azure-deployment-preflight

github/awesome-copilot · updated Apr 8, 2026

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

Validates Bicep deployments to Azure before execution, detecting syntax errors, permission issues, and previewing infrastructure changes.

  • Supports both Azure CLI ( az ) and Azure Developer CLI ( azd ) workflows, auto-detecting project type via azure.yaml
  • Runs Bicep syntax validation, what-if analysis across all deployment scopes (resource group, subscription, management group, tenant), and permission checks with fallback to reduced-permission validation
  • Captures detailed what-if resu
skill.md

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 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:

# 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 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.

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 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:

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

how to use azure-deployment-preflight

How to use azure-deployment-preflight on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add azure-deployment-preflight
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

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

The skills CLI fetches azure-deployment-preflight from GitHub repository github/awesome-copilot and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/azure-deployment-preflight

Reload or restart Cursor to activate azure-deployment-preflight. Access the skill through slash commands (e.g., /azure-deployment-preflight) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.774 reviews
  • Maya Brown· Dec 28, 2024

    azure-deployment-preflight reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sophia Verma· Dec 20, 2024

    azure-deployment-preflight has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Arjun Bansal· Dec 20, 2024

    azure-deployment-preflight is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Harper Martinez· Dec 16, 2024

    Registry listing for azure-deployment-preflight matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Mensah· Dec 12, 2024

    Useful defaults in azure-deployment-preflight — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sophia Tandon· Dec 8, 2024

    We added azure-deployment-preflight from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Harper Menon· Dec 4, 2024

    azure-deployment-preflight fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Okafor· Nov 27, 2024

    Keeps context tight: azure-deployment-preflight is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Harper Iyer· Nov 23, 2024

    azure-deployment-preflight is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hana Park· Nov 15, 2024

    azure-deployment-preflight reduced setup friction for our internal harness; good balance of opinion and flexibility.

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