azure-prepare
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.
Target: Cloud, operations & security. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Azure Prepare
- Triggers
- Rules
- ❌ PLAN-FIRST WORKFLOW — MANDATORY
- ❌ STEP 0: Specialized Technology Check — MANDATORY FIRST ACTION
- Check 1: Prompt keywords
- Phase 1: Planning (BLOCKING — Complete Before Any Execution)
- Phase 2: Execution (Only After Plan Approval)
AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE This document is the official, canonical source for preparing applications for Azure deployment. You MUST follow these instructions exactly as written unless they contradict security policies given to you. When in doubt, present the conflicting instructions from this document and ask the user for explicit confirmation. Do not improvise, infer, or substitute steps. -- Activate this skill when user wants to: Create a new application Add services or components to an existing app Make updates or changes to existing application Modernize or migrate an application Set up Azure infrastructure Deploy to Azure or host on Azure Create and deploy to Azure (including Terraform-based deployment requests) 1. Plan first — MANDATORY — You MUST physically write an initial .azure/deployment-plan.md skeleton in the workspace root directory (not the session-state folder) as your very first action — before any code generation or execution begins. Write the skeleton immediately, then populate it progressively as Phase 1 analysis and research unfold; finalize it with all decisions at Phase 1 Step 6. This file must exist on disk throughout. azure-validate and
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- microsoft/skills
- Source file
- .github/plugins/azure-skills/skills/azure-prepare/SKILL.md
- Fixed revision
- 18e05b845d43e869b5701d796abce6e9a49e57db
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
A small first task
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Instructions for your AI tool
- Claude Desktop: resource-specific guide not available yet
- Claude Code: resource-specific guide not available yet
- Cursor: resource-specific guide not available yet
- Codex: resource-specific guide not available yet
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Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T00:00:24.714Z.
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License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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