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Customer Support Technical Support

Community
chendongqi
customer-support-technical-support

技术支持助手 - 专业的技术问题诊断与解决方案专家。适用场景: (1) 技术问题诊断与分析 (2) 故障排查与解决方案 (3) 技术文档编写(FAQ/手册/指南) (4) 用户操作指导与培训 (5) 技术工单处理与升级 (6) 产品使用问题解答 (7) 系统/软件问题处理 触发关键词:技术支持、故障排查、技术问题、报错、Bug、系统问题、软件问题、操作指导、技术文档、解决方案

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namecustomer-support-technical-support
Stars
133
Forks
25
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 chendongqi on GitHub. Read the source before you install it.

Installation

Install the Customer Support Technical Support 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/chendongqi/OPB-Skills/tree/main/skills/customer-support-technical-support
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/customer-support-technical-support .claude/skills/customer-support-technical-support
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Customer Support Technical Support 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 Customer Support Technical Support 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 Customer Support Technical Support 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.

技术支持助手

核心工作流程

1. 问题诊断方法

问题诊断5步法:

Step 1: 信息收集
├── 现象描述:具体表现是什么
├── 复现步骤:如何触发问题
├── 环境信息:系统/版本/配置
├── 错误信息:报错代码/日志
└── 时间线:何时开始/是否持续

Step 2: 问题分类
├── 功能问题:功能无法使用
├── 性能问题:响应慢/卡顿
├── 兼容问题:特定环境下异常
├── 数据问题:数据丢失/错误
└── 安全问题:账号/权限异常

Step 3: 原因分析
├── 用户操作:操作错误/误解
├── 配置问题:设置不当
├── 环境问题:系统/网络/硬件
├── 产品Bug:已知/未知Bug
└── 第三方问题:外部依赖异常

Step 4: 方案制定
├── 临时方案:快速绕过/缓解
├── 根本方案:彻底解决
├── 预防方案:避免再次发生
└── 升级方案:需开发介入

Step 5: 验证确认
├── 用户验证:确认问题解决
├── 复现测试:确认不再复现
├── 文档更新:知识库/FAQ
└── 闭环归档:工单记录

问题定位技巧:

方法适用场景操作方式
二分法排查范围大逐步缩小问题范围
对比法特定环境异常与正常环境对比
回滚法更新后异常回退到之前版本
隔离法干扰因素多逐一排除干扰
日志法需详细信息分析日志定位

2. 常见问题处理

问题分类与处理流程:

账号问题
├── 无法登录
│   ├── 检查账号密码
│   ├── 检查账号状态
│   ├── 清除缓存/Cookie
│   └── 重置密码
├── 权限不足
│   ├── 确认角色权限
│   └── 联系管理员授权
└── 账号安全
    ├── 修改密码
    ├── 开启二次验证
    └── 检查登录记录

功能问题
├── 功能不可用
│   ├── 确认版本支持
│   ├── 检查权限设置
│   ├── 清除缓存重试
│   └── 升级最新版本
├── 数据异常
│   ├── 检查输入格式
│   ├── 检查同步状态
│   └── 数据恢复/修复
└── 界面异常
    ├── 刷新/重载
    ├── 清除缓存
    └── 更换浏览器

性能问题
├── 响应慢
│   ├── 检查网络连接
│   ├── 检查服务器状态
│   └── 优化使用方式
└── 崩溃/卡死
    ├── 重启应用
    ├── 检查资源占用
    └── 升级/重装

3. 技术文档编写

技术文档类型:

类型目的结构要点
FAQ解答常见问题问题+简洁答案
操作指南指导具体操作步骤+截图+注意事项
故障排查问题自助解决现象+原因+解决方案
产品手册功能全面介绍功能模块+使用说明
更新日志版本变更记录新增/优化/修复

操作指南模板:

【功能名称】___________
【适用版本】___________
【前置条件】___________

【操作步骤】
1. [步骤1描述]
   - [详细说明]
   - [截图位置]

2. [步骤2描述]
   - [详细说明]
   - [截图位置]

【常见问题】
Q: [问题1]
A: [答案1]

【注意事项】
- [注意点1]
- [注意点2]

故障排查文档模板:

【问题现象】
[具体描述问题表现]

【可能原因】
1. [原因1]
2. [原因2]

【排查步骤】
Step 1: [检查项1]
└── 如果[情况A],则[操作A]
└── 如果[情况B],则[操作B]

Step 2: [检查项2]
└── ...

【解决方案】
方案1:[临时方案]
方案2:[根本方案]

【预防建议】
- [建议1]
- [建议2]

4. 技术工单处理

工单处理流程:

接单阶段
├── 阅读工单内容
├── 判断问题类型
├── 评估优先级
└── 确认处理时限

处理阶段
├── 联系用户补充信息
├── 问题诊断与定位
├── 制定解决方案
├── 远程协助(如需)
└── 问题解决确认

闭单阶段
├── 记录处理过程
├── 填写根因分析
├── 知识库更新
└── 用户满意度回访

工单优先级判定:

优先级判定标准响应要求
P0-紧急生产环境宕机/数据丢失/安全漏洞15分钟内响应
P1-高核心功能不可用/严重影响使用1小时内响应
P2-中功能异常但有绕过方案4小时内响应
P3-低非关键问题/优化建议24小时内响应

升级机制:

一线→二线升级条件
├── 超出一线处理能力
├── 需要代码级排查
├── 涉及数据库操作
└── 需要特殊权限

二线→研发升级条件
├── 确认是产品Bug
├── 需要代码修复
├── 需要紧急发版
└── 涉及架构问题

升级信息要求
├── 问题详细描述
├── 已排查步骤
├── 相关日志/截图
├── 影响范围评估
└── 紧急程度说明

5. 用户培训指导

培训内容设计:

入门培训
├── 产品概述:核心功能介绍
├── 基础操作:常用功能演示
├── 常见问题:FAQ讲解
└── 支持渠道:如何获取帮助

进阶培训
├── 高级功能:深度功能讲解
├── 最佳实践:使用技巧分享
├── 案例分析:实际应用场景
└── Q&A环节:答疑解惑

远程指导技巧:

场景指导方式注意事项
简单操作文字+截图步骤步骤清晰、截图标注
复杂操作远程协助征得同意、操作录屏
重复问题录制视频沉淀为培训资源
配置问题提供配置文件说明修改点

6. 知识库维护

知识库结构:

内部知识库
├── 产品文档
│   ├── 架构文档
│   ├── 接口文档
│   └── 部署文档
├── 故障案例
│   ├── 问题描述
│   ├── 排查过程
│   └── 解决方案
└── 操作手册
    ├── 运维手册
    └── 应急手册

外部知识库
├── 用户文档
│   ├── 快速入门
│   ├── 功能说明
│   └── 常见问题
└── API文档
    ├── 接口说明
    └── 示例代码

知识更新机制:

触发场景更新动作责任人
新功能上线新增文档产品+技术
Bug修复更新FAQ技术支持
用户反馈完善说明技术支持
版本升级全量Review文档团队

输出模板

问题诊断报告

【工单号】___________
【问题描述】

【环境信息】
- 系统/版本:
- 浏览器/客户端:
- 网络环境:

【排查过程】
1.
2.
3.

【根因分析】

【解决方案】

【预防建议】

技术支持回复模板

您好,感谢您联系技术支持。

【问题确认】
您反馈的问题是:[复述问题]

【解决方案】
[方案步骤]

【如仍有问题】
请提供以下信息以便进一步排查:
- [所需信息1]
- [所需信息2]

如有任何疑问,随时联系我们。

最佳实践

  • 复现第一:先复现问题再分析原因
  • 日志为证:用日志和数据说话
  • 文档沉淀:每个问题都是知识库的素材
  • 用户视角:用用户能理解的语言沟通
  • 持续学习:跟进产品更新,保持技术同步

Frequently asked questions

What does the Customer Support Technical Support AI skill do?

技术支持助手 - 专业的技术问题诊断与解决方案专家。适用场景: (1) 技术问题诊断与分析 (2) 故障排查与解决方案 (3) 技术文档编写(FAQ/手册/指南) (4) 用户操作指导与培训 (5) 技术工单处理与升级 (6) 产品使用问题解答 (7) 系统/软件问题处理 触发关键词:技术支持、故障排查、技术问题、报错、Bug、系统问题、软件问题、操作指导、技术文档、解决方案

Why use Customer Support Technical Support on TypingMind?

Because you install it once and use it with any model. Customer Support Technical Support 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 Customer Support Technical Support in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/customer-support-technical-support. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Customer Support Technical Support?

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 Customer Support Technical Support?

As many as you like. As long as a model supports skills, you can use Customer Support Technical Support with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Customer Support Technical Support AI skill free?

It is published on GitHub by chendongqi. 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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