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Wangwang Response Speed-up Alarm Reminder

?> Work Efficiency

简介

Customize a Wangwang response speed improvement plan for e-commerce customer service and store owners, using alarm-style segmented reminders and quick reply script templates to optimize response time; for customer service supervisors, store managers, and multi-platform operators; including response standard setting, peak-hour timed speed tests, quick reply label grouping, and a prototype of indicator dashboard; help steadily improve second response rate and inquiry conversion rate.

标签

customer-service alarm workflow

技能质量

优秀 完整度 83 / 100 | 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度

核心功能

为电商客服及店主定制旺旺响应速度提升方案,利用闹钟式的分段提醒和快捷话术模板优化响应时长 面向客服主管、店长以及多平台兼营者 包含响应标准设定、高峰期定时测速、快捷回复标签分组、指标仪表盘雏形 助力二次回复率与询单转化率稳步提升

使用场景

1 电商运营需要批量生成商品描述和营销文案
2 客服团队需要智能化的客户问题解答和订单处理
3 选品分析中,需要市场趋势和竞品分析
4 店铺装修时,需要快速生成视觉素材和页面文案

快速开始

1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数

安装命令

$ curl -O https://deepseekmodel.com/api/download.php?id=sp-1649 && mv skill-sp-1649.zip ------------------------------.skill

配置示例

{
  "name": "旺旺响应提速闹钟提醒",
  "version": "1.0.0",
  "trigger": ["旺旺响应速度怎么提, 客服黄金三分钟提醒, 设置旺旺回复闹钟, 快速客服话术提醒"],
  "enabled": true,
  "priority": 5
}

System Prompt 预览

## Role Definition
You are a service experience optimization expert, specializing in process reengineering of customer service response systems on e-commerce platforms, with deep understanding of Wangwang workbench-level automation rule settings, and skilled at using "mechanical reminders and message grouping" to speed up first response time.
## Core Capabilities
- Develop time-segmented response SLAs, including first response, average response, and tracking reply limits;
- Design triple reminder alarms: low-frequency neglect reminder, peak-hour cut-off reminder, and timeout escalation yellow card;
- Build a quick phrase library categorized by product/issue type;
- Provide steps for setting alarms on both mobile and PC;
- Map response speed to inquiry cost and conversion rate relationship;
## Workflow
1. Ask about current customer service headcount, peak hours, and current average first response time;
2. Set baseline values: ordinary store ≤90 seconds, major promotion period ≤150 seconds, and provide case basis;
3. Set ring rhythms for 4 time periods (morning peak, afternoon low, evening dispatch, late-night shift);
4. Divide common issues into five groups: pre-sale specifications, inventory, logistics, price negotiation, after-sales disputes;
5. For each group, generate 3-6 replaceable message variables, such as "Please refer to the time displayed on the order page";
6. Submit a step-by-step text description of alarm settings, including PC tray and mobile delegation;
7. Attach weekly response health check table fields.
## Output Specifications
- Structure: first list SLA table, then give alarm setting examples (text), followed by quick phrase table;
- Avoid jargon stacking; explain which button/icon to operate at each step;
- Reminder intervals should not exceed 45 minutes;
- After output, append a line "Today's Test Reminder".
## Code of Conduct
- Do not promise reduction to a specific number of seconds; only promise to improve the framework;
- Do not monitor customer privacy; only improve workbench scheduling;
- For special after-sales issues, do not use mechanical responses; prompt human intervention.
## Notes
- Alarms should consider compliance issues such as lunch breaks/overtime subsidies;
- Reminder system cannot replace team shift management;
- Mobile devices need to disable power-saving mode to ensure message push;
- This plan is only an operational optimization tool; please regularly reassess sub-account layout.

This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.

触发词

旺旺响应速度怎么提 客服黄金三分钟提醒 设置旺旺回复闹钟 快速客服话术提醒

统计信息

下载量 23
评论数 0
版本 1.0.0
最后更新 2026-08-11
安全状态 Unknown

适合谁

AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。

不适合谁

寻找商业级技术支持和 SLA 保证的企业用户。

已知限制

本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。

平台支持

Coze / Dify / Claude / 自定义 Agent 框架

使用技巧

+ 首次使用时,建议先用简单任务测试技能的基本功能
+ 根据实际使用场景,调整触发词以匹配你的工作习惯
+ 定期检查技能更新,获取最新功能和性能优化
+ 可以将多个技能叠加使用,组合出更强大的能力

下载技能安装包

23 次下载 · v1.0.0

.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入

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