azure-deployment-preflight

作者: github

對 Bicep 部署至 Azure 進行全面的預檢驗證,包括範本語法驗證、假設分析以及權限檢查。使用…

npx skills add https://github.com/github/awesome-copilot --skill azure-deployment-preflight

Azure Deployment Preflight Validation

This skill validates Bicep deployments before execution, supporting both Azure CLI (az) and Azure Developer CLI (azd) workflows.

When to Use This Skill

  • Before deploying infrastructure to Azure
  • When preparing or reviewing Bicep files
  • To preview what changes a deployment will make
  • To verify permissions are sufficient for deployment
  • Before running azd up, azd provision, or az deployment commands

Validation Process

Follow these steps in order. Continue to the next step even if a previous step fails—capture all issues in the final report.

Step 1: Detect Project Type

Determine the deployment workflow by checking for project indicators:

  1. Check for azd project: Look for azure.yaml in the project root

    • If found → Use azd workflow
    • If not found → Use az CLI workflow
  2. Locate Bicep files: Find all .bicep files to validate

    • For azd projects: Check infra/ directory first, then project root
    • For standalone: Use the file specified by the user or search common locations (infra/, deploy/, project root)
  3. Auto-detect parameter files: For each Bicep file, look for matching parameter files:

    • <filename>.bicepparam (Bicep parameters - preferred)
    • <filename>.parameters.json (JSON parameters)
    • parameters.json or parameters/<env>.json in same directory

Step 2: Validate Bicep Syntax

Run Bicep CLI to check template syntax before attempting deployment validation:

bicep build <bicep-file> --stdout

What to capture:

  • Syntax errors with line/column numbers
  • Warning messages
  • Build success/failure status

If Bicep CLI is not installed:

  • Note the issue in the report
  • Continue to Step 3 (Azure will validate syntax during what-if)

Step 3: Run Preflight Validation

Choose the appropriate validation based on project type detected in Step 1.

For azd Projects (azure.yaml exists)

Use azd provision --preview to validate the deployment:

azd provision --preview

If an environment is specified or multiple environments exist:

azd provision --preview --environment <env-name>

For Standalone Bicep (no azure.yaml)

Determine the deployment scope from the Bicep file's targetScope declaration:

Target ScopeCommand
resourceGroup (default)az deployment group what-if
subscriptionaz deployment sub what-if
managementGroupaz deployment mg what-if
tenantaz deployment tenant what-if

Run with Provider validation level first:

# Resource Group scope (most common)
az deployment group what-if \
  --resource-group <rg-name> \
  --template-file <bicep-file> \
  --parameters <param-file> \
  --validation-level Provider

# Subscription scope
az deployment sub what-if \
  --location <location> \
  --template-file <bicep-file> \
  --parameters <param-file> \
  --validation-level Provider

# Management Group scope
az deployment mg what-if \
  --location <location> \
  --management-group-id <mg-id> \
  --template-file <bicep-file> \
  --parameters <param-file> \
  --validation-level Provider

# Tenant scope
az deployment tenant what-if \
  --location <location> \
  --template-file <bicep-file> \
  --parameters <param-file> \
  --validation-level Provider

Fallback Strategy:

If --validation-level Provider fails with permission errors (RBAC), retry with ProviderNoRbac:

az deployment group what-if \
  --resource-group <rg-name> \
  --template-file <bicep-file> \
  --validation-level ProviderNoRbac

Note the fallback in the report—the user may lack full deployment permissions.

Step 4: Capture What-If Results

Parse the what-if output to categorize resource changes:

Change TypeSymbolMeaning
Create+New resource will be created
Delete-Resource will be deleted
Modify~Resource properties will change
NoChange=Resource unchanged
Ignore*Resource not analyzed (limits reached)
Deploy!Resource will be deployed (changes unknown)

For modified resources, capture the specific property changes.

Step 5: Generate Report

Create a Markdown report file in the project root named:

  • preflight-report.md

Use the template structure from references/REPORT-TEMPLATE.md.

Report sections:

  1. Summary - Overall status, timestamp, files validated, target scope
  2. Tools Executed - Commands run, versions, validation levels used
  3. Issues - All errors and warnings with severity and remediation
  4. What-If Results - Resources to create/modify/delete/unchanged
  5. Recommendations - Actionable next steps

Required Information

Before running validation, gather:

InformationRequired ForHow to Obtain
Resource Groupaz deployment groupAsk user or check existing .azure/ config
SubscriptionAll deploymentsaz account show or ask user
LocationSub/MG/Tenant scopeAsk user or use default from config
Environmentazd projectsazd env list or ask user

If required information is missing, prompt the user before proceeding.

Error Handling

See references/ERROR-HANDLING.md for detailed error handling guidance.

Key principle: Continue validation even when errors occur. Capture all issues in the final report.

Error TypeAction
Not logged inNote in report, suggest az login or azd auth login
Permission deniedFall back to ProviderNoRbac, note in report
Bicep syntax errorInclude all errors, continue to other files
Tool not installedNote in report, skip that validation step
Resource group not foundNote in report, suggest creating it

Tool Requirements

This skill uses the following tools:

  • Azure CLI (az) - Version 2.76.0+ recommended for --validation-level
  • Azure Developer CLI (azd) - For projects with azure.yaml
  • Bicep CLI (bicep) - For syntax validation
  • Azure MCP Tools - For documentation lookups and best practices

Check tool availability before starting:

az --version
azd version
bicep --version

Example Workflow

  1. User: "Validate my Bicep deployment before I run it"
  2. Agent detects azure.yaml → azd project
  3. Agent finds infra/main.bicep and infra/main.bicepparam
  4. Agent runs bicep build infra/main.bicep --stdout
  5. Agent runs azd provision --preview
  6. Agent generates preflight-report.md in project root
  7. Agent summarizes findings to user

Reference Documentation

來自 github 的更多技能

console-rendering
github
在 Go 中使用基於結構體標籤的控制台渲染系統的說明
official
acquire-codebase-knowledge
github
當使用者明確要求對現有程式碼庫進行映射、文件化或入門引導時,使用此技能。觸發詞如「映射此程式碼庫」、「文件化…」等提示。
official
acreadiness-assess
github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
official
acreadiness-generate-instructions
github
透過 AgentRC 指令命令生成量身打造的 AI 代理指令檔案。產生 .github/copilot-instructions.md(預設,建議用於 VS Code 中的 Copilot…
official
acreadiness-policy
github
幫助使用者選取、撰寫或套用 AgentRC 政策。政策可透過停用不相關的檢查、覆寫影響/等級、設定…來自訂整備度評分。
official
add-educational-comments
github
為程式碼檔案添加教育性註解,將其轉化為有效的學習資源。根據三個可設定的知識層級(初學者、中級、進階)調整解釋深度與語氣。若未提供檔案,會自動請求提供,並以編號清單對應以便快速選取。僅透過教育性註解將檔案擴充最多125%(嚴格上限:400行新註解;超過1,000行的檔案上限為300行)。保留檔案編碼、縮排風格、語法正確性及……
official
adobe-illustrator-scripting
github
使用 ExtendScript (JavaScript/JSX) 編寫、除錯及最佳化 Adobe Illustrator 自動化腳本。適用於建立或修改操控…的腳本時。
official
agent-governance
github
宣告式政策、意圖分類與稽核軌跡,用於控制AI代理工具存取與行為。可組合的治理政策定義允許/封鎖的工具、內容過濾器、速率限制與核准要求——以配置而非程式碼形式儲存。語意意圖分類在工具執行前,透過基於模式的訊號偵測危險提示(資料外洩、權限提升、提示注入)。工具層級治理裝飾器在函式層級強制執行政策……
official