openclaw-voc-skill/synthesis/user-persona/api-config.json

{
  "name": "user-persona",
  "displayName": "用户画像生成",
  "description": "融合电商VOC和社媒VOC，AI生成核心用户画像、使用场景和决策因素",
  "category": "synthesis",
  "version": "1.3.0",
  "type": "analysis",
  "parameters": {
    "reviewKeywordCloud": {
      "type": "object",
      "required": true,
      "description": "review-keyword-cloud 输出"
    },
    "reviewPainPoints": {
      "type": "object",
      "required": true,
      "description": "review-pain-point-extraction 输出"
    },
    "reviewHighlights": {
      "type": "object",
      "required": true,
      "description": "review-highlight-extraction 输出"
    },
    "socialTrendAnalysis": {
      "type": "object",
      "required": false,
      "description": "social-trend-analysis 输出（可选）"
    },
    "categoryKeyword": {
      "type": "string",
      "required": true,
      "description": "品类关键词"
    }
  },
  "pipeline": [
    {
      "step": 1,
      "name": "提取使用场景",
      "type": "compute",
      "logic": "extractScenarios(reviewKeywordCloud, socialTrendAnalysis)",
      "algorithm": {
        "keywordClustering": "从评论关键词中提取场景相关词(bedroom/bathroom/gift/office等)",
        "socialScenarios": "从社媒趋势中提取热门场景(home decor/self-care/gifting等)",
        "frequencyRank": "按场景出现频率排序",
        "implementation": "将关键词按场景词典(bedroom/bathroom/gift/office/travel等)匹配分类，统计频率排序"
      },
      "output": "scenarios"
    },
    {
      "step": 2,
      "name": "提取决策因素",
      "type": "compute",
      "logic": "extractDecisionFactors(reviewPainPoints, reviewHighlights, socialTrendAnalysis)",
      "algorithm": {
        "fromPainPoints": "痛点反转 = 用户核心关注点(e.g. “香味太淡”→“香味浓度”)",
        "fromHighlights": "亮点直接映射为决策因素",
        "weight": "factor.weight = painFreq*0.4 + highlightFreq*0.3 + socialMention*0.3",
        "implementation": "痛点topic反转为决策因素 + 亮点topic直接映射 + 社媒热词补充，用weight公式排序"
      },
      "output": "decisionFactors"
    },
    {
      "step": 3,
      "name": "AI生成用户画像",
      "type": "ai",
      "logic": "generatePersonas(scenarios, decisionFactors, reviewKeywordCloud, socialTrendAnalysis)",
      "aiConfig": {
        "systemPrompt": "你是跨境电商用户研究专家。只输出一个合法JSON对象。禁止输出Markdown、代码围栏、解释文字。",
        "userPromptTemplate": "基于以下VOC数据，生成3-5个核心用户画像。每个画像包含: 名称/年龄段/核心场景/决策因素/价格敏感度/社媒平台偏好/购买动机。\n场景数据: ${scenarios}\n决策因素: ${decisionFactors}\n关键词: ${topKeywords}",
        "outputFormat": "{\"personas\":[{\"name\":\"“品质生活家\u201d\",\"ageRange\":\"28-40\",\"coreScenario\":\"家居装饰\",\"decisionFactors\":[\"品质\",\"香味\"],\"priceSensitivity\":\"medium\",\"socialPreference\":\"Instagram\",\"motivation\":\"提升家居氛围\"}]}",
        "temperature": 0.3,
        "maxTokens": 3000,
        "promptPattern": "system约束JSON输出 + user提供结构化数据 + outputFormat示例引导格式"
      },
      "output": "personas"
    },
    {
      "step": 4,
      "name": "购买行为分析",
      "type": "compute",
      "logic": "analyzePurchaseBehavior(personas, reviewKeywordCloud, reviewPainPoints, socialTrendAnalysis)",
      "algorithm": {
        "priceSensitivityMapping": {
          "method": "将用户画像的价格敏感度映射到品类价格带",
          "high": "偏好低价带/中低价带，重视促销折扣",
          "medium": "偏好黄金中价带，重视性价比",
          "low": "偏好中高/高价带，重视品质与品牌"
        },
        "seasonalPatterns": {
          "method": "从评论日期分布+社媒趋势提取季节性购买规律",
          "peakMonths": "评论集中的月份 = 购买高峰期",
          "giftSeason": "Q4(感恩节/圣诞)/情人节/母亲节等送礼场景高峰"
        },
        "channelPreference": {
          "method": "根据社媒平台偏好+年龄段推断购买渠道",
          "youngAdult": "TikTok种草→Amazon购买, 重视网红推荐",
          "middleAge": "搜索驱动→Amazon直购, 重视评论和评分",
          "giftBuyer": "社媒灵感→直接购买, 重视包装和送达时间"
        }
      },
      "output": "purchaseBehavior"
    },
    {
      "step": 5,
      "name": "生成画像手册",
      "type": "compute",
      "logic": "buildHandbook(personas, scenarios, decisionFactors, purchaseBehavior)",
      "algorithm": {
        "format": "Markdown格式: 每个画像一个章节，包含基本信息/场景/决策因素/购买行为/营销建议",
        "scenarioChart": "场景分布饼图数据",
        "factorRanking": "决策因素权重柱状图数据",
        "marketingStrategy": "每个画像的精准营销策略: 触达渠道/内容形式/促销引导/复购策略"
      },
      "output": "handbook"
    }
  ],
  "response": {
    "type": "object",
    "properties": {
      "personas": {
        "type": "array",
        "description": "核心用户类型列表",
        "items": {
          "type": "object",
          "properties": {
            "name": { "type": "string" },
            "ageRange": { "type": "string" },
            "coreScenario": { "type": "string" },
            "decisionFactors": { "type": "array", "items": { "type": "string" } },
            "priceSensitivity": { "type": "string", "enum": ["high", "medium", "low"] },
            "socialPreference": { "type": "string" },
            "motivation": { "type": "string" },
            "proportion": { "type": "number", "description": "估算占比%" }
          }
        }
      },
      "scenarioDistribution": {
        "type": "array",
        "description": "使用场景分布",
        "items": {
          "type": "object",
          "properties": {
            "scenario": { "type": "string" },
            "proportion": { "type": "number" }
          }
        }
      },
      "decisionFactorRanking": {
        "type": "array",
        "description": "决策因素权重排序",
        "items": {
          "type": "object",
          "properties": {
            "factor": { "type": "string" },
            "weight": { "type": "number" }
          }
        }
      },
      "handbookMarkdown": { "type": "string", "description": "画像手册(Markdown)" },
      "purchaseBehavior": {
        "type": "object",
        "description": "购买行为分析",
        "properties": {
          "priceSensitivityMap": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "persona": { "type": "string" },
                "sensitivity": { "type": "string", "enum": ["high", "medium", "low"] },
                "preferredBand": { "type": "string" },
                "promotionResponse": { "type": "string" }
              }
            }
          },
          "seasonalPatterns": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "period": { "type": "string" },
                "peakLevel": { "type": "string", "enum": ["high", "medium", "low"] },
                "dominantPersona": { "type": "string" },
                "marketingFocus": { "type": "string" }
              }
            }
          },
          "channelPreferences": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "persona": { "type": "string" },
                "primaryChannel": { "type": "string" },
                "discoveryPath": { "type": "string" },
                "conversionDriver": { "type": "string" }
              }
            }
          }
        }
      }
    }
  },
  "timeout": 300000,
  "retry": {
    "maxAttempts": 2,
    "delay": 1000,
    "backoffMultiplier": 2
  }
}