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/azure-prepare

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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

This session only. Nothing lands on disk.

referencessdkazure-identity-java.md

≈313 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Authentication — Java SDK Quick Reference

Condensed from azure-identity-java. Full patterns (workload identity, certificate auth, device code, sovereign clouds) in the azure-identity-java plugin skill if installed.

Install

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-identity</artifactId>
    <version>1.15.0</version>
</dependency>

Quick Start

Auth: DefaultAzureCredential is for local development. See auth-best-practices.md for production patterns.

import com.azure.identity.DefaultAzureCredentialBuilder;
var credential = new DefaultAzureCredentialBuilder().build();

Best Practices

  • Use DefaultAzureCredential for local development only (CLI, PowerShell, VS Code). In production, use ManagedIdentityCredential — see auth-best-practices.md
  • Managed identity in production — no secrets to manage, automatic rotation
  • Azure CLI for local dev — run az login before running your app
  • Least privilege — grant only required permissions to service principals
  • Token caching — enabled by default, reduces auth round-trips
  • Environment variables — use for CI/CD, not hardcoded secrets

Source: SKILL.md on GitHub

1 alert8d4 checks · Risk SAFE
  • 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

Signed by skilld at 7995851. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

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.