Token导航 LogoToken导航

Agent Skill · 云服务

azure-pipelines-generator(Azure pipelines 生成器)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

azure-pipelines-generator 是云服务类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在云服务类的 479 个 Skill 里排第 95。

总安装 3,769周安装 151GitHub Stars 197下载 1,220核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-pipelines-generator(Azure pipelines 生成器)
来源仓库:https://github.com/akin-ozer/cc-devops-skills
仓库路径:skills/azure-pipelines-generator
安装命令:
npx skills add https://github.com/akin-ozer/cc-devops-skills --skill azure-pipelines-generator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/akin-ozer/cc-devops-skills --skill azure-pipelines-generator

这个 Skill 是做什么的

云服务类 Skill 对接各家云平台的接口,用来查询资源、估算成本和执行变更。

自动生成生产就绪的 Azure DevOps 流水线 YAML 配置文件。适用于多阶段部署、模板复用和跨仓库流水线标准化构建。根据用户描述自动识别触发条件、任务依赖和环境变量设置。生成后建议人工复核敏感信息,避免硬编码密钥或生产环境误配。

azure-pipelines-generator 属于云服务类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/azure-pipelines-generator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/akin-ozer/cc-devops-skills --skill azure-pipel…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

azure-pipelines-generator 怎么安装?

在终端执行 npx skills add https://github.com/akin-ozer/cc-devops-skills --skill azure-pipelines-gener…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

azure-pipelines-generator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

azure-pipelines-generator 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

azure-pipelines-generator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

azure-pipelines-generator 用的人多吗?

公开数据是累计安装 3,769 次,近一周安装 151 次,下载 1,220 次,GitHub 197 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

azure-pipelines-generator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理云服务类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

云服务类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
azure-deploy

Azure 部署 · Codex、Claude

6,641,856764调用外部服务未明确通过
azure-diagnostics

Azure diagnostics 问题管理 · Codex、Claude

6,575,520764调用外部服务未明确通过
azure-aigateway

Azure aigateway 部署 · Codex、Claude

6,553,272764调用外部服务未明确有提醒
azure-ai

Azure AI 搜索 · Codex、Claude

6,514,128764调用外部服务未明确通过
azure-cloud-migrate

Azure Cloud migrate 部署 · Codex、Claude

6,506,784764调用外部服务未明确有提醒
azure-pipelines-generator

Azure pipelines 生成器 · 本页

3,769197调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Azure Pipelines Generator

Generate production-ready Azure DevOps pipeline YAML with deterministic steps, explicit fallbacks, and clear completion criteria.

Trigger Guidance

Use this skill when the user asks to generate or redesign Azure Pipelines YAML, for example:

  • "Create azure-pipelines.yml for my Node service."
  • "Build a multi-stage Azure DevOps pipeline with staging and production."
  • "Generate Azure pipeline templates for reuse across repos."
  • "Convert this CI flow to Azure Pipelines."

Do not use this skill for validation-only requests. For validation-only work, use azure-pipelines-validator.

Execution Model

Normative keywords:

  • MUST: required
  • SHOULD: default unless user asks otherwise
  • MAY: optional

Deterministic sequence:

  1. Classify request mode.
  2. Capture minimum required inputs.
  3. Load minimum references (progressive disclosure).
  4. Generate YAML using the quality checklist.
  5. Validate (validator skill, script fallback, or manual fallback).
  6. Return output in the required report format.

If a step cannot run due to environment limits, use the fallback in that step and continue.

1) Classify Request Mode

Choose exactly one primary mode:

  • Basic CI: build/test/lint for one stack.
  • Multi-stage CI/CD: build -> test -> deploy with environment tracking.
  • Docker: image build/push and optional deploy.
  • Kubernetes: image build/push plus Kubernetes deployment.
  • Language-specific:.NET, Node.js, Python, Go, Java focused.
  • Template-based: reusable templates plus thin root pipeline.
  • Snippet-only: partial YAML requested, not full pipeline.

Mode-to-example mapping:

  • Basic CI -> examples/basic-ci.yml
  • Multi-stage CI/CD -> examples/multi-stage-cicd.yml
  • .NET -> examples/dotnet-cicd.yml
  • Python -> examples/python-cicd.yml
  • Go -> examples/go-cicd.yml
  • Kubernetes -> examples/kubernetes-deploy.yml
  • Template-based -> examples/template-usage.yml + examples/templates/*.yml

2) Capture Required Inputs

Collect these before generation:

  • App stack and package manager
  • Build/test commands and report expectations
  • Deployment target (none, Azure service, Docker registry, Kubernetes)
  • Environment flow (dev/staging/prod) and branch gates
  • Service connections, variable groups, secret handling
  • Template requirement (yes/no)

Safe defaults when missing:

  • CI branches: main, develop
  • Production deploy branch: main only
  • Agent image: pinned image (for example ubuntu-22.04)
  • Deploy image tag: immutable ($(Build.BuildId)), never deploy latest

If key details are missing, state assumptions explicitly in final output.

3) Load References (Progressive Disclosure)

Read local references first.

Always read:

  • docs/yaml-schema.md
  • docs/best-practices.md

Read conditionally:

  • docs/tasks-reference.md when selecting tasks/inputs
  • docs/templates-guide.md only for template-based mode

Then read only the closest example(s) from the mode mapping above.

Fallback behavior for missing references:

  • Missing example: use nearest mode example and note substitution.
  • Missing doc section: continue with known conventions and mark uncertainty.
  • Snippet-only request: read only the minimum needed for safe output.

The final response MUST include:

  • References used
  • References skipped or missing
  • Impact

4) External Docs Escalation (Only When Needed)

Escalate beyond local docs only when:

  • required task info is not in local docs
  • task version compatibility is unclear
  • troubleshooting a task-specific failure

Use this order:

  1. Context7 (mcp__context7__resolve-library-id -> mcp__context7__query-docs)
  2. Official docs search (Microsoft Learn first)

If network/tools are unavailable, proceed with best-known local guidance and add a residual-risk note.

5) Pipeline Generation Checklist

Apply all items below unless user asks for a narrow snippet.

Security:

  • Never hardcode secrets.
  • Use service connections and variable groups/secrets.
  • Use immutable deploy image tags.

Versioning:

  • Pin vmImage to explicit version, not *-latest.
  • Pin task major versions (Task@N).
  • @0 is allowed only when that task uses major 0.

Reliability:

  • Use explicit dependsOn.
  • Add timeoutInMinutes for long-running jobs.
  • Use branch-gated deployment condition rules.
  • Use deployment jobs with environment for deploy stages.

Performance:

  • Use Cache@2 where it improves dependency install time.
  • Use shallow checkout when full history is not required.
  • Publish only required artifacts.

Testing/observability:

  • Run lint/tests in CI.
  • Publish test results with condition: succeededOrFailed().
  • Publish coverage when available.

Maintainability:

  • Add displayName for stages/jobs/key steps.
  • Use templates when logic repeats.
  • Add short comments only for non-obvious logic.

6) Validation Workflow

Default path (MUST for full pipeline generation):

  1. Generate or update YAML.
  2. Validate with azure-pipelines-validator.
  3. Fix findings.
  4. Re-run validation until no blocking issues remain.

Script fallback if validator skill is unavailable but local validator scripts exist:

bash devops-skills-plugin/skills/azure-pipelines-validator/scripts/validate_azure_pipelines.sh <pipeline-file>

Manual fallback when neither skill nor script can run:

  1. YAML structure/indentation sanity
  2. Hierarchy sanity (stages -> jobs -> steps)
  3. Task format sanity (Task@Major)
  4. Secret exposure scan (no plaintext credentials/tokens)
  5. Deployment safety scan (environment usage, immutable deploy tags)

When fallback is used, final response MUST include:

  • Validation status: Manual fallback
  • Checks performed
  • Residual risk

Validation MAY be skipped only for:

  • snippet-only YAML
  • documentation-only examples
  • explicit user request to skip validation

7) Output Contract

Final response MUST include:

  1. Pipeline YAML (or template set)
  2. Required setup:

- service connections - variable groups/secrets - environments and approvals/checks

  1. Validation result:

- validator status, script status, or manual fallback status

  1. Assumptions
  2. References used/skipped and impact
  3. Optional next improvements

8) Canonical Example Flows

Example A: Full multi-stage generation

  1. Select mode: Multi-stage CI/CD.
  2. Capture stack/deploy/service-connection inputs.
  3. Read docs/yaml-schema.md, docs/best-practices.md, and examples/multi-stage-cicd.yml.
  4. Add requested customizations (stages, branch gates, environments, tasks).
  5. Validate with azure-pipelines-validator; fix and re-run.
  6. Return YAML + setup + validation + assumptions + references.

Example B: Quick snippet generation

  1. Select mode: Snippet-only.
  2. Read only the minimum required reference section.
  3. Generate focused YAML snippet with safe defaults.
  4. Skip full validation and state Validation status: Skipped (snippet-only).
  5. Return snippet + assumptions + references.

9) Definition of Done

The execution is complete only when all applicable checks pass:

  • Request mode is explicitly chosen.
  • Assumptions are explicit for missing inputs.
  • YAML follows checklist requirements (security, versioning, reliability, performance, maintainability).
  • Validation path is documented (validator, script fallback, or manual fallback).
  • Final response follows the output contract, including references and impact.

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

平台分布

Codex

34.53%
按下载量换算421

Claude

28.21%
按下载量换算344

Cursor

17.88%
按下载量换算218

Gemini CLI

9.51%
按下载量换算116

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills