Token导航 LogoToken导航

Agent Skill · 云服务

azure-pipelines(Azure pipelines 部署)

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 是云服务类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;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 68。

总安装 18,360周安装 765GitHub Stars 184,377下载 6,120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(Azure pipelines 部署)
来源仓库:https://github.com/microsoft/vscode
仓库路径:skills/azure-pipelines
安装命令:
npx skills add https://github.com/microsoft/vscode --skill azure-pipelines
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/microsoft/vscode --skill azure-pipelines

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。

帮助验证 Azure DevOps 流水线 YAML 文件的语法与逻辑正确性。适用于 CI/CD 流程调试、提交前本地校验和错误快速定位。优先使用 Azure CLI 本地模拟运行,再辅以官方文档核查复杂场景。需安装 Azure CLI 并登录有效订阅,确保具备目标资源的读写权限。

azure-pipelines 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

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/microsoft/vscode --skill azure-pipelines;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

    它需要执行命令,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 怎么安装?

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

azure-pipelines 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 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/microsoft/vscode --skill azure-pipelines 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

azure-pipelines 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 用的人多吗?

公开数据是累计安装 18,360 次,近一周安装 765 次,下载 6,120 次,GitHub 184,377 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 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。
  • 来源仓库有 184,377 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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

Azure pipelines 部署 · 本页

18,360184,377执行命令未明确通过

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

Validating Azure Pipeline Changes

When modifying Azure DevOps pipeline files (YAML files in build/azure-pipelines/), you can validate changes locally using the Azure CLI before committing. This avoids the slow feedback loop of pushing changes, waiting for CI, and checking results.

Prerequisites

  1. Check if Azure CLI is installed: az --version If not installed, install it: # macOS brew install azure-cli # Windows (PowerShell as Administrator) winget install Microsoft.AzureCLI # Linux (Debian/Ubuntu) curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
  2. Check if the DevOps extension is installed: az extension show --name azure-devops If not installed, add it: az extension add --name azure-devops
  3. Authenticate: az login az devops configure --defaults organization=https://dev.azure.com/monacotools project=Monaco

VS Code Main Build

The main VS Code build pipeline:

VS Code Insider Scheduled Builds

Two Insider builds run automatically on a scheduled basis:

  • Morning build: ~7:00 AM CET
  • Evening build: ~7:00 PM CET

These scheduled builds use the same pipeline definition (111) but run on the main branch to produce Insider releases.


Queueing a Build

Use the queue command to queue a validation build:

# Queue a build on the current branch
node .github/skills/azure-pipelines/azure-pipeline.ts queue

# Queue with a specific source branch
node .github/skills/azure-pipelines/azure-pipeline.ts queue --branch my-feature-branch

# Queue with custom parameters
node .github/skills/azure-pipelines/azure-pipeline.ts queue --parameter "VSCODE_BUILD_WEB=false" --parameter "VSCODE_PUBLISH=false"

# Parameter value with spaces
node .github/skills/azure-pipelines/azure-pipeline.ts queue --parameter "VSCODE_BUILD_TYPE=Product Build"
Important: Before queueing a new build, cancel any previous builds on the same branch that you no longer need. This frees up build agents and reduces resource waste: ``bash # Find the build ID from status, then cancel it node .github/skills/azure-pipelines/azure-pipeline.ts status node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id <id> node .github/skills/azure-pipelines/azure-pipeline.ts queue ``

Script Options

OptionDescription
--branch <name>Source branch to build (default: current git branch)
--definition <id>Pipeline definition ID (default: 111)
--parameter <entry>Pipeline parameter in KEY=value format (repeatable); use this when the value contains spaces
--parameters <list>Space-separated parameters in KEY=value KEY2=value2 format; values must not contain spaces
--dry-runPrint the command without executing

Product Build Queue Parameters (build/azure-pipelines/product-build.yml)

NameTypeDefaultAllowed ValuesDescription
VSCODE_QUALITYstringinsiderexploration, insider, stableBuild quality channel
VSCODE_BUILD_TYPEstringProduct BuildProduct, CIBuild mode for Product vs CI
NPM_REGISTRYstringhttps://pkgs.dev.azure.com/monacotools/Monaco/_packaging/vscode/npm/registry/any URLCustom npm registry
CARGO_REGISTRYstringsparse+https://pkgs.dev.azure.com/monacotools/Monaco/_packaging/vscode/Cargo/index/any URLCustom Cargo registry
VSCODE_BUILD_WIN32booleantruetrue, falseBuild Windows x64
VSCODE_BUILD_WIN32_ARM64booleantruetrue, falseBuild Windows arm64
VSCODE_BUILD_LINUXbooleantruetrue, falseBuild Linux x64
VSCODE_BUILD_LINUX_SNAPbooleantruetrue, falseBuild Linux x64 Snap
VSCODE_BUILD_LINUX_ARM64booleantruetrue, falseBuild Linux arm64
VSCODE_BUILD_LINUX_ARMHFbooleantruetrue, falseBuild Linux armhf
VSCODE_BUILD_ALPINEbooleantruetrue, falseBuild Alpine x64
VSCODE_BUILD_ALPINE_ARM64booleantruetrue, falseBuild Alpine arm64
VSCODE_BUILD_MACOSbooleantruetrue, falseBuild macOS x64
VSCODE_BUILD_MACOS_ARM64booleantruetrue, falseBuild macOS arm64
VSCODE_BUILD_MACOS_UNIVERSALbooleantruetrue, falseBuild macOS universal (requires both macOS arches)
VSCODE_BUILD_WEBbooleantruetrue, falseBuild Web artifacts
VSCODE_PUBLISHbooleantruetrue, falsePublish to builds.code.visualstudio.com
VSCODE_RELEASEbooleanfalsetrue, falseTrigger release flow if successful
VSCODE_STEP_ON_ITbooleanfalsetrue, falseSkip tests

Example: run a quick CI-oriented validation with minimal publish/release side effects:

node .github/skills/azure-pipelines/azure-pipeline.ts queue \
   --parameter "VSCODE_BUILD_TYPE=CI Build" \
   --parameter "VSCODE_PUBLISH=false" \
   --parameter "VSCODE_RELEASE=false"

Checking Build Status

Use the status command to monitor a running build:

# Get status of the most recent builds
node .github/skills/azure-pipelines/azure-pipeline.ts status

# Get overview of a specific build by ID
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id 123456

# Watch build status (refreshes every 30 seconds)
node .github/skills/azure-pipelines/azure-pipeline.ts status --watch

# Watch with custom interval (60 seconds)
node .github/skills/azure-pipelines/azure-pipeline.ts status --watch 60

Script Options

OptionDescription
--build-id <id>Specific build ID (default: most recent on current branch)
--branch <name>Filter builds by branch name (shows last 20 builds for branch)
--reason <reason>Filter builds by reason: manual, individualCI, batchedCI, schedule, pullRequest
--definition <id>Pipeline definition ID (default: 111)
--watch [seconds]Continuously poll status until build completes (default: 30s)
--download-log <id>Download a specific log to /tmp
--download-artifact <name>Download artifact to /tmp
--jsonOutput raw JSON for programmatic consumption

Cancelling a Build

Use the cancel command to stop a running build:

# Cancel a build by ID (use status command to find IDs)
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id 123456

# Dry run (show what would be cancelled)
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id 123456 --dry-run

Script Options

OptionDescription
--build-id <id>Build ID to cancel (required)
--definition <id>Pipeline definition ID (default: 111)
--dry-runPrint what would be cancelled without executing

Testing Pipeline Changes

When the user asks to test changes in an Azure Pipelines build, follow this workflow:

  1. Queue a new build on the current branch
  2. Poll for completion by periodically checking the build status until it finishes

Polling for Build Completion

Use a shell loop with sleep to poll the build status. The sleep command works on all major operating systems:

# Queue the build and note the build ID from output (e.g., 123456)
node .github/skills/azure-pipelines/azure-pipeline.ts queue

# Poll every 60 seconds until complete (works on macOS, Linux, and Windows with Git Bash/WSL)
# Replace <BUILD_ID> with the actual build ID from the queue command
while true; do
  node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id <BUILD_ID> --json 2>/dev/null | grep -q '"status": "completed"' && break
  sleep 60
done

# Check final result
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id <BUILD_ID>

Alternatively, use the built-in --watch flag which handles polling automatically:

node .github/skills/azure-pipelines/azure-pipeline.ts queue
# Use the build ID returned by the queue command
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id <BUILD_ID> --watch
Note: The --watch flag polls every 30 seconds by default. Use --watch 60 for a 60-second interval to reduce API calls.

Common Workflows

1. Quick Pipeline Validation

# Make your YAML changes, then:
git add -A && git commit -m "test: pipeline changes"
git push origin HEAD

# Check for any previous builds on this branch and cancel if needed
node .github/skills/azure-pipelines/azure-pipeline.ts status
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id <id>  # if there's an active build

# Queue and watch the new build
node .github/skills/azure-pipelines/azure-pipeline.ts queue
node .github/skills/azure-pipelines/azure-pipeline.ts status --watch

2. Investigate a Build

# Get overview of a build (shows stages, artifacts, and log IDs)
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id 123456

# Download a specific log for deeper inspection
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id 123456 --download-log 5

# Download an artifact
node .github/skills/azure-pipelines/azure-pipeline.ts status --build-id 123456 --download-artifact unsigned_vscode_cli_win32_x64_cli

3. Test with Modified Parameters

# Customize build matrix for quicker validation
node .github/skills/azure-pipelines/azure-pipeline.ts queue \
   --parameter "VSCODE_BUILD_TYPE=CI Build" \
   --parameter "VSCODE_BUILD_WEB=false" \
   --parameter "VSCODE_BUILD_ALPINE=false" \
   --parameter "VSCODE_BUILD_ALPINE_ARM64=false" \
   --parameter "VSCODE_PUBLISH=false"

4. Cancel a Running Build

# First, find the build ID
node .github/skills/azure-pipelines/azure-pipeline.ts status

# Cancel a specific build by ID
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id 123456

# Dry run to see what would be cancelled
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id 123456 --dry-run

5. Iterate on Pipeline Changes

When iterating on pipeline YAML changes, always cancel obsolete builds before queueing new ones:

# Push new changes
git add -A && git commit --amend --no-edit
git push --force-with-lease origin HEAD

# Find the outdated build ID and cancel it
node .github/skills/azure-pipelines/azure-pipeline.ts status
node .github/skills/azure-pipelines/azure-pipeline.ts cancel --build-id <id>

# Queue a fresh build and monitor
node .github/skills/azure-pipelines/azure-pipeline.ts queue
node .github/skills/azure-pipelines/azure-pipeline.ts status --watch

Troubleshooting

Authentication Issues

# Re-authenticate
az logout
az login

# Check current account
az account show

Extension Not Found

az extension add --name azure-devops --upgrade

Rate Limiting

If you hit rate limits, add delays between API calls or use --watch with a longer interval.

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

34.98%
按下载量换算2,141

Claude

29.67%
按下载量换算1,816

Cursor

16.64%
按下载量换算1,018

Gemini CLI

9.86%
按下载量换算603

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/microsoft/vscode --skill azure-pipelines 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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