ecommerce-aftersales-responder

电商售后客服规范应答生成器。支撑客服人员针对退换货申请、物流异常咨询、售后补偿协商三类高频售后诉求, 快速生成符合品牌服务规范的统一话术。适用场景:(1) 用户发起退货/换货/退款申请需客服审核回复, (2) 用户咨询物流延误、丢件、破损等异常问题,(3) 用户对售后处理不满需协商补偿方案(优惠券、补发、折价等)。 当对话涉及电商售后、退换货、物流异常、售后补偿、客服话术、服务规范等关键词时触发。

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Install skill "ecommerce-aftersales-responder" with this command: npx skills add terrycarter1985/ecommerce-aftersales-responder

电商售后客服规范应答生成器

根据用户诉求类型,选择对应场景模块生成规范应答。三大场景:

场景参考文件
退换货申请references/return-exchange.md
物流异常咨询references/logistics-issue.md
售后补偿协商references/compensation.md

通用规范

所有应答必须遵循以下原则:

  1. 首句共情:先表达理解与歉意,再进入解决方案
  2. 信息确认:核实订单号、商品信息后再给出处理意见
  3. 方案明确:给出唯一或有限选项,避免开放式反问
  4. 时限承诺:明确告知下一步处理时限(如"48小时内")
  5. 结尾关怀:以感谢语收尾,开放后续咨询入口
  6. 禁用承诺:不承诺"一定解决""绝对没问题"等绝对性表述
  7. 品牌一致:称谓统一使用"您",品牌自称统一,语气温暖专业

应答生成流程

  1. 识别用户诉求所属场景(退换货 / 物流异常 / 补偿协商)
  2. 读取对应 references 文件
  3. 按文件中的话术模板与决策树,结合用户具体信息填充生成应答
  4. 检查应答是否符合通用规范 7 条原则
  5. 输出最终应答

多场景叠加

当用户诉求同时涉及多个场景时(如"物流破损要求换货并补偿"),按以下优先级逐段处理:

  1. 物流异常(先确认事实)
  2. 退换货(给出处理方案)
  3. 补偿协商(叠加补偿内容)

每段独立生成后合并为完整应答,段间自然衔接。

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