China Ecommerce Customer Service

v1.0.0

中国电商客服话术生成器。Use when user needs customer service scripts for Taobao, JD, Pinduoduo. Supports inquiry replies, complaint handling, after-sales service, review...

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Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tobewin/china-ecommerce-customer-service.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "China Ecommerce Customer Service" (tobewin/china-ecommerce-customer-service) from ClawHub.
Skill page: https://clawhub.ai/tobewin/china-ecommerce-customer-service
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install china-ecommerce-customer-service

ClawHub CLI

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npx clawhub@latest install china-ecommerce-customer-service
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Purpose & Capability
Name/description align with the SKILL.md content: the document provides platform-specific templates, example usage, and a small Python example for generating scripts for Taobao, JD, and Pinduoduo. Nothing requested (no env vars, binaries, or installs) appears unrelated to this purpose.
Instruction Scope
SKILL.md stays on scope: it describes templates, example prompts, and a Python class that formats messages. It does not instruct the agent to read local files, access system configuration, call external endpoints, or exfiltrate data. Note: the Python example is illustrative only; there are no runtime instructions to execute it or to connect to external services.
Install Mechanism
No install spec (instruction-only skill). No downloads, package installs, or extracted artifacts — lowest-risk install profile.
Credentials
No required environment variables, credentials, or config paths are declared or referenced. The skill does not request secrets or unrelated service tokens.
Persistence & Privilege
Skill is not always-enabled and uses default invocation settings. It does not request persistent system presence or modifications to other skills or system-wide agent settings.
Assessment
This skill appears coherent and low-risk: it only contains templates and example code for generating Chinese e‑commerce customer service replies and asks for no credentials or installs. Before using it in production, verify the source since no homepage is provided; review generated replies for compliance with platform rules and local laws; never paste or include customers' personal data (PII) into prompts you send to third-party models; and if you later integrate this with real systems (order databases, messaging APIs), expect to provide appropriate credentials and re-evaluate security and privacy implications at that time.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

💬 Clawdis
latestvk97739z3neyc8n40mx51wy9dan83ry6p
190downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

中国电商客服话术生成器

生成淘宝、京东、拼多多客服话术。

功能特点

  • 💬 多场景: 咨询/投诉/售后/评价
  • 🛒 多平台: 淘宝/京东/拼多多
  • 🎯 专业话术: 符合平台规范
  • 😊 高情商: 专业、礼貌、有效
  • 🇨🇳 中文优化: 符合中国客服风格
  • 快速生成: 即时生成话术

⚠️ 免责声明

本工具生成的话术仅供参考。 不同AI模型能力不同,话术质量可能有差异。 重要客户沟通请人工确认。 话术需符合平台规范和法律法规。

支持的场景

场景示例
咨询回复产品咨询、订单查询
投诉处理质量问题、服务投诉
售后服务退换货、维修
评价回复好评/差评回复
催付话术未付款提醒
好评引导引导好评

使用方式

User: "客户说收到商品有质量问题,怎么回复"
Agent: 生成专业的投诉处理话术

User: "帮我写一个差评回复"
Agent: 生成真诚的差评回复

User: "客户问发货时间,怎么回复"
Agent: 生成友好的咨询回复

平台规范

淘宝客服规范

  • 响应时间:5分钟内
  • 禁止词:绝对、保证、假一赔十
  • 推荐用语:亲、您好、感谢

京东客服规范

  • 响应时间:30秒内
  • 禁止词:无法保证、可能
  • 推荐用语:尊敬的客户、请问

拼多多客服规范

  • 响应时间:5分钟内
  • 风格:更亲切、口语化
  • 推荐用语:亲、宝子、感谢理解

Python代码

class CustomerServiceCopywriter:
    def __init__(self):
        self.platforms = {
            'taobao': {'greeting': '亲,您好', 'closing': '感谢您的支持~'},
            'jd': {'greeting': '尊敬的客户您好', 'closing': '感谢您的信任'},
            'pdd': {'greeting': '亲,你好呀', 'closing': '感谢理解~'}
        }
    
    def generate_inquiry_reply(self, platform, question_type, details):
        """生成咨询回复"""
        
        templates = {
            'shipping': {
                'taobao': '亲,您的订单已发货,预计{days}天内到达,请耐心等待哦~',
                'jd': '尊敬的客户,您的订单已发货,预计{days}天送达。',
                'pdd': '亲,已发货啦,大概{days}天到,耐心等等哦~'
            },
            'product': {
                'taobao': '亲,关于{product},{answer},还有其他问题随时问我哦~',
                'jd': '关于{product},{answer}。如有其他问题请随时咨询。',
                'pdd': '亲,{product}的情况是{answer},还有啥问题直接问哈~'
            },
            'price': {
                'taobao': '亲,{product}目前价格是{price}元,{promotion}~',
                'jd': '{product}当前售价{price}元,{promotion}。',
                'pdd': '亲,{product}现在{price}元,{promotion}~'
            }
        }
        
        template = templates.get(question_type, {}).get(platform, '请稍等,我帮您查询一下。')
        
        return template.format(**details)
    
    def generate_complaint_reply(self, platform, issue_type, solution):
        """生成投诉回复"""
        
        templates = {
            'quality': {
                'taobao': '亲,非常抱歉给您带来不好的体验。关于{issue},我们可以{solution},您看可以吗?',
                'jd': '尊敬的客户,对于您遇到的问题我们深表歉意。针对{issue},我们可以{solution}。',
                'pdd': '亲,真的抱歉让你遇到{issue}的情况。我们可以{solution},你看行不?'
            },
            'shipping': {
                'taobao': '亲,非常抱歉物流出现问题。{solution},给您添麻烦了~',
                'jd': '对于物流问题我们深表歉意。{solution}。',
                'pdd': '亲,物流出了问题真的很抱歉。{solution}~'
            }
        }
        
        template = templates.get(issue_type, {}).get(platform, '抱歉给您添麻烦了,我们{solution}。')
        
        return template.format(
            issue=details.get('issue', '这个问题'),
            solution=solution
        )
    
    def generate_review_reply(self, platform, review_type, content):
        """生成评价回复"""
        
        templates = {
            'positive': {
                'taobao': '亲,感谢您的认可和支持!您的满意是我们最大的动力,期待再次为您服务~',
                'jd': '感谢您的认可,我们会继续努力为您提供更好的服务!',
                'pdd': '谢谢亲的好评!你的支持是我们前进的动力,欢迎下次再来~'
            },
            'negative': {
                'taobao': '亲,非常抱歉给您带来不好的体验。关于您提到的{issue},我们已经{solution},希望能得到您的谅解。',
                'jd': '对于您的不满我们深表歉意。针对{issue},我们已{solution},感谢您的反馈。',
                'pdd': '亲,真的不好意思让你有{issue}的体验。我们已经{solution},希望能弥补~'
            }
        }
        
        template = templates.get(review_type, {}).get(platform, '感谢您的反馈!')
        
        return template.format(**content)

# 使用示例
cs = CustomerServiceCopywriter()

# 咨询回复
reply = cs.generate_inquiry_reply('taobao', 'shipping', {'days': '3'})

# 投诉回复
reply = cs.generate_complaint_reply('taobao', 'quality', '为您换货或退款')

# 评价回复
reply = cs.generate_review_reply('taobao', 'negative', {'issue': '产品问题', 'solution': '为您处理'})

话术示例

咨询回复

客户:这个商品什么时候发货?

回复(淘宝):
亲,您好!这款商品预计24小时内发货,届时会有物流信息更新。
如有其他问题随时问我哦~

回复(京东):
尊敬的客户,该商品预计24小时内发货,届时您可查看物流信息。
如有其他问题请随时咨询。

回复(拼多多):
亲,这款大概24小时内发,发了会通知你的~
还有啥问题直接问哈~

差评回复

回复(淘宝):
亲,非常抱歉给您带来不好的体验。
关于您提到的问题,我们已经积极处理,希望能得到您的谅解。
如有其他问题随时联系我们~

回复(京东):
对于您的不满我们深表歉意。
针对您反馈的问题,我们已采取措施改进。
感谢您的宝贵意见。

回复(拼多多):
亲,真的不好意思让你有不好的体验。
我们已经处理了,希望能弥补~

Notes

  • 专注中国电商(淘宝/京东/拼多多)
  • 话术需符合平台规范
  • 支持中文话术生成
  • 高情商、专业、礼貌

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