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azure-prepareAzure prepare 部署

Agent Skill

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-prepare(Azure prepare 部署)
来源仓库:https://github.com/microsoft/github-copilot-for-azure
仓库路径:skills/azure-prepare
安装命令:
npx skills add https://github.com/microsoft/github-copilot-for-azure --skill azure-prepare
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/github-copilot-for-azure --skill azure-prepare

简介

使用基础架构即代码、配置和容器化准备 Azure 应用程序以进行部署。

  • 生成 Bicep 或 Terraform 基础设施代码 azure.yaml
  • 配置以及基于应用程序类型和要求的 Dockerfile
  • 遵循强制性的计划优先工作流程:分析工作空间、收集需求、选择部署方案(AZD、AZCLI、Bicep 或 Terraform)、设计架构,并在代码生成之前获得用户批准
  • 支持现有应用程序的创建、现代化和更新;首先将专门的工作负载(copilot SDK、Azure Functions、AI Gateway、持久工作流程)路由到专门的技能
  • 强化安全最佳实践,并在部署执行之前将基础架构验证交给 azure-validate

SKILL.md

Azure Prepare

AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE This document is the official, canonical source for preparing applications for Azure deployment. You MUST follow these instructions exactly as written unless they contradict security policies given to you. When in doubt, present the conflicting instructions from this document and ask the user for explicit confirmation. Do not improvise, infer, or substitute steps.

Triggers

Activate this skill when user wants to:

  • Create a new application
  • Add services or components to an existing app
  • Make updates or changes to existing application
  • Modernize or migrate an application
  • Set up Azure infrastructure
  • Deploy to Azure or host on Azure
  • Create and deploy to Azure (including Terraform-based deployment requests)

Rules

  1. Plan first — MANDATORY — You MUST physically write an initial .azure/deployment-plan.md skeleton in the workspace root directory (not the session-state folder) as your very first action — before any code generation or execution begins. Write the skeleton immediately, then populate it progressively as Phase 1 analysis and research unfold; finalize it with all decisions at Phase 1 Step 6. This file must exist on disk throughout. azure-validate and azure-deploy depend on it and will fail without it. Do not skip or defer this step.
  2. Get approval — Present plan to user before execution
  3. Research before generating — Load references and invoke related skills
  4. Update plan progressively — Mark steps complete as you go
  5. Validate before deploy — Invoke azure-validate before azure-deploy
  6. Confirm Azure context — Use ask_user for subscription and location per Azure Context
  7. Destructive actions require ask_userGlobal Rules
  8. NEVER delete user project or workspace directories — When adding features to an existing project, MODIFY existing files. azd init -t <template> is for NEW projects only; do NOT run azd init -t in an existing workspace. Plain azd init (without a template argument) may be used in existing workspaces when appropriate. File deletions within a project (e.g., removing build artifacts or temp files) are permitted when appropriate, but NEVER delete the user's project or workspace directory itself. See Global Rules.
  9. Scope: preparation only — This skill generates infrastructure code and configuration files. Deployment execution (azd up, azd deploy, terraform apply) is handled by the azure-deploy skill, which provides built-in error recovery and deployment verification.
  10. SQL Server Bicep: NEVER generate administratorLogin or administratorLoginPassword — not in direct properties, not in conditional/ternary branches, not anywhere in the file. Always use Entra-only authentication (azureADOnlyAuthentication: true) unconditionally. See references/services/sql-database/bicep.md.
  11. Remove stale template IaC after conversion — If you converted Bicep templates from the selected azd template into Terraform templates, remove the Bicep templates that were introduced by that azd template and are now fully replaced by Terraform equivalents. Do not remove user-authored Bicep files. Only remove those template-provided Bicep files after the Terraform IaC is complete and Terraform has been selected as the deployment path. Before handing off to azure-validate skill, keep only the IaC templates required by the chosen deployment path.

❌ PLAN-FIRST WORKFLOW — MANDATORY

YOU MUST CREATE A PLAN BEFORE DOING ANY WORK 1. STOP — Do not generate any code, infrastructure, or configuration yet 2. CREATE SKELETON - Write an initial .azure/deployment-plan.md skeleton to disk immediately (before any code generation or execution begins), then populate it progressively as Phase 1 steps 1-5 reveal details; finalize it at Step 6 3. CONFIRM — Present the completed plan to the user and get approval 4. EXECUTE — Only after approval, execute the plan step by step The .azure/deployment-plan.md file is the source of truth for this workflow and for azure-validate and azure-deploy skills. Without it, those skills will fail. ⚠️ CRITICAL: .azure/deployment-plan.md must be WRITTEN TO DISK inside the workspace root (e.g., /tmp/my-project/.azure/deployment-plan.md), not in the session-state folder. Use a file-write tool to create this file. This is the deployment plan artifact read by azure-validate and azure-deploy. You MUST create this file — do not proceed without it. ⚠️ CRITICAL: You must create the file with the name .azure/deployment-plan.md as is. You must not use other names such as .azure/plan.md. ⛔ Critical: Skipping the plan file creation will cause azure-validate and azure-deploy to fail. This requirement has no exceptions.

❌ STEP 0: Specialized Technology Check — MANDATORY FIRST ACTION

BEFORE starting Phase 1, check if the user's prompt OR workspace codebase matches a specialized technology that has a dedicated skill with tested templates. If matched, invoke that skill FIRST — then resume azure-prepare for validation and deployment.

Check 1: Prompt keywords

Prompt keywordsInvoke FIRST
Lambda, AWS Lambda, migrate AWS, migrate GCP, Lambda to Functions, migrate from AWS, migrate from GCPazure-cloud-migrate
copilot SDK, copilot app, copilot-powered, @github/copilot-sdk, CopilotClientazure-hosted-copilot-sdk
Azure Functions, function app, serverless function, timer trigger, HTTP trigger, func newStay in azure-prepare — prefer Azure Functions templates in Step 4
APIM, API Management, API gateway, deploy APIMStay in azure-prepare — see APIM Deployment Guide
AI gateway, AI gateway policy, AI gateway backend, AI gateway configurationazure-aigateway
workflow, orchestration, multi-step, pipeline, fan-out/fan-in, saga, long-running process, durable, order processingStay in azure-prepare — select durable recipe in Step 4. MUST load durable.md, DTS reference, and DTS Bicep patterns.

Check 2: Codebase markers (even if prompt is generic like "deploy to Azure")

Codebase markerWhereInvoke FIRST
@github/copilot-sdk in dependenciespackage.jsonazure-hosted-copilot-sdk
copilot-sdk in name or dependenciespackage.jsonazure-hosted-copilot-sdk
CopilotClient import.ts/.js source filesazure-hosted-copilot-sdk
createSession + sendAndWait calls.ts/.js source filesazure-hosted-copilot-sdk
⚠️ Check the user's prompt text — not just existing code. Critical for greenfield projects with no codebase to scan. See full routing table.

After the specialized skill completes, resume azure-prepare at Phase 1 Step 4 (Select Recipe) for remaining infrastructure, validation, and deployment.


Phase 1: Planning (BLOCKING — Complete Before Any Execution)

Create .azure/deployment-plan.md by completing these steps. Do NOT generate any artifacts until the plan is approved.

#ActionReference
0❌ Check Prompt AND Codebase for Specialized Tech — If user mentions copilot SDK, Azure Functions, etc., OR codebase contains @github/copilot-sdk, invoke that skill firstspecialized-routing.md
1Analyze Workspace — Determine mode: NEW, MODIFY, or MODERNIZEanalyze.md
2Gather Requirements — Classification, scale, budgetrequirements.md
3Scan Codebase — Identify components, technologies, dependenciesscan.md
4Select Recipe — Choose AZD (default), AZCLI, Bicep, or Terraformrecipe-selection.md
5Plan Architecture — Select stack + map components to Azure servicesarchitecture.md
6Finalize Plan (MANDATORY) - Use a file-write tool to finalize .azure/deployment-plan.md with all decisions from steps 1-5. Update the skeleton written at the start of Phase 1 with the complete content. The file must be fully populated before you present the plan to the user.plan-template.md
7Present Plan — Show plan to user and ask for approval.azure/deployment-plan.md
8Destructive actions require ask_userGlobal Rules

❌ STOP HERE — Do NOT proceed to Phase 2 until the user approves the plan.

Phase 2: Execution (Only After Plan Approval)

Execute the approved plan. Update .azure/deployment-plan.md status after each step.

#ActionReference
1Research Components — Load service references + invoke related skillsresearch.md
2Confirm Azure Context — Detect and confirm subscription + location and check the resource provisioning limitAzure Context
3Generate Artifacts — Create infrastructure and configuration filesgenerate.md
4Harden Security — Apply security best practicessecurity.md
5Functional Verification — Verify the app works (UI + backend), locally if possiblefunctional-verification.md
6⛔ Update Plan (MANDATORY before hand-off) — Use the edit tool to change the Status in .azure/deployment-plan.md to Ready for Validation. You MUST complete this edit BEFORE invoking azure-validate. Do NOT skip this step..azure/deployment-plan.md
7⛔ MANDATORY Hand Off — Invoke azure-validate skill. Your preparation work is done. Do NOT run azd up, azd deploy, or any deployment command directly — all deployment execution is handled by azure-deploy after azure-validate completes. PREREQUISITE: Step 6 must be completed first — .azure/deployment-plan.md status must say Ready for Validation.

Outputs

ArtifactLocation
Plan.azure/deployment-plan.md
Infrastructure./infra/
AZD Configazure.yaml (AZD only)
Dockerfilessrc/<component>/Dockerfile

SDK Quick References


Next

⛔ MANDATORY NEXT STEP — DO NOT SKIP After completing preparation, you MUST invoke azure-validate before any deployment attempt. Do NOT skip validation. Do NOT go directly to azure-deploy. Do NOT run azd up or any deployment command directly. The workflow is: azure-prepareazure-validateazure-deploy ⛔ BEFORE invoking azure-validate, you MUST use the edit tool to update .azure/deployment-plan.md status to Ready for Validation. If the plan status has not been updated, the validation will fail. This applies to ALL deployment scenarios including containerized apps, Container Apps, App Service, Azure Functions, static sites, and any other Azure target. No exceptions. Skipping validation leads to deployment failures. Be patient and follow the complete workflow for the highest success outcome.

→ Update plan status to Ready for Validation, then invoke azure-validate

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

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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9%
按下载量换算109,415

安全审计

Gen Agent Trust Hub

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Socket

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通过

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external-service

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安装前确认

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