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Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

Use this Skill: https://skilld.dev/gh/microsoft/github-copilot-for-azure/azure-prepare

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referencesservicesstorageaccess.md

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Storage - Access Patterns

Prerequisites for Granting Storage Access

⚠️ Important: To assign storage roles to managed identities, you need:

  • User Access Administrator or Owner role on the Storage Account (or parent resource group/subscription)
  • The role must include the Microsoft.Authorization/roleAssignments/write permission

Common scenarios:

  • Granting Storage Blob Data Owner to a Web App or Function App's managed identity (System Assigned or User Assigned)
  • Adding read/write access to blobs, queues, and tables for application workloads
  • Allowing user identities (developers, data admins) access in dev/test environments
  • Allowing applications to access storage using managed identity instead of connection strings

Scope best practices:

  • Grant roles at the smallest scope possible (e.g., specific storage account, not resource group or subscription)
  • Avoid broad scopes (Resource Group, Subscription, Tenant) unless absolutely necessary
  • Prefer resource-level assignments for production workloads

Managed identity types:

  • System Assigned: Automatically created with the resource (Web App, Function). Default when using DefaultAzureCredential.
  • User Assigned: Standalone identity that can be shared across resources. Requires additional configuration:
    • Set AZURE_CLIENT_ID app setting to the User Assigned Managed Identity's client ID
    • Configure identity in Bicep with both type: 'SystemAssigned, UserAssigned' and userAssignedIdentities

If you encounter AuthorizationFailed errors when assigning roles, ensure you have User Access Administrator or Owner permissions at the target scope.

Managed Identity Role Assignment

resource storageRoleAssignment 'Microsoft.Authorization/roleAssignments@2022-04-01' = {
  name: guid(storageAccount.id, principalId, 'Storage Blob Data Contributor')
  scope: storageAccount
  properties: {
    roleDefinitionId: subscriptionResourceId('Microsoft.Authorization/roleDefinitions', 'ba92f5b4-2d11-453d-a403-e96b0029c9fe')
    principalId: principalId
    principalType: 'ServicePrincipal'
  }
}

Storage Roles

Role Permissions
Storage Blob Data Reader Read blobs
Storage Blob Data Contributor Read/write blobs
Storage Queue Data Contributor Read/write queues
Storage Table Data Contributor Read/write tables

SDK Connection Patterns

Node.js

const { BlobServiceClient } = require("@azure/storage-blob");

const blobServiceClient = BlobServiceClient.fromConnectionString(
  process.env.AZURE_STORAGE_CONNECTION_STRING
);
const containerClient = blobServiceClient.getContainerClient("uploads");

Python

from azure.storage.blob import BlobServiceClient

blob_service_client = BlobServiceClient.from_connection_string(
    os.environ["AZURE_STORAGE_CONNECTION_STRING"]
)
container_client = blob_service_client.get_container_client("uploads")

.NET

var blobServiceClient = new BlobServiceClient(
    Environment.GetEnvironmentVariable("AZURE_STORAGE_CONNECTION_STRING")
);
var containerClient = blobServiceClient.GetBlobContainerClient("uploads");

Managed Identity Access

Use DefaultAzureCredential for local development (in production, use ManagedIdentityCredential — see auth-best-practices.md):

const { DefaultAzureCredential } = require("@azure/identity");
const { BlobServiceClient } = require("@azure/storage-blob");

const client = new BlobServiceClient(
  `https://${accountName}.blob.core.windows.net`,
  new DefaultAzureCredential()
);

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub8d

    The azure-prepare skill provides a comprehensive environment for preparing Azure applications for deployment. It focuses on generating infrastructure-as-code and deployment configuration while strictly enforcing security best practices like managed identity usage and secret management via Key Vault. No malicious patterns or security risks were identified.

  • Socket8d

    5 alerts: gptAnomaly, gptSecurity

  • Snyk8d

    Risk: LOW · No issues

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    68/196 files flagged

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Last checked against GitHub yesterday.

Activeupdated 3 weeks ago
metadata
{
  "author": "Microsoft",
  "version": "0.0.0-placeholder"
}
  • Infrastructure
  • azure
  • bicep
  • terraform
  • deployment
  • docker
  • functions
  • app-service

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Prepares Azure applications for deployment by generating infrastructure templates (Bicep or Terraform), azure.yaml configuration, and Dockerfiles. Covers new app creation, modernization, and hosting on App Service, Container Apps, or Functions—but excludes Python App Service deployments, copilot SDK apps, and cross-cloud migrations which have dedicated skills.

Generated from the current SKILL.md.

Does this skill handle Python App Service deployments?
No. Use the python-appservice-deploy skill instead for Python code-only App Service deploys.
Can I use this skill for cross-cloud migration?
No. This skill is for Azure-native preparation. Use azure-cloud-migrate for migrations from AWS, GCP, or other clouds.
Does this skill support Copilot SDK apps?
No. Use azure-hosted-copilot-sdk for apps with @github/copilot-sdk or CopilotClient.
What infrastructure templates does this skill support?
Azure Developer CLI (azd), Bicep, Terraform, and Azure CLI. The skill creates infrastructure code, Dockerfiles, and configuration files—actual deployment execution is handled by the azure-deploy skill.
Does this skill delete existing project files?
No. When adding features to existing projects, it modifies files rather than deletes them. It never removes the project or workspace directory itself.

Generated from the current SKILL.md. These answers refresh after source changes.