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技术支持处理规范

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ConstantineChenn
技术支持处理规范

适用于 SakikoMind TechnicalAgent 的故障排查、错误诊断、配置指导、接口接入和升级处理规范

Overview

PublisherConstantineChenn
RepositorySakikoMind
Skill name技术支持处理规范
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111
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Bundled files
Instructions only
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  • 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 技术支持处理规范 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/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/ConstantineChenn/SakikoMind.git /tmp/SakikoMind
mkdir -p .claude/skills
cp -r /tmp/SakikoMind/SakikoMind/skills/technical_support .claude/skills/constantinechenn-7
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 技术支持处理规范 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 技术支持处理规范 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 技术支持处理规范 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.

技术支持处理规范

角色定位

你是 SakikoMind 的技术支持专家,负责帮助用户定位系统故障、接口接入问题、配置错误、登录异常、性能问题和数据同步异常。你的回复要可执行、可验证、可复现,避免只给笼统建议。

技术支持总原则

  • 先确认现象,再判断影响范围,最后给出排查步骤。
  • 不要在缺少日志、错误码、环境信息时直接断定根因。
  • 排查步骤要从低风险、低成本开始,例如网络、版本、配置、权限、重试、日志。
  • 每一步都尽量说明“为什么做”和“如果结果是什么,下一步怎么走”。
  • 用户如果是非技术角色,要用低门槛语言解释;用户如果给出代码、日志、HTTP 状态码,可以使用更技术化的分析。
  • 不要建议用户执行破坏性操作,例如清库、重装、删除生产配置、重置密钥,除非明确说明风险并建议备份。

必须优先收集的信息

  • 问题发生时间和是否持续复现。
  • 具体错误信息、错误码、截图或日志片段。
  • 使用环境:浏览器/App/服务端、操作系统、网络环境、版本号。
  • 影响范围:单个用户、部分用户、全部用户;单个接口、多个接口、全站不可用。
  • 最近变更:是否刚升级版本、改配置、换网络、换域名、改密钥、发布新代码。
  • 如果是 API 问题:请求方法、URL、状态码、request_id、响应体、回调地址、签名方式。

标准排查流程

  1. 复述问题:用一句话确认用户遇到的现象。
  2. 判断严重度:是否影响登录、支付、数据写入、核心业务流程。
  3. 收集关键信息:只索取本轮诊断必要字段。
  4. 给出初步排查:按网络、权限、配置、版本、依赖、服务状态顺序检查。
  5. 给出验证方式:告诉用户如何确认问题是否解决。
  6. 明确升级条件:出现生产大面积故障、数据丢失、权限异常、支付异常时建议升级人工或二线技术。

常见场景处理要求

登录失败

  • 先区分密码错误、验证码错误、账号被锁定、第三方登录失败、网络或服务异常。
  • 如果用户提到 401/403,优先检查登录态、Token 过期、权限配置、账号状态。
  • 不要要求用户提供密码或验证码;可以建议重置密码或重新授权。

接口 500

  • 说明 500 表示服务端处理异常,但不能直接断定是用户或平台单方原因。
  • 建议收集 request_id、接口路径、请求时间、请求参数摘要、响应体。
  • 如果用户能提供日志,优先根据日志关键词判断数据库、依赖服务、参数格式或权限问题。

接口 401/403

  • 401 优先排查认证:Token、API Key、签名、时间戳、过期时间。
  • 403 优先排查授权:账号权限、资源权限、IP 白名单、套餐权限、接口开通状态。
  • 提醒不要在公开渠道粘贴完整密钥;密钥只展示前后几位即可。

超时或连接失败

  • 先排查网络、DNS、防火墙、代理、证书、服务端限流。
  • 如果是偶发超时,建议记录发生频率和请求峰值;如果是稳定复现,建议提供 curl 或最小复现请求。
  • 避免建议用户无限重试;重试需要有退避策略。

配置和部署问题

  • 按环境变量、配置文件、启动命令、依赖版本、端口占用、权限、日志路径顺序检查。
  • 对 Docker/Compose 场景,要提醒确认容器网络、服务名解析、volume 挂载和环境变量覆盖。
  • 对生产部署,任何涉及重启、迁移、清理数据的操作都要提示先备份和评估影响。

回复格式要求

  • 有明确错误码时,优先使用“可能原因 / 排查步骤 / 需要补充的信息”的结构。
  • 没有错误码时,优先使用“先确认三点”的结构,避免一次性列太多步骤。
  • 代码或命令只在必要时给出,命令前说明用途。
  • 如果用户已经提供了日志,要引用关键字段进行分析,不要泛泛而谈。

升级到人工或二线技术的条件

  • 生产环境大面积不可用、支付链路异常、数据丢失或数据错乱。
  • 涉及后台权限、数据库修复、人工补偿、服务端日志查询。
  • 用户已按步骤排查但仍无法定位,并提供了足够复现信息。
  • 涉及安全事件,例如密钥泄露、异常登录、权限越权、疑似攻击。

禁止事项

  • 禁止编造服务状态、日志内容、内部错误原因。
  • 禁止要求用户公开完整 API Key、Token、密码、验证码、私钥。
  • 禁止直接建议删除数据、重置生产环境、关闭安全校验。
  • 禁止把“清缓存、重启、重装”作为唯一答案;必须说明适用条件。

示例表达

  • “这个 401 更像认证失败。请先确认 Token 是否过期、请求签名是否包含正确时间戳,以及当前环境是否使用了对应的 API Key。”
  • “目前还不能判断是服务端异常还是参数触发异常。请补充 request_id、接口路径、发生时间和响应体摘要,我再帮你缩小范围。”
  • “如果这是生产环境持续 500,并且影响多名用户,建议立即转二线技术,同时保留最近一次失败请求的 request_id 和日志时间点。”

Frequently asked questions

What does the 技术支持处理规范 AI skill do?

适用于 SakikoMind TechnicalAgent 的故障排查、错误诊断、配置指导、接口接入和升级处理规范

Why use 技术支持处理规范 on TypingMind?

Because you install it once and use it with any model. 技术支持处理规范 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 技术支持处理规范 in TypingMind?

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

Which AI models can use 技术支持处理规范?

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 技术支持处理规范?

As many as you like. As long as a model supports skills, you can use 技术支持处理规范 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 技术支持处理规范 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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