{
  "version": "1.1",
  "total": 36,
  "modules": {
    "M1": {
      "name": "竞争重写",
      "name_en": "Competition",
      "color": "#8B5CFF"
    },
    "M2": {
      "name": "组织重写",
      "name_en": "Organization",
      "color": "#FF7A45"
    },
    "M3": {
      "name": "产品重写",
      "name_en": "Product",
      "color": "#36C9C6"
    },
    "M4": {
      "name": "系统重写",
      "name_en": "System",
      "color": "#52C41A"
    },
    "M5": {
      "name": "价值重写",
      "name_en": "Value",
      "color": "#FFC53D"
    },
    "M6": {
      "name": "人类重写",
      "name_en": "Human",
      "color": "#F759AB"
    }
  },
  "skills": [
    {
      "id": "F01",
      "title_zh": "智能体五力重构法",
      "title_en": "Agentic Five Forces Reconstruction",
      "abbr": "AFFR",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "分析型",
      "skill_yaml_name": "agentic-competitive-analysis",
      "description": "智能体竞争结构分析——对波特五力框架的智能体时代重写。当用户需要分析一个行业在AI/智能体时代的竞争格局变化、评估进入壁垒、判断护城河有效性、或制定3-5年竞争战略时使用。触发词：竞争格局分析、行业分析、五力分析、进入壁垒、市场结构、竞争对手分析、行业变局、AI如何改变竞争、供应商议价力、替代品威胁、行业战略。",
      "triggers": [
        "竞争格局分析",
        "行业分析",
        "五力分析"
      ],
      "framework_url": "../framework/F01.html",
      "skill_url": "F01.md"
    },
    {
      "id": "F02",
      "title_zh": "智能体护城河重估法",
      "title_en": "Seven-Dimensional Moat Assessment",
      "abbr": "SDMA",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "分析型（含评分）",
      "skill_yaml_name": "agentic-moat-assessment",
      "description": "系统性护城河评估——智能体时代的七维护城河量化分析工具。当用户需要评估企业竞争优势的真实深度、判断护城河是否在加厚或侵蚀、与竞争对手做护城河结构对比、或制定护城河强化路径时使用。触发词：护城河分析、竞争优势评估、壁垒分析、护城河有多深、我们的优势在哪里、数据飞轮、工作流嵌入、合规壁垒、竞争壁垒、差异化优势、AI时代的竞争优势、我们为什么能赢、投资尽调竞争评估",
      "triggers": [
        "护城河分析",
        "竞争优势评估",
        "壁垒分析"
      ],
      "framework_url": "../framework/F02.html",
      "skill_url": "F02.md"
    },
    {
      "id": "F03",
      "title_zh": "智能体组合矩阵",
      "title_en": "Agentic Portfolio Matrix",
      "abbr": "APM",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "决策型",
      "skill_yaml_name": "agent-portfolio-matrix",
      "description": "智能体组合管理——以「自主化成熟度 × 战略价值」双轴矩阵，对企业内所有Agent项目进行战略分类和资源配置决策。当用户需要判断哪些Agent项目应该扩张/投入/控制/退出、向管理层汇报AI投资优先级、管理多个Agent项目的资源协调，或在AI能力突破后快速重估组合时使用。触发词：Agent投资优先级、哪些AI项目值得做、AI项目太多不知道怎么选、Agent",
      "triggers": [
        "Agent投资优先级",
        "哪些AI项目值得做",
        "AI项目太多不知道怎么选"
      ],
      "framework_url": "../framework/F03.html",
      "skill_url": "F03.md"
    },
    {
      "id": "F04",
      "title_zh": "智能体能力三元获取法",
      "title_en": "Triadic Intelligence Capability Acquisition",
      "abbr": "TICA",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "决策型",
      "skill_yaml_name": "F04_3B_capability_acquisition",
      "description": "当用户需要判断「某项智能体能力应该自建、采购还是编排」时激活。",
      "triggers": [],
      "framework_url": "../framework/F04.html",
      "skill_url": "F04.md"
    },
    {
      "id": "F05",
      "title_zh": "数字劳动力资产观",
      "title_en": "Digital Labor Assetization Method",
      "abbr": "DLAM",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "混合型",
      "skill_yaml_name": "F05_AaaA_digital_labor_asset",
      "description": "当用户需要评估智能体投入的资产价值、建立数字劳动力资产认知、或向管理层/投资方汇报AI资产规模时激活。",
      "triggers": [],
      "framework_url": "../framework/F05.html",
      "skill_url": "F05.md"
    },
    {
      "id": "F06",
      "title_zh": "智能体即服务商业模型",
      "title_en": "Agent as a Service",
      "abbr": "AaaS",
      "module_id": "M1",
      "module_name": "竞争重写",
      "module_en": "Competition",
      "module_color": "#8B5CFF",
      "type": "混合型",
      "skill_yaml_name": "F06_AaaS_business_model",
      "description": "当用户需要评估或设计智能体能力的商业化变现方案时激活。",
      "triggers": [],
      "framework_url": "../framework/F06.html",
      "skill_url": "F06.md"
    },
    {
      "id": "F07",
      "title_zh": "人机混合网络组织",
      "title_en": "Human-Agent Capability Network Organization",
      "abbr": "HACNO",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "分析型",
      "skill_yaml_name": "F07_agentic_network_design",
      "description": "当用户需要设计或分析人机混合组织形态时激活。",
      "triggers": [],
      "framework_url": "../framework/F07.html",
      "skill_url": "F07.md"
    },
    {
      "id": "F08",
      "title_zh": "双前台智能体中台架构",
      "title_en": "Dual-Front Agent Middle Platform",
      "abbr": "DFAMP",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "分析型",
      "skill_yaml_name": "F08_agent_platform_architecture",
      "description": "当用户需要设计或诊断智能体中台架构时激活。",
      "triggers": [],
      "framework_url": "../framework/F08.html",
      "skill_url": "F08.md"
    },
    {
      "id": "F09",
      "title_zh": "人机责任决策矩阵",
      "title_en": "Human-Agent Responsibility Decision Matrix",
      "abbr": "RACI-A × DAL",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "决策型",
      "skill_yaml_name": "F09_human_agent_governance",
      "description": "当用户需要设计或审查人机协同治理结构时激活。",
      "triggers": [],
      "framework_url": "../framework/F09.html",
      "skill_url": "F09.md"
    },
    {
      "id": "F10",
      "title_zh": "智能体时代企业岗位体系",
      "title_en": "Agentic Role Redesign Method",
      "abbr": "ARRM",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "决策型",
      "skill_yaml_name": "F10_agentic_roles_system",
      "description": "当用户需要重新设计岗位体系或识别AI战略落地的人才瓶颈时激活。",
      "triggers": [],
      "framework_url": "../framework/F10.html",
      "skill_url": "F10.md"
    },
    {
      "id": "F11",
      "title_zh": "智能体安全三系统架构",
      "title_en": "Agent Boundary-Escalation-Recovery System",
      "abbr": "ABERS",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "混合型",
      "skill_yaml_name": "F11_boundary_escalation_recovery",
      "description": "当用户需要设计或审查Agent运行时的安全控制机制时激活。",
      "triggers": [],
      "framework_url": "../framework/F11.html",
      "skill_url": "F11.md"
    },
    {
      "id": "F12",
      "title_zh": "组织变革与文化范式",
      "title_en": "Kotter-AI Transformation Framework",
      "abbr": "Kotter-AI",
      "module_id": "M2",
      "module_name": "组织重写",
      "module_en": "Organization",
      "module_color": "#FF7A45",
      "type": "诊断型",
      "skill_yaml_name": "agentic-organizational-transformation",
      "description": "基于 Kotter-AI 八步变革法与 Agent-First 文化六特征，诊断组织在 AI 转型中的",
      "triggers": [],
      "framework_url": "../framework/F12.html",
      "skill_url": "F12.md"
    },
    {
      "id": "F13",
      "title_zh": "智能体角色定位光谱",
      "title_en": "Agent Role Positioning Spectrum",
      "abbr": "ARPS",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "分析型",
      "skill_yaml_name": "F13_APS_agent_positioning",
      "description": "当用户需要定义或讨论Agent产品的定位时激活。",
      "triggers": [],
      "framework_url": "../framework/F13.html",
      "skill_url": "F13.md"
    },
    {
      "id": "F14",
      "title_zh": "结果导向任务框架",
      "title_en": "Job-to-Be-Outcome-Owned",
      "abbr": "JTBO",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "决策型",
      "skill_yaml_name": "F14_JTBO_result_oriented_task",
      "description": "当用户需要定义Agent任务的「成功结果」而非「要做什么功能」时激活。",
      "triggers": [],
      "framework_url": "../framework/F14.html",
      "skill_url": "F14.md"
    },
    {
      "id": "F15",
      "title_zh": "上下文优先设计",
      "title_en": "Context-Aware Design Method",
      "abbr": "CADM",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "设计型",
      "skill_yaml_name": "context-first-design",
      "description": "上下文优先设计（Context-First Design）。当需要为Agent产品设计信息架构、",
      "triggers": [],
      "framework_url": "../framework/F15.html",
      "skill_url": "F15.md"
    },
    {
      "id": "F16",
      "title_zh": "托付型产品市场匹配法",
      "title_en": "Delegation Product-Market Fit",
      "abbr": "D-PMF",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "诊断型",
      "skill_yaml_name": "reliability-pmf-diagnosis",
      "description": "可靠性产品市场匹配诊断（Reliability-PMF）。当需要评估Agent产品是否达到",
      "triggers": [],
      "framework_url": "../framework/F16.html",
      "skill_url": "F16.md"
    },
    {
      "id": "F17",
      "title_zh": "可信智能体七维评估法",
      "title_en": "VERITAS — Seven-Dimensional Trustworthy Agent Evaluation",
      "abbr": "VERITAS",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "评估型",
      "skill_yaml_name": "veritas-evaluation",
      "description": "七维智能体评估模型（VERITAS）。当需要全面评估Agent能力、判断是否可上线、",
      "triggers": [],
      "framework_url": "../framework/F17.html",
      "skill_url": "F17.md"
    },
    {
      "id": "F18",
      "title_zh": "可治理信任模型",
      "title_en": "CATER — Governable Trust Five-Dimension Model",
      "abbr": "CATER",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "评估型",
      "skill_yaml_name": "cater-governance-evaluation",
      "description": "可治理信任模型评估（CATER）。当需要评估Agent的治理信任水平、判断是否",
      "triggers": [],
      "framework_url": "../framework/F18.html",
      "skill_url": "F18.md"
    },
    {
      "id": "F19",
      "title_zh": "多智能体架构成熟度阶梯",
      "title_en": "Multi-Agent Architecture Maturity Ladder",
      "abbr": "MAAML",
      "module_id": "M3",
      "module_name": "产品重写",
      "module_en": "Product",
      "module_color": "#36C9C6",
      "type": "决策型",
      "skill_yaml_name": "mas-architecture-selection",
      "description": "多智能体架构阶梯选型（MAS Architecture Ladder）。当需要选择Agent架构层级、",
      "triggers": [],
      "framework_url": "../framework/F19.html",
      "skill_url": "F19.md"
    },
    {
      "id": "F20",
      "title_zh": "评测驱动工程法",
      "title_en": "Triple-E Evaluation-Driven Engineering",
      "abbr": "E³",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "决策型",
      "skill_yaml_name": "triple-e-engineering",
      "description": "当用户提到Agent开发方法论、评测驱动开发、Eval优先、实验管理、",
      "triggers": [],
      "framework_url": "../framework/F20.html",
      "skill_url": "F20.md"
    },
    {
      "id": "F21",
      "title_zh": "智能体 Skill 资产治理",
      "title_en": "Skill Asset Governance Method",
      "abbr": "SAG",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "决策型",
      "skill_yaml_name": "skill-asset-governance",
      "description": "当用户提到Skill治理、能力资产化、Skill Hub、技能管理、能力注册、",
      "triggers": [],
      "framework_url": "../framework/F21.html",
      "skill_url": "F21.md"
    },
    {
      "id": "F22",
      "title_zh": "执行链路四环诊断法",
      "title_en": "Prompt-Retrieval-Tool-Decision Diagnostic Method",
      "abbr": "PRTD",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "分析型",
      "skill_yaml_name": "execution-chain-diagnosis",
      "description": "当用户提到Agent调试、执行链路、输出质量差、意图理解偏差、",
      "triggers": [],
      "framework_url": "../framework/F22.html",
      "skill_url": "F22.md"
    },
    {
      "id": "F23",
      "title_zh": "企业智能体六层架构",
      "title_en": "Six-Layer Enterprise Agent Architecture",
      "abbr": "SEAA",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "分析型",
      "skill_yaml_name": "aea-architecture-assessment",
      "description": "当用户提到企业架构、Agent架构分层、MCP协议、A2A协议、",
      "triggers": [],
      "framework_url": "../framework/F23.html",
      "skill_url": "F23.md"
    },
    {
      "id": "F24",
      "title_zh": "智能体全生命周期开发法",
      "title_en": "Agent Development Lifecycle Method",
      "abbr": "ADLC",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "决策型",
      "skill_yaml_name": "adlc-lifecycle",
      "description": "当用户提到Agent开发流程、开发生命周期、ADLC、SDLC对比、",
      "triggers": [],
      "framework_url": "../framework/F24.html",
      "skill_url": "F24.md"
    },
    {
      "id": "F25",
      "title_zh": "正常—边缘—对抗三层评测矩阵",
      "title_en": "Three-Layer Scenario Evaluation Matrix",
      "abbr": "TSEM",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "决策型",
      "skill_yaml_name": "eval-matrix-design",
      "description": "当用户提到评测矩阵、测试设计、评测指标、质量评估、",
      "triggers": [],
      "framework_url": "../framework/F25.html",
      "skill_url": "F25.md"
    },
    {
      "id": "F26",
      "title_zh": "概率回归测试法",
      "title_en": "Probabilistic Regression Testing",
      "abbr": "PRT",
      "module_id": "M4",
      "module_name": "系统重写",
      "module_en": "System",
      "module_color": "#52C41A",
      "type": "决策型",
      "skill_yaml_name": "prt-quality-gate",
      "description": "当用户提到概率回归测试、PRT、质量门禁、回归检测、CI/CD集成、",
      "triggers": [],
      "framework_url": "../framework/F26.html",
      "skill_url": "F26.md"
    },
    {
      "id": "F27",
      "title_zh": "智能体运营五级成熟度模型",
      "title_en": "AgentOps Five-Level Maturity Model",
      "abbr": "AOMM",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "评估型",
      "skill_yaml_name": "agentops-maturity-assessment",
      "description": "智能体运营成熟度评估——判断组织AgentOps处于哪个阶段（M1-M5），",
      "triggers": [],
      "framework_url": "../framework/F27.html",
      "skill_url": "F27.md"
    },
    {
      "id": "F28",
      "title_zh": "智能体运营指标金字塔",
      "title_en": "Three-Dimensional SLI/SLO Pyramid",
      "abbr": "3DSP",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "决策型",
      "skill_yaml_name": "sli-slo-pyramid",
      "description": "三层SLI/SLO金字塔——为智能体建立成本层、性能层、质量层三层指标体系，",
      "triggers": [],
      "framework_url": "../framework/F28.html",
      "skill_url": "F28.md"
    },
    {
      "id": "F29",
      "title_zh": "数字员工绩效评分卡",
      "title_en": "Digital Worker Performance Scorecard",
      "abbr": "DWPS",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "评估型",
      "skill_yaml_name": "agent-scorecard",
      "description": "智能体绩效评分卡——四维评估Agent表现（结果40%+质量25%+效率20%+经济15%），",
      "triggers": [],
      "framework_url": "../framework/F29.html",
      "skill_url": "F29.md"
    },
    {
      "id": "F30",
      "title_zh": "单次成功任务成本法",
      "title_en": "Cost per Successful Task",
      "abbr": "CPST",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "分析型",
      "skill_yaml_name": "cpta-cost-model",
      "description": "单位任务成本模型——计算CPTA/CPS五项成本构成，用业务语义成功率作为分母，",
      "triggers": [],
      "framework_url": "../framework/F30.html",
      "skill_url": "F30.md"
    },
    {
      "id": "F31",
      "title_zh": "智能体价值回报核算法",
      "title_en": "Agent ROI Accounting Method",
      "abbr": "Agent ROI",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "决策型",
      "skill_yaml_name": "agent-roi-model",
      "description": "Token投资回报模型——四类价值评估（人力节省/效率提升/收入增长/风险降低），",
      "triggers": [],
      "framework_url": "../framework/F31.html",
      "skill_url": "F31.md"
    },
    {
      "id": "F32",
      "title_zh": "智能体全域风险治理法",
      "title_en": "Seven-Risk Agent Governance Method",
      "abbr": "SRAG",
      "module_id": "M5",
      "module_name": "价值重写",
      "module_en": "Value",
      "module_color": "#FFC53D",
      "type": "决策型",
      "skill_yaml_name": "agent-risk-registry",
      "description": "智能体风险登记系统——识别七类新型风险（提示注入/幻觉/数据泄露/多Agent级联/",
      "triggers": [],
      "framework_url": "../framework/F32.html",
      "skill_url": "F32.md"
    },
    {
      "id": "F33",
      "title_zh": "智能体能力成熟度模型",
      "title_en": "Individual Agentic Capability Maturity Model",
      "abbr": "IACMM",
      "module_id": "M6",
      "module_name": "人类重写",
      "module_en": "Human",
      "module_color": "#F759AB",
      "type": "评估型",
      "skill_yaml_name": "acmm-capability-maturity-assessment",
      "description": "基于智能体能力成熟度模型（ACMM），评估个人或组织的 AI 能力等级——",
      "triggers": [],
      "framework_url": "../framework/F33.html",
      "skill_url": "F33.md"
    },
    {
      "id": "F34",
      "title_zh": "角色转型地图",
      "title_en": "Task Structure Migration Map",
      "abbr": "TSMM",
      "module_id": "M6",
      "module_name": "人类重写",
      "module_en": "Human",
      "module_color": "#F759AB",
      "type": "分析型",
      "skill_yaml_name": "role-transformation-map",
      "description": "基于任务四象限分析框架，诊断 AI 对岗位的影响不是\"岗位存亡\"而是\"任务结构变化\"，",
      "triggers": [],
      "framework_url": "../framework/F34.html",
      "skill_url": "F34.md"
    },
    {
      "id": "F35",
      "title_zh": "智能体能力结构评估法",
      "title_en": "Four-Dimensional Agentic Literacy Assessment",
      "abbr": "FALA",
      "module_id": "M6",
      "module_name": "人类重写",
      "module_en": "Human",
      "module_color": "#F759AB",
      "type": "评估型",
      "skill_yaml_name": "agent-literacy-assessment",
      "description": "基于智能体素养评估模型（Agent Literacy Assessment），通过四维×五级矩阵",
      "triggers": [],
      "framework_url": "../framework/F35.html",
      "skill_url": "F35.md"
    },
    {
      "id": "F36",
      "title_zh": "人类核心能力六维模型",
      "title_en": "AC6 — Agentic Core 6 Capability Model",
      "abbr": "AC6",
      "module_id": "M6",
      "module_name": "人类重写",
      "module_en": "Human",
      "module_color": "#F759AB",
      "type": "评估型",
      "skill_yaml_name": "ac6-core-capability-assessment",
      "description": "基于六维核心能力模型（AC6），评估个人在智能体时代的核心能力结构——",
      "triggers": [],
      "framework_url": "../framework/F36.html",
      "skill_url": "F36.md"
    }
  ]
}