit everything" — 每笔付款都必须留下完整审计轨迹
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## Connections
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- [[The Agency]] — 该智能体所属的项目框架
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- [[Idempotent Operation]] — 重复执行也不应产生重复付款
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- [[Audit Trail]] — 每笔付款必须可追踪、可审计
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- [[Payment Rail]] — 选择最优支付通道完成结算
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- [[Spend Limit]] — 超过授权阈值时必须升级审批
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- [[Labor Law Compliance]] — 付款协作场景中可能涉及合规约束
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## Contradictions
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- 无明显冲突
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48
wiki/sources/agentic-identity-trust.md
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48
wiki/sources/agentic-identity-trust.md
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---
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title: "Agentic Identity & Trust Architect"
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type: source
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tags: [agent, the-agency, identity, trust, security, zero-trust, audit]
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date: 2026-04-20
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last_updated: 2026-04-20
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---
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## Source File
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- [[raw/Agent/agency-agents/specialized/agentic-identity-trust.md]]
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## Summary
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- Agentic Identity & Trust Architect is The Agency's zero-trust specialist for autonomous agents, focused on cryptographic identity, delegated authorization, trust scoring, and tamper-evident evidence.
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- The role separates agent identity from authorization and insists that every consequential action be backed by verifiable proof, not self-reported claims.
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- It complements [[Identity Graph Operator]], which resolves entity identity, by providing the agent-side identity and trust layer.
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## Key Claims
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- Agents must prove who they are with cryptographic identity checks; self-reported identity is not enough.
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- Authorization must be scoped, revocable, and verifiable through delegation chains.
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- Trust should start at zero and only increase through verifiable outcomes, fresh credentials, and intact evidence chains.
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- Evidence records must be append-only and tamper-evident; if evidence cannot be written, the action should not proceed.
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- Algorithm agility and post-quantum migration readiness should be designed in from the start.
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## Key Quotes
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> "Never trust self-reported identity." — zero-trust rule for agent networks
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> "If evidence cannot be written, the action should not proceed." — fail-closed authorization rule
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## Key Concepts
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- [[Identity Governance]]
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- [[Audit Trail]]
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- [[Zero Trust Access]]
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- [[Identity Graph Operator]]
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- [[The Agency]]
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## Key Entities
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- [[Agentic Identity & Trust Architect]]
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- [[Identity Graph Operator]]
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- [[The Agency]]
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## Connections
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- [[The Agency]] ← contains ← [[Agentic Identity & Trust Architect]]
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- [[Agentic Identity & Trust Architect]] ← complements ← [[Identity Graph Operator]]
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- [[Identity Governance]] ← informed_by ← [[Agentic Identity & Trust Architect]]
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- [[Audit Trail]] ← constrains ← [[Agentic Identity & Trust Architect]]
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## Contradictions
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- None noted
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56
wiki/sources/government-digital-presales-consultant.md
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56
wiki/sources/government-digital-presales-consultant.md
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---
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title: "Government Digital Presales Consultant"
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type: source
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tags: [agent, the-agency, presales, government-it, compliance]
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date: 2026-04-20
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---
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## Source File
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- [[raw/Agent/agency-agents/specialized/government-digital-presales-consultant.md]]
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## Summary
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- 核心主题:面向中国政府数字化转型市场(ToG)的售前专家角色,覆盖政策解读、方案设计、招投标、POC 验证与合规适配
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- 问题域:政务项目机会识别难、招投标流程复杂、合规要求严格、技术方案需要同时满足业务与监管约束
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- 方法/机制:以政策信号驱动机会发现,以业务场景驱动方案设计,以 POC 和答标材料完成赢单闭环
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- 结论/价值:将政府项目售前从“拼概念”转为“拼合规、拼方案、拼交付可行性”,帮助团队更稳定地推进项目成交
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## Key Claims
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- 政务数字化项目要从国家/省市政策和预算信号中识别机会,而不是只等招标公告
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- Dengbao、Miping 与 Xinchuang 不是加分项,而是政府系统常见的硬约束
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- 售前方案必须围绕业务场景表达价值,避免只讲架构和技术名词
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- 评分高低往往取决于对招标文件条款、评分规则与资格条件的精准响应
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- POC 的作用是证明关键能力,不是无限期免费试做
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- 采购、技术、业务和领导层关注点不同,表达方式必须分层
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## Key Quotes
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> "Dengbao、Miping 和 Xinchuang are mandatory, not bonus points." — 合规底线
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> "The client cares about service outcomes, not microservices architecture." — 方案表达原则
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## Key Concepts
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- [[Technical Discovery]]
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- [[Solution Architecture (SA)]]
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- [[Proof of Concept (POC)]]
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- [[Digital Government]]
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- [[Smart City]]
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- [[Government Procurement]]
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- [[Dengbao]]
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- [[Miping]]
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- [[Xinchuang]]
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- [[Compliance Enforcement]]
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## Key Entities
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- [[The Agency]]
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## Connections
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- [[Government Digital Presales Consultant]] ← role within ← [[The Agency]]
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- [[Government Digital Presales Consultant]] ← applies ← [[Technical Discovery]]
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- [[Government Digital Presales Consultant]] ← shapes ← [[Solution Architecture (SA)]]
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- [[Government Digital Presales Consultant]] ← validates via ← [[Proof of Concept (POC)]]
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- [[Government Digital Presales Consultant]] ← constrained by ← [[Government Procurement]]
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- [[Government Digital Presales Consultant]] ← constrained by ← [[Dengbao]]
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- [[Government Digital Presales Consultant]] ← constrained by ← [[Miping]]
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- [[Government Digital Presales Consultant]] ← constrained by ← [[Xinchuang]]
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## Contradictions
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- 无明显冲突
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45
wiki/sources/identity-graph-operator.md
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wiki/sources/identity-graph-operator.md
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---
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title: "Identity Graph Operator"
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type: source
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tags: [agent, the-agency, identity, graph, entity-resolution]
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date: 2026-04-20
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last_updated: 2026-04-20
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---
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## Source File
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- [[raw/Agent/agency-agents/specialized/identity-graph-operator.md]]
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## Summary
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- 核心主题:Identity Graph Operator 负责多智能体系统中的共享身份图与实体归一化,确保不同 agent 面对同一现实世界实体时得到同一 canonical identity
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- 问题域:重复记录、冲突写入、跨 agent 身份不一致、合并/拆分决策难以追踪
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- 方法/机制:通过 blocking、scoring、clustering 和乐观锁在单一引擎内执行身份解析、合并提案与冲突检测
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- 结论/价值:为多智能体系统提供确定性、可审计、可回滚的身份层,降低重复创建与级联错误风险
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## Key Claims
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- 同一输入必须得到同一 entity_id,determinism 是身份解析的首要原则
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- 任何 merge/split/update 都应经过单一引擎处理,并保留事件历史与回滚能力
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- 解析结果应返回 confidence、canonical_data、version 等可审计字段
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- 多 agent 协作时优先提案而非直接突变,以便人工或其他 agent 审核
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- 共享身份层需要 tenant isolation,并默认对 PII 进行脱敏
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## Key Quotes
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> "Same input, same output. Two agents resolving the same record must get the same entity_id." — 设计原则
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## Key Concepts
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- [[AI代理(Agent)]]:Identity Graph Operator 是支撑多智能体协作可靠性的基础设施
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- [[Audit Trail]]:所有合并、拆分、匹配都应有理由和置信度记录
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- [[Identity Governance]]:共享身份层的治理框架,强调 canonical identity 与权限边界
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- [[Multi-Agent-System-Reliability]]:身份层是多智能体系统可靠性的前提之一
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## Key Entities
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- [[The Agency]]:开源 AI 智能体集合项目,Identity Graph Operator 所属项目语境
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- [[Identity Graph Operator]]:该源文档对应的专门智能体角色
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## Connections
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- [[The Agency]] ← contains ← [[Identity Graph Operator]]
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- [[Identity Graph Operator]] ← supports ← [[AI代理(Agent)]]
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- [[Identity Graph Operator]] ← constrains_by ← [[Audit Trail]]
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- [[Identity Graph Operator]] ← relies_on ← [[Identity Governance]]
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## Contradictions
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- 未发现明显冲突
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41
wiki/sources/project-management-experiment-tracker.md
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wiki/sources/project-management-experiment-tracker.md
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---
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title: "Experiment Tracker"
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type: source
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tags: [agent, project-management]
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date: 2026-04-20
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source_file: raw/Agent/agency-agents/project-management/project-management-experiment-tracker.md
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---
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## Source File
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- [[raw/Agent/agency-agents/project-management/project-management-experiment-tracker.md]]
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## Summary
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- 核心主题:Experiment Tracker 是一位专注于实验设计、执行跟踪和数据驱动决策的项目管理智能体
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- 问题域:A/B 测试、特性实验、假设验证与实验组合管理
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- 方法/机制:明确假设、统计显著性、样本量计算、随机分配、风险监控与回滚
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- 结论/价值:通过严谨的实验方法确保产品决策建立在可验证数据之上
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## Key Claims
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- 设计实验前应先完成样本量与统计功效分析,默认追求 95% 统计置信度
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- 实验必须保持随机分配、避免抽样偏差,并在多方案比较时进行多重比较修正
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- 不应在没有明确早停规则的情况下提前终止实验
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- 实验安全需要监控用户体验退化、隐私合规和回滚机制
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## Key Quotes
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> "Always calculate proper sample sizes before experiment launch" — statistics and rigor rule
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> "Never stop experiments early without proper early stopping rules" — experiment integrity rule
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## Connections
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- [[The Agency]] — 所属智能体集合项目
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- [[Senior Project Manager]] — 同属项目管理语境,但更偏向任务拆解与交付执行
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- [[Project Shepherd]] — 同属项目管理语境,但更偏向跨职能协调与交付治理
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- [[Studio Operations]] — 同属项目管理语境,但更偏向运营流程和资源协调
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- [[A/B Testing]] — 核心实验类型之一
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- [[Hypothesis Testing]] — 实验设计的统计基础
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- [[Statistical Significance]] — 决策判定依据
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- [[Power Analysis]] — 样本量与检验功效的计算方法
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- [[Randomization]] — 控制偏差的实验设计原则
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## Contradictions
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- 与直觉驱动决策存在冲突:该智能体强调先验证、后推广,反对未经验证的主观拍板。
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51
wiki/sources/recruitment-specialist.md
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51
wiki/sources/recruitment-specialist.md
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---
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title: "Recruitment Specialist"
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type: source
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tags: [agent, the-agency, recruitment, hr, compliance]
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date: 2026-04-20
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last_updated: 2026-04-20
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---
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## Source File
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- [[raw/Agent/agency-agents/specialized/recruitment-specialist.md]]
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## Summary
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- 核心主题:Recruitment Specialist 是 The Agency 体系中的招聘运营与人才获取专家,覆盖中国主流招聘平台、人才评估、面试设计、入职管理和劳动法合规
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- 问题域:招聘渠道效率、JD 质量、候选人体验、用工合规、offer/入职流程
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- 方法/机制:通过多渠道投放、结构化面试、数据驱动筛选、雇主品牌内容和 ATS 流程实现端到端招聘运营
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- 结论/价值:为企业提供可量化、可审计、合规的全流程招聘系统,兼顾效率、候选人体验与法律风险控制
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||||
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||||
## Key Claims
|
||||
- Boss Zhipin、Lagou、Liepin、Zhaopin、51job、Maimai 和 LinkedIn China 各有不同的岗位适配与 ROI 侧重点
|
||||
- JD 应区分硬性要求与软性偏好,并从候选人视角强调文化、成长和福利
|
||||
- 所有招聘决策都应以数据支持,避免凭直觉选人
|
||||
- 候选人个人信息、背景调查和不竞争义务筛查必须符合法律与授权要求
|
||||
- 初筛反馈应在 48 小时内完成,以维护候选人体验和雇主口碑
|
||||
|
||||
## Key Concepts
|
||||
- [[Recruitment Operations]]:多渠道招聘投放、预算分配和漏斗优化
|
||||
- [[Talent Assessment]]:通过结构化与行为面试评估胜任力的流程
|
||||
- [[Labor Law Compliance]]:招聘、签约、背景调查与用工全过程合规
|
||||
- [[Candidate Experience]]:候选人从投递到 offer 的体验设计
|
||||
- [[Employer Brand]]:通过内容与口碑构建雇主吸引力
|
||||
- [[ATS]]:用系统化流程管理招聘漏斗和候选人数据
|
||||
- [[Onboarding]]:从 offer 到入职与试用期管理的标准流程
|
||||
|
||||
## Key Entities
|
||||
- [[The Agency]]:Recruitment Specialist 所属项目框架
|
||||
- [[Boss Zhipin]]:主打直聊与曝光优化的招聘平台
|
||||
- [[Liepin]]:适合中高阶岗位的猎头平台
|
||||
- [[Maimai]]:适合雇主品牌与被动候选人触达的职业社交平台
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||||
|
||||
## Connections
|
||||
- [[The Agency]] ← contains ← [[Recruitment Specialist]]
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||||
- [[Recruitment Specialist]] ← supports ← [[Recruitment Operations]]
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||||
- [[Recruitment Specialist]] ← applies ← [[Talent Assessment]]
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||||
- [[Recruitment Specialist]] ← constrained_by ← [[Labor Law Compliance]]
|
||||
- [[Recruitment Specialist]] ← improves ← [[Candidate Experience]]
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||||
- [[Recruitment Specialist]] ← builds ← [[Employer Brand]]
|
||||
- [[Recruitment Specialist]] ← operationalized_by ← [[ATS]]
|
||||
- [[Recruitment Specialist]] ← extends_to ← [[Onboarding]]
|
||||
|
||||
## Contradictions
|
||||
- 无明显冲突
|
||||
39
wiki/sources/specialized-civil-engineer.md
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39
wiki/sources/specialized-civil-engineer.md
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||||
---
|
||||
title: "Civil Engineer"
|
||||
type: source
|
||||
tags: [agent, the-agency, engineering, civil]
|
||||
date: 2026-04-20
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/agency-agents/specialized/specialized-civil-engineer.md]]
|
||||
|
||||
## Summary
|
||||
- 这份智能体规范定义了 Civil Engineer,一位严谨的土木/结构工程专家,强调在多国标准下输出安全、经济、可施工的设计
|
||||
- 主题覆盖结构分析、岩土评估、施工图与技术说明、建筑规范合规,以及多标准项目中的冲突协调
|
||||
- 核心价值在于:每个设计都必须明确治理规范、版本、荷载组合与关键假设,并同时检查 ULS 与 SLS
|
||||
- 适用场景包括跨 Eurocode、ACI、AISC、AS/NZS、CSA、GB、IS、AIJ 等标准的国际项目
|
||||
|
||||
## Key Claims
|
||||
- Civil Engineer 必须同时处理结构安全、经济性和可施工性,而不是只追求理论强度
|
||||
- 每个计算包都应明确治理规范、版本、国家附录/地方修订与关键假设
|
||||
- 设计必须同时验证 ULS 和 SLS,不能只做强度校核
|
||||
- 岩土参数不能凭空假设,必须基于勘察报告或清晰的书面假设
|
||||
- 多标准项目需要为每个构件/子系统明确适用规范,并记录冲突解决策略
|
||||
|
||||
## Key Quotes
|
||||
> "Always state the governing code edition and national annex at the start of every calculation package." — 规范与版本要求
|
||||
|
||||
> "Never assume soil parameters without a ground investigation report or clear stated assumptions." — 岩土严谨性要求
|
||||
|
||||
> "The section passes strength (ULS) but deflection (SLS) governs." — 结构设计中强度与使用性并重
|
||||
|
||||
## Connections
|
||||
- [[Civil Engineer]] — 该 source 对应的实体页面
|
||||
- [[The Agency]] — The Agency 体系中的专业化工程智能体之一
|
||||
- [[Multi-Agent Team]] — 体现专职角色 + 共享上下文的多智能体协作模式
|
||||
- [[Technical Discovery]] — 项目前期必须先明确规范、荷载、边界条件与决策标准
|
||||
- [[Global Standards Coverage]] — 覆盖 Eurocode、ACI、AISC、AS/NZS、GB、IS、AIJ 等多规范体系
|
||||
|
||||
## Contradictions
|
||||
- 无明显冲突
|
||||
47
wiki/sources/specialized-document-generator.md
Normal file
47
wiki/sources/specialized-document-generator.md
Normal file
@@ -0,0 +1,47 @@
|
||||
---
|
||||
title: "Document Generator"
|
||||
type: source
|
||||
tags: [agent, the-agency, document-generation, office-suite]
|
||||
date: 2026-04-20
|
||||
---
|
||||
|
||||
## Source File
|
||||
- [[raw/Agent/agency-agents/specialized/specialized-document-generator.md]]
|
||||
|
||||
## Summary
|
||||
- 核心主题:Document Generator 专家智能体负责以代码方式生成 PDF、PPTX、XLSX 和 DOCX 等专业文档
|
||||
- 问题域:从零手工排版、格式不一致、难以复用模板、数据可视化质量不稳定
|
||||
- 方法/机制:使用 Python/Node.js 文档生成库,结合模板、样式和数据驱动流程输出成品文件
|
||||
- 结论/价值:将文档生产变成可重复、可自动化的工程流程,而不是一次性手工设计
|
||||
|
||||
## Key Claims
|
||||
- Document Generator 擅长使用代码化方式生成专业文档
|
||||
- PDF 可用 reportlab、weasyprint、fpdf2、puppeteer 等工具生成
|
||||
- PPTX 可用 python-pptx 或 pptxgenjs 生成
|
||||
- XLSX 可用 openpyxl、xlsxwriter、exceljs 生成
|
||||
- DOCX 可用 python-docx 或 docx 生成
|
||||
- 文档必须使用样式与主题,而不是硬编码字体和字号
|
||||
- 输出应兼顾品牌一致性、可访问性与模板复用
|
||||
- 生成前应确认受众与目的,并交付脚本与成品文件
|
||||
|
||||
## Key Quotes
|
||||
> "Generate professional documents using the right tool for each format." — 文档格式选择原则
|
||||
|
||||
> "Use proper styles — Never hardcode fonts/sizes; use document styles and themes." — 关键规则
|
||||
|
||||
## Key Concepts
|
||||
- [[Claude Skills]]:将重复性的文档生成流程封装为可复用 SOP
|
||||
- [[Prompt Engineering]]:需要清晰的输入、上下文和输出格式
|
||||
- [[Document Generation]]:代码化文档生产与模板化输出的工作流
|
||||
|
||||
## Key Entities
|
||||
- [[The Agency]]:所属项目
|
||||
- [[Document Generator]]:对应的 AI Agent 实体
|
||||
|
||||
## Connections
|
||||
- [[The Agency]] ← contains ← [[Document Generator]]
|
||||
- [[Claude Skills]] ← enables ← [[Document Generator]]
|
||||
- [[Prompt Engineering]] ← supports ← [[Document Generator]]
|
||||
|
||||
## Contradictions
|
||||
- 无明显冲突
|
||||
Reference in New Issue
Block a user