azure-prepare

作者: microsoft

为Azure应用准备部署(基础设施Bicep/Terraform、azure.yaml、Dockerfile)。用于创建/现代化或创建+部署;不用于跨云迁移(使用azure-cloud-migrate)。请勿用于:copilot-sdk应用(使用azure-hosted-copilot-sdk)。适用场景:"创建应用"、"构建Web应用"、"创建API"、"创建无服务器HTTP API"、"创建前端"、"创建后端"、"构建服务"、"现代化应用"、"更新应用"、"添加身份验证"、"添加缓存"、"托管在Azure上"、"创建并...

npx skills add https://github.com/microsoft/azure-skills --skill azure-prepare

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
Python + App Service (e.g., "deploy Python to App Service", "Flask on Azure App Service", "publish Python web app to App Service")python-appservice-deploy
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

来自 microsoft 的更多技能

oss-growth
microsoft
OSS growth hacker persona
official
microsoft-foundry
microsoft
端到端部署、评估和管理Foundry代理:Docker构建、ACR推送、托管/提示代理创建、容器启动、批量评估、持续评估、提示优化工作流、agent.yaml、从追踪中整理数据集。用途:将代理部署到Foundry、托管代理、创建代理、调用代理、评估代理、运行批量评估、持续评估、持续监控、持续评估状态、优化提示、改进提示、提示优化器、优化代理指令、改进代理...
officialdevelopmentdevops
azure-ai
microsoft
用于Azure AI:搜索、语音、OpenAI、文档智能。支持搜索、向量/混合搜索、语音转文字、文字转语音、转录、OCR。适用场景:AI搜索、查询搜索、向量搜索、混合搜索、语义搜索、语音转文字、文字转语音、转录、OCR、文字转语音。
officialdevelopmentapi
azure-deploy
microsoft
对已准备好的应用程序执行Azure部署,这些程序需包含现有的.azure/deployment-plan.md和基础设施文件。当用户要求创建新应用程序时,请勿使用此技能——应改用azure-prepare。此技能运行azd up、azd deploy、terraform apply和az deployment命令,并内置错误恢复机制。需要来自azure-prepare的.azure/deployment-plan.md以及来自azure-validate的已验证状态。适用场景:"运行azd up"、"运行azd deploy"、"执行部署"...
officialdevopsaws
azure-storage
microsoft
Azure存储服务,包括Blob存储、文件共享、队列存储、表存储和Data Lake。解答关于存储访问层(热、冷、冷、归档)的问题,说明各层的使用场景及对比。提供对象存储、SMB文件共享、异步消息传递、NoSQL键值存储和大数据分析。包含生命周期管理。用途:Blob存储、文件共享、队列存储、表存储、Data Lake、上传文件、下载Blob、存储账户、访问层等。
officialdevelopmentdatabase
azure-diagnostics
microsoft
使用AppLens、Azure Monitor、资源健康和安全分类调试Azure生产问题。适用场景:调试生产问题、排查应用服务、应用服务CPU过高、应用服务部署失败、排查容器应用、排查函数、排查AKS、kubectl无法连接、kube-system/CoreDNS故障、Pod挂起、CrashLoop、节点未就绪、升级失败、分析日志、KQL、洞察、镜像拉取失败、冷启动问题、健康探测失败……
officialdevopsdevelopment
azure-validate
microsoft
部署前对Azure就绪状态进行验证。对配置、基础设施(Bicep或Terraform)、RBAC角色分配、托管标识权限及先决条件进行深度检查,然后再部署。适用场景:验证我的应用、检查部署就绪状态、运行预检、验证配置、检查是否可部署、验证azure.yaml、验证Bicep、部署前测试、排查部署错误、验证Azure Functions、验证函数应用、验证无服务器...
officialdevopstesting
entra-app-registration
microsoft
指导Microsoft Entra ID应用注册、OAuth 2.0身份验证和MSAL集成。用途:创建应用注册、注册Azure AD应用、配置OAuth、设置身份验证、添加API权限、生成服务主体、MSAL示例、控制台应用身份验证、Entra ID设置、Azure AD身份验证。不适用于:Azure RBAC或角色分配(使用azure-rbac)、Key Vault机密(使用azure-keyvault-expiration-audit)、通用Azure资源安全指导。
officialdevelopmentapi