{
  "name": "voc-proposal",
  "displayName": "VOC产品优化提案生成",
  "description": "整合所有VOC分析成果，AI生成11章节产品优化提案（含ROI估算+30天行动线）",
  "category": "synthesis",
  "version": "2.1.0",
  "type": "analysis",
  "parameters": {
    "categoryLandscape": {
      "type": "object",
      "required": true,
      "description": "synthesis/category-landscape 输出"
    },
    "brandProfile": {
      "type": "object",
      "required": true,
      "description": "synthesis/brand-profile 输出"
    },
    "competitorData": {
      "type": "object",
      "required": true,
      "description": "competitor-analysis 相关输出汇总"
    },
    "reviewAnalysis": {
      "type": "object",
      "required": true,
      "description": "review-analysis 相关输出汇总"
    },
    "socialVocData": {
      "type": "object",
      "required": false,
      "description": "social-voc 相关输出汇总"
    },
    "userPersona": {
      "type": "object",
      "required": true,
      "description": "synthesis/user-persona 输出"
    },
    "brandName": {
      "type": "string",
      "required": true,
      "description": "品牌名称"
    },
    "categoryKeyword": {
      "type": "string",
      "required": true,
      "description": "品类关键词"
    }
  },
  "pipeline": [
    {
      "step": 1,
      "name": "构建数据索引",
      "type": "compute",
      "logic": "buildDataIndex(categoryLandscape, brandProfile, competitorData, reviewAnalysis, socialVocData, userPersona)",
      "algorithm": {
        "index": "将所有上游技能输出按章节主题分类索引",
        "chapters": {
          "ch1_market": "categoryLandscape → 市场总览/CR5/价格带/搜索趋势",
          "ch2_competitor": "competitorData → 竞品发现/对比矩阵/定价分析/BSR追踪",
          "ch3_voc": "reviewAnalysis → 情感分布/痛点TOP/亮点TOP/关键词云",
          "ch4_social": "socialVocData → TikTok热度/IG策略/趋势话题",
          "ch5_user": "userPersona → 用户画像/场景分布/决策因素",
          "ch6_action": "综合所有数据 → 产品优化行动计划"
        },
        "completeness": "检查各数据源是否完整，缺失的标记为data_missing"
      },
      "output": "dataIndex"
    },
    {
      "step": 2,
      "name": "AI生成提案",
      "type": "ai",
      "logic": "generateProposal(dataIndex, { brandName, categoryKeyword, template: '6-chapter' })",
      "aiConfig": {
        "systemPrompt": "你是跨境电商VOC分析专家。请基于数据生成结构化的产品优化提案。只输出JSON。",
        "userPromptTemplate": "品牌: ${brandName}\n品类: ${categoryKeyword}\n\n请生成6章节提案:\n1. 市场总览与机会 (${ch1_data})\n2. 竞争格局与定位 (${ch2_data})\n3. VOC洞察与产品优化 (${ch3_data})\n4. 社媒趋势与营销策略 (${ch4_data})\n5. 用户画像与场景策略 (${ch5_data})\n6. 行动计划与优先级 (${all_data})",
        "outputFormat": "{\"chapters\":[{\"title\":\"市场总览与机会\",\"sections\":[{\"heading\":\"\",\"content\":\"\",\"dataRef\":\"\"}],\"keyFindings\":[\"\"],\"recommendations\":[\"\"]}]}",
        "temperature": 0.3,
        "maxTokens": 8000,
        "promptPattern": "system约束JSON输出 + user按章节注入数据摘要 + outputFormat示例引导结构"
      },
      "output": "proposal"
    },
    {
      "step": 3,
      "name": "添加数据引用+生成Markdown",
      "type": "compute",
      "logic": "addDataReferences(proposal, dataIndex)",
      "algorithm": {
        "dataRef": "为每个章节的每个结论添加数据来源引用",
        "markdown": "将JSON提案转化为完整Markdown文档，包含目录/执行摘要/6章节/附录",
        "executiveSummary": "从各章keyFindings和recommendations中提取核心要点生成执行摘要",
        "completenessReport": "标注数据完整度: 哪些章节有完整数据支撑，哪些基于AI推断"
      },
      "output": "finalProposal"
    },
    {
      "step": 4,
      "name": "ROI估算与风险整合",
      "type": "compute",
      "logic": "computeRoiAndRisks(proposal, dataIndex, categoryLandscape, competitorData)",
      "algorithm": {
        "roiEstimation": {
          "perRecommendation": "为每条建议估算: 投入成本/预期收益/回本周期",
          "listingOptimization": "$0成本, 预计提升转化率10-20%, 回本0天",
          "ppcCampaign": "日预算$30-50, ACOS目标<30%, 14天见效",
          "productIteration": "模具/包装改良成本估算, 60-90天回本",
          "socialMarketing": "KOL合作费用估算, 30-45天见效"
        },
        "riskIntegration": {
          "method": "从哄类格局/竞品分析中汇总风险预警",
          "mitigation": "每个风险配套缓解策略"
        }
      },
      "output": "roiAndRisks"
    },
    {
      "step": 5,
      "name": "30天行动时间线",
      "type": "compute",
      "logic": "build30DayTimeline(proposal, roiAndRisks, dataIndex)",
      "algorithm": {
        "weeklyBreakdown": {
          "week1": [
            "Listing优化(标题/五点/ST植入核心词)",
            "差评快速响应机制启动",
            "广告活动搭建(Auto+手动精准)"
          ],
          "week2": [
            "A+页面优化",
            "广告Bid调优基于第一周数据",
            "社媒内容发布启动"
          ],
          "week3": [
            "主图/视频迭代优化",
            "广告否词清理+新词扩展",
            "促销活动启动(Coupon/Deal)"
          ],
          "week4": [
            "效果复盘+数据分析",
            "下月计划制定",
            "库存补货决策"
          ]
        },
        "milestones": [
          {
            "day": 7,
            "target": "Listing优化完成，广告开始积累数据"
          },
          {
            "day": 14,
            "target": "广告ACOS降至目标值，有机流量开始提升"
          },
          {
            "day": 21,
            "target": "转化率提升可见，社媒引流开始起效"
          },
          {
            "day": 30,
            "target": "全面复盘，确认下一阶段重点"
          }
        ]
      },
      "output": "actionTimeline"
    }
  ],
  "response": {
    "type": "object",
    "properties": {
      "proposal": {
        "type": "object",
        "description": "完整提案结构",
        "properties": {
          "title": {
            "type": "string"
          },
          "date": {
            "type": "string"
          },
          "executiveSummary": {
            "type": "string"
          },
          "chapters": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "title": {
                  "type": "string"
                },
                "sections": {
                  "type": "array"
                },
                "keyFindings": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  }
                },
                "recommendations": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  }
                }
              }
            }
          },
          "fullMarkdown": {
            "type": "string",
            "description": "完整Markdown文档"
          }
        }
      },
      "dataReferences": {
        "type": "object",
        "description": "数据引用和完整度",
        "properties": {
          "completeness": {
            "type": "number",
            "description": "0-100数据完整度"
          },
          "availableSources": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "missingSources": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      },
      "roiEstimation": {
        "type": "array",
        "description": "每条建议的ROI估算",
        "items": {
          "type": "object",
          "properties": {
            "recommendation": {
              "type": "string"
            },
            "investmentCost": {
              "type": "string"
            },
            "expectedReturn": {
              "type": "string"
            },
            "paybackPeriod": {
              "type": "string"
            },
            "priority": {
              "type": "string",
              "enum": [
                "high",
                "medium",
                "low"
              ]
            }
          }
        }
      },
      "riskAlerts": {
        "type": "array",
        "description": "整合风险预警+缓解策略",
        "items": {
          "type": "object",
          "properties": {
            "title": {
              "type": "string"
            },
            "level": {
              "type": "string",
              "enum": [
                "high",
                "medium",
                "low"
              ]
            },
            "description": {
              "type": "string"
            },
            "mitigation": {
              "type": "string"
            }
          }
        }
      },
      "actionTimeline": {
        "type": "object",
        "description": "30天行动时间线",
        "properties": {
          "weeks": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "week": {
                  "type": "integer"
                },
                "tasks": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  }
                }
              }
            }
          },
          "milestones": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "day": {
                  "type": "integer"
                },
                "target": {
                  "type": "string"
                }
              }
            }
          }
        }
      }
    }
  },
  "timeout": 300000,
  "retry": {
    "maxAttempts": 2,
    "delay": 3000,
    "backoffMultiplier": 2
  },
  "tokenConfig": {
    "type": "bearer",
    "configFile": "~/.openclaw/voc-credentials.json",
    "tokenField": "vocToken",
    "resolutionOrder": [
      "configFile"
    ],
    "apigId": "7HwdQZk55B",
    "paymentUrlResolution": {
      "description": "动态构建充值URL：在已存在 session token 时查出用户 objectId，拼接到专属充值页面",
      "steps": [
        "1. 从 voc-credentials.json 获取当前 session token",
        "2. 调用 GET https://server.fmode.cn/parse/users/me （Header: X-Parse-Application-Id: ncloudmaster, X-Parse-Session-Token: {token}）获取用户 objectId",
        "3. 拼接充值URL: https://app.fmode.cn/dev/apig-pay/?user={objectId}&apigid=7HwdQZk55B&fun_id=HOkkX72PMF",
        "4. 将该URL展示给用户，引导扫码支付"
      ],
      "userResolveEndpoint": "https://server.fmode.cn/parse/users/me",
      "userResolveHeaders": {
        "X-Parse-Application-Id": "ncloudmaster",
        "X-Parse-Session-Token": "{vocToken}"
      },
      "paymentBaseUrl": "https://app.fmode.cn/dev/apig-pay/",
      "paymentParams": {
        "user": "{resolvedUserId}",
        "apigid": "7HwdQZk55B",
        "fun_id": "HOkkX72PMF"
      },
      "balanceCheckEndpoint": "https://server.fmode.cn/api/apig/getApig"
    },
    "onMissing": {
      "action": "showPaymentQR",
      "qrCodeUrl": "https://app.fmode.cn/dev/apig-pay/?apigid=7HwdQZk55B&fun_id=HOkkX72PMF",
      "title": "扫码开通 VOC-AI 数据服务",
      "message": "此 Skill 需要有效的 API Token。请先打开充值页面完成登录和充值；当用户提供 session token 后，请由 OpenClaw 运行 node scripts/tools/set-voc-token.js <session-token> 写入 ~/.openclaw/voc-credentials.json 的 vocToken 字段，再重试当前 Skill。",
      "tokenSetupCommandTemplate": "node scripts/tools/set-voc-token.js {sessionToken}",
      "tokenSetupInstructions": "当用户完成登录和充值后，如果用户把 session token 发给你，请直接运行 node scripts/tools/set-voc-token.js <session-token> 写入 ~/.openclaw/voc-credentials.json，然后重试当前 Skill。"
    },
    "onBalanceInsufficient": {
      "action": "resolveUserThenShowPayment",
      "title": "VOC-AI Token 余额不足，请扫码充值",
      "message": "当前 Token 余额不足，我将为你生成专属充值链接，扫码支付后即可继续使用。"
    }
  },
  "errorHandling": {
    "balanceInsufficient": {
      "conditions": [
        {
          "responseField": "code",
          "operator": "in",
          "value": [
            -2,
            -3,
            -10,
            402,
            429
          ]
        },
        {
          "responseField": "msg",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "quota",
            "没有开通",
            "权限或余额"
          ]
        },
        {
          "responseField": "mess",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "quota",
            "没有开通",
            "权限或余额"
          ]
        },
        {
          "responseField": "message",
          "operator": "contains",
          "value": [
            "余额不足",
            "insufficient",
            "balance",
            "没有开通",
            "权限或余额"
          ]
        }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onBalanceInsufficient"
    },
    "unauthorized": {
      "conditions": [
        {
          "responseField": "code",
          "operator": "in",
          "value": [
            401,
            403
          ]
        },
        {
          "responseField": "msg",
          "operator": "contains",
          "value": [
            "unauthorized",
            "token",
            "invalid",
            "auth"
          ]
        }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onMissing"
    }
  }
}