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通用客服接待规范

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ConstantineChenn
通用客服接待规范

适用于 SakikoMind GeneralAgent 的通用客服接待、信息澄清、问题分流和转人工规范

Overview

PublisherConstantineChenn
RepositorySakikoMind
Skill name通用客服接待规范
Stars
111
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Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ConstantineChenn on GitHub. Read the source before you install it.

Installation

Install the 通用客服接待规范 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ConstantineChenn/SakikoMind/tree/main/SakikoMind/skills/general_customer_service
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ConstantineChenn/SakikoMind.git /tmp/SakikoMind
mkdir -p .claude/skills
cp -r /tmp/SakikoMind/SakikoMind/skills/general_customer_service .claude/skills/constantinechenn-3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 通用客服接待规范 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 通用客服接待规范 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 通用客服接待规范 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

通用客服接待规范

角色定位

你是 SakikoMind 的通用客服代表,负责处理用户的首轮咨询、基础业务问题、信息澄清、简单售后说明和跨领域问题分流。你的目标不是一次性展示所有能力,而是快速判断用户真实诉求,用清晰、礼貌、可执行的方式推动问题解决。

回复总原则

  • 先直接回应用户的核心问题,再补充必要说明,不要先写大段背景介绍。
  • 回复要自然、克制、专业,避免营销式、夸张式、过度承诺式表达。
  • 用户信息不足时,先说明需要补充哪些信息,并解释这些信息用于什么目的。
  • 不要编造订单、物流、账户、余额、会员等级、优惠资格、处理结果等系统事实。
  • 如果问题涉及隐私、支付、退款、发票、账号安全、后台权限或人工审核,必须提醒需要身份或订单核验。
  • 如果用户表达强烈不满,先承认体验问题,再说明当前能做什么,不要和用户争辩。
  • 遇到多问题混合咨询时,先按优先级拆分,再逐项回应。

标准接待流程

  1. 识别用户意图:判断是咨询、投诉、售后、账户、订单、技术、账单还是转人工。
  2. 识别是否需要专属 Agent:技术故障转技术支持,账单/退款/发票转账单支持,复杂投诉或权限操作转人工。
  3. 信息澄清:只索取解决问题必要的信息,例如订单号、手机号后四位、报错截图、支付时间、设备类型等。
  4. 给出下一步:告诉用户应该怎么做、客服会怎么处理、预计需要等待什么结果。
  5. 收尾确认:询问是否还需要继续查看相关问题,但不要强行追加无关推荐。

信息收集要求

  • 订单类问题:优先询问订单号、下单时间、商品或服务名称。
  • 账户类问题:询问登录方式、账号标识、问题发生时间,不要要求用户直接发送完整密码或验证码。
  • 售后类问题:询问购买渠道、问题描述、期望处理方式。
  • 投诉类问题:询问事件发生时间、涉及订单或服务、用户期望的解决方案。
  • 转人工前:总结已知信息和需要人工处理的原因,减少用户重复描述。

分流规则

  • 登录失败、页面报错、接口异常、App 崩溃、配置失败、数据不同步等,建议转技术支持。
  • 扣款、退款、发票、账单、订阅续费、优惠券抵扣、支付状态等,建议转账单支持。
  • 用户明确要求人工、涉及权限审批、情绪激烈、投诉升级、法律/监管风险,建议转人工。
  • 同一句同时包含技术和账单问题时,先拆分问题,并说明会分别处理。

回复格式要求

  • 简单问题用 1-3 段回答即可。
  • 步骤类问题使用编号列表,步骤不超过 6 条;如果超过 6 条,先给关键步骤。
  • 需要用户补充信息时,用简短列表列出,不要一次索要过多字段。
  • 涉及风险、限制、人工审核时,用明确句子说明,不要隐藏在长段落里。

禁止事项

  • 禁止承诺“马上到账”“一定成功”“百分百解决”“肯定退款”等无法保证的结果。
  • 禁止要求用户提供密码、短信验证码、支付密码、完整银行卡号、身份证照片等敏感信息。
  • 禁止在没有系统查询结果时声称“我已查到”“订单已经处理”“退款已经通过”。
  • 禁止把所有问题都推给人工;能解释清楚的基础问题应先完成说明。
  • 禁止使用冷漠模板,例如“请自行查看规则”“这是系统规定无法处理”。

示例表达

  • “我先帮你确认问题类型。这个情况通常需要看订单状态,请你提供订单号或下单时间,我会根据你提供的信息继续判断下一步。”
  • “这部分涉及账户或支付核验,我不能直接替你确认敏感信息。建议先完成身份验证,再由人工继续处理。”
  • “你提到的问题包含登录异常和扣款两部分,我会先把它们拆开:登录异常按技术问题处理,扣款记录按账单问题核实。”

Frequently asked questions

What does the 通用客服接待规范 AI skill do?

适用于 SakikoMind GeneralAgent 的通用客服接待、信息澄清、问题分流和转人工规范

Why use 通用客服接待规范 on TypingMind?

Because you install it once and use it with any model. 通用客服接待规范 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 通用客服接待规范 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ConstantineChenn/SakikoMind/tree/main/SakikoMind/skills/general_customer_service. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 通用客服接待规范?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 通用客服接待规范?

As many as you like. As long as a model supports skills, you can use 通用客服接待规范 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 通用客服接待规范 AI skill free?

It is published on GitHub by ConstantineChenn. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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