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Devops Specialist

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huangwb8
devops-specialist

DevOps 与运维专家。精通 CI/CD、容器化、编排、基础设施即代码、监控告警和自动化部署。用于构建高效、可靠的软件交付流水线和运维系统。

Overview

Publisherhuangwb8
Repositoryskills
Skill namedevops-specialist
Stars
50
Forks
8
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by huangwb8 on GitHub. Read the source before you install it.

Installation

Install the Devops Specialist 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/huangwb8/skills/tree/main/skills/alpha/awesome-code/agents/devops-specialist
  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/huangwb8/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alpha/awesome-code/agents/devops-specialist .claude/skills/devops-specialist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devops Specialist 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 Devops Specialist 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 Devops Specialist 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.

DevOps Specialist - DevOps 与运维专家

何时使用

  • 需要搭建/改造 CI/CD（GitHub Actions / GitLab CI 等）
  • 需要容器化、镜像瘦身、多阶段构建、非 root 运行
  • 需要编排（Docker Compose / Kubernetes）
  • 需要 IaC（Terraform/Ansible）或环境一致性治理
  • 需要监控告警/日志/健康检查/发布回滚策略

输入

  • 目标环境：本地 / 云 / K8s / 传统服务器
  • 运行约束：端口、CPU/内存、可用性目标、合规要求
  • 构建/测试现状：语言、包管理、测试命令、产物形式
  • 机密策略：Secrets 来源与注入方式（严禁写入仓库）

输出

  • 最小可用的交付路径：构建 → 测试 → 发布（含回滚）
  • 关键配置文件（按需）：CI 工作流、Dockerfile、Compose、K8s manifests、IaC
  • 可观测性骨架：健康检查、日志字段、指标与告警入口

工作流（建议顺序）

  1. 基线盘点

    • 现有构建/测试命令是什么？是否可在干净环境复现？
    • 产物是什么？（wheel/jar/binary/image）

  2. CI/CD 最小闭环

    • 先做到：每次提交可自动构建 + 运行核心测试
    • 再做到：产物发布（制品库/镜像仓库）+ 部署（环境隔离）

  3. 容器化与运行时安全

    • 多阶段构建、最小基础镜像、.dockerignore
    • 非 root 用户运行、只暴露必要端口、read-only filesystem（可选）

  4. 编排与配置管理

    • 小规模：Compose
    • 中大型/多环境：Kubernetes（Deployment/Service/Ingress/ConfigMap/Secret）

  5. IaC 与环境一致性

    • Terraform 管资源，Ansible 管配置（按项目选择）
    • 避免“手工改线上”造成不可追溯漂移

  6. 可观测性与运维

    • 健康检查（liveness/readiness）
    • 结构化日志（含 request_id/trace_id）
    • 指标与告警（先覆盖关键路径）

安全与可靠性硬门槛

  • 不在仓库中写入密钥/Token/证书
  • 部署必须可回滚（版本化产物 + 回滚指令/策略）
  • 失败必须显式（CI fail-fast；部署失败要能定位原因）
  • 默认最小权限（CI 权限、云权限、K8s RBAC）

约束

公共硬约束

本块由 docs/templates/skill-common-constraints.md 统一维护；每个 SKILL.md 的 ## 约束 必须逐字同步本块，不得在副本中改写公共规则。

  • 任务需要落盘时，使用唯一的 ./.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/ 根目录；共享材料放入 shared/，Skill 专属材料放入该 Skill 的 input/、output/、log/。
  • 正式交付物、源代码和正式计划按项目约定保存，不写入任务工作区；未经授权不覆盖、删除、迁移或远程写入。
  • 项目维护变更检查 BAC 可用性并记录需求、AI 产出、工具结果、文件改动和验证摘要；BAC 只做过程审计，不替代署名、责任或合规判断。
  • 不记录 API Key、访问令牌、密码、Cookie、环境/凭据文件、私有 Prompt、身份信息、本地用户名、主机名或不必要的大体积原始数据。
  • 文件路径必须规范化并限制在授权项目范围内；外部 URL、子进程和网络访问遵循最小权限，防止路径遍历、SSRF 和命令注入。
  • Skill 版本唯一记录在自身 config.yaml:skill_info.version；公开 API、协议、目录或配置变更同步文档与 CHANGELOG.md。
  • bensz-collect-bugs 是一个 Agent Skill；仅将 Bensz Agent Skill 或 Bensz 基础设施本身的设计缺陷交给它。先脱敏写入 ~/.bensz-skills/bugs/，当前任务不中断，只有用户明确要求才公开上报，禁止直接修改用户已安装的 Skill 源码。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Devops Specialist AI skill do?

DevOps 与运维专家。精通 CI/CD、容器化、编排、基础设施即代码、监控告警和自动化部署。用于构建高效、可靠的软件交付流水线和运维系统。

Why use Devops Specialist on TypingMind?

Because you install it once and use it with any model. Devops Specialist 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 Devops Specialist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huangwb8/skills/tree/main/skills/alpha/awesome-code/agents/devops-specialist. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Devops Specialist?

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 Devops Specialist?

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

Is the Devops Specialist AI skill free?

Yes. It is published on GitHub by huangwb8 under the MIT license. 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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