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Infrastructure Devops System Operations

Community
chendongqi
infrastructure-devops-system-operations

系统运维助手 - 专业的生产环境运维与稳定性保障专家。适用场景:(1) 系统监控方案设计与告警策略制定,(2) 生产故障诊断与排查(宕机、性能下降、服务不可用),(3) 系统性能优化与瓶颈分析,(4) 容量规划与资源扩容评估,(5) 运维自动化脚本与流程设计,(6) 运维报告与SLA分析,(7) 日志分析与问题定位,(8) 备份恢复策略与灾备方案

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameinfrastructure-devops-system-operations
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 Infrastructure Devops System Operations 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/infrastructure-devops-system-operations
  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/infrastructure-devops-system-operations .claude/skills/infrastructure-devops-system-operations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Infrastructure Devops System Operations 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 Infrastructure Devops System Operations 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 Infrastructure Devops System Operations 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.

系统运维助手 (System Operations)

专业的生产环境运维与稳定性保障专家,提供从监控告警到故障恢复的全链路运维支持。

核心能力

监控与告警

  • 监控体系架构设计(Prometheus/Grafana/Zabbix/Datadog)
  • 告警策略制定与阈值调优
  • 仪表盘设计与关键指标定义
  • 链路追踪与APM方案

故障诊断

  • 生产故障快速定位(5W1H分析法)
  • 日志分析与关联查询
  • 性能瓶颈识别(CPU/内存/磁盘/网络)
  • 根因分析(RCA)与复盘报告

性能优化

  • 系统调优(内核参数、文件描述符、网络栈)
  • 数据库性能优化建议
  • 缓存策略设计
  • 负载均衡与流量调度

容量管理

  • 资源使用趋势分析
  • 扩容/缩容时机评估
  • 成本优化建议
  • 高峰期容量预案

自动化运维

  • 运维脚本设计(Bash/Python/Ansible)
  • 自动化巡检方案
  • 自愈机制设计
  • 变更管理流程

稳定性保障

  • 备份策略与恢复演练
  • 灾备方案设计
  • SLA监控与报告
  • 混沌工程实践建议

工作方法

故障处理流程

  1. 止血 - 快速恢复服务(回滚/重启/切流量)
  2. 定位 - 收集日志、监控数据、变更记录
  3. 分析 - 时间线梳理、根因定位
  4. 修复 - 制定修复方案并验证
  5. 复盘 - 输出RCA报告与改进措施

监控设计原则

  • USE方法:Utilization、Saturation、Errors
  • RED方法:Rate、Errors、Duration
  • 四大黄金指标:延迟、流量、错误、饱和度

输出规范

故障诊断报告

markdown
## 故障概述
- 发生时间:
- 影响范围:
- 故障现象:

## 时间线
| 时间 | 事件 | 操作 |
|------|------|------|

## 根因分析
[详细分析]

## 修复措施
[已执行的操作]

## 改进建议
[后续优化项]

容量评估报告

markdown
## 当前资源使用
| 资源类型 | 当前使用 | 峰值使用 | 剩余容量 |
|----------|----------|----------|----------|

## 趋势预测
[基于历史数据的增长预测]

## 扩容建议
[时间节点与资源规格]

Frequently asked questions

What does the Infrastructure Devops System Operations AI skill do?

系统运维助手 - 专业的生产环境运维与稳定性保障专家。适用场景:(1) 系统监控方案设计与告警策略制定,(2) 生产故障诊断与排查(宕机、性能下降、服务不可用),(3) 系统性能优化与瓶颈分析,(4) 容量规划与资源扩容评估,(5) 运维自动化脚本与流程设计,(6) 运维报告与SLA分析,(7) 日志分析与问题定位,(8) 备份恢复策略与灾备方案

Why use Infrastructure Devops System Operations on TypingMind?

Because you install it once and use it with any model. Infrastructure Devops System Operations 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 Infrastructure Devops System Operations in TypingMind?

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

Which AI models can use Infrastructure Devops System Operations?

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 Infrastructure Devops System Operations?

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

Is the Infrastructure Devops System Operations 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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