跳到正文
cccskills
免费在 GitHub 公开

azure-deployment-preflight

Check Bicep infrastructure definitions before deploying to Azure. Validate syntax, preview resource changes, check deployment permissions, and produce a Markdown report of issues and recommendations using Azure CLI or Azure Developer CLI workflows.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.

集成工具Azure
查看安装方法

适用场景

  • Validating Bicep files before deployment
  • Previewing resource creation, modification, and deletion
  • Checking deployment permissions
  • Preparing a validation report before azd provision

包含的文件(4)

  • SKILL.md7.3 KB
  • references/ERROR-HANDLING.md8.7 KB
  • references/REPORT-TEMPLATE.md7.3 KB
  • references/VALIDATION-COMMANDS.md8.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.

中文简介正在准备中。当前显示英语简介。

  • Get oriented in an unfamiliar codebase
  • Prepare documentation for a project handover
  • Compare documented architecture with implementation
github/awesome-copilot4万2026年10月17日 更新

Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.

中文简介正在准备中。当前显示英语简介。

  • Assessing a repository’s readiness for AI agents
  • Prioritizing improvements from assessment results
  • Reviewing scores under an organization’s own policy
github/awesome-copilot4万2026年10月17日 更新

Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.

中文简介正在准备中。当前显示英语简介。

  • Create project instructions for VS Code Copilot
  • Refresh agent rules after project changes
  • Split monorepo instructions by project area
github/awesome-copilot4万2026年10月17日 更新

Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.

中文简介正在准备中。当前显示英语简介。

  • Set shared readiness standards across an organization
  • Focus assessments on AI tooling
  • Adjust the importance of individual checks
github/awesome-copilot4万2026年10月17日 更新

Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.

中文简介正在准备中。当前显示英语简介。

  • Identify ads and keywords to pause
  • Find campaigns and audiences worth scaling
  • Assess whether A/B test results are meaningful
github/awesome-copilot4万2026年10月17日 更新

Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.

中文简介正在准备中。当前显示英语简介。

  • Add beginner-friendly explanations to existing code
  • Document the reasoning behind syntax and design choices
  • Adjust comment depth for readers with different experience
github/awesome-copilot4万2026年10月17日 更新

查看 github 的全部技能

报告此技能的问题