Azure Deployment Preflight
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.
MCP get_skill({ skillId: "azure-deployment-preflight-validation-834dd691" })Use this skill with your agent
Create a free account and connect via MCP
# 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: ```bash 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: ```bash azd provision --preview ``` If an environment is specified or multiple environments exist: ```bash azd provision --preview --environment <env-name> ``` #### For Standalone Bicep (no azure.yaml) Determine the deployment scope from the Bicep file's `targetScope` declaration: | Target Scope | Command | |--------------|---------| | `resourceGroup` (default) | `az deployment group what-if` | | `subscription` | `az deployment sub what-if` | | `managementGroup` | `az deployment mg what-if` | | `tenant` | `az deployment tenant what-if` | **Run with Provider validation level first:** ```bash # 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`: ```bash 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 Type | Symbol | Meaning | |-------------|--------|---------| | 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](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: | Information | Required For | How to Obtain | |-------------|--------------|---------------| | Resource Group | `az deployment group` | Ask user or check existing `.azure/` config | | Subscription | All deployments | `az account show` or ask user | | Location | Sub/MG/Tenant scope | Ask user or use default from config | | Environment | azd projects | `azd env list` or ask user | If required information is missing, prompt the user before proceeding. ## Error Handling See [references/ERROR-HANDLING.md](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 Type | Action | |------------|--------| | Not logged in | Note in report, suggest `az login` or `azd auth login` | | Permission denied | Fall back to `ProviderNoRbac`, note in report | | Bicep syntax error | Include all errors, continue to other files | | Tool not installed | Note in report, skip that validation step | | Resource group not found | Note 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: ```bash 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 - [Validation Commands Reference](references/VALIDATION-COMMANDS.md) - [Report Template](references/REPORT-TEMPLATE.md) - [Error Handling Guide](references/ERROR-HANDLING.md)
Related Skills
More skills in DevOps & Cloud
1password Skill
1password Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
Actions Manager
GitHub Actions command center -- view workflow runs, read logs, re-run failed jobs, manage workflows, and debug CI failures entirely from the editor. Bypasses the deeply nested, visually-dependent Actions UI that is largely inaccessible to screen readers.
Airunway Aks Setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Alz Accelerator
Deploy Azure Landing Zones using the ALZ Accelerator with AVM (Azure Verified Modules). Use this skill whenever the user mentions Azure Landing Zones, ALZ, Azure landing zone accelerator, AVM modules for landing zones, deploying management groups, hub-and-spoke networking, Virtual WAN, platform landing zones, or asks about Bicep vs Terraform for Azure infrastructure. Also trigger when the user wants to bootstrap CI/CD for Azure platform deployment, set up management groups hierarchy, or deploy connectivity/identity/management platform subscriptions.
Alz Accelerator Skill
Alz Accelerator Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
Ansible Conventions and Best Practices
Ansible conventions and best practices
Explore Other Categories
Skills from other categories with shared topics
Automating Filling in a Form with Playwright MCP
Automate filling in a form using Playwright MCP
Chrome Devtools
Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
DevOps Expert
DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement