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Azure App Onboard

MicrosoftOfficialCreated by Microsoft

  • Skill
  • Workflow
  • Cloud and DevOps
  • MIT
  • Low risk
  • Has scripts

From the author

End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: use azd for deployment(use azure-deploy), optimizing existing costs (use cost-optimization), code readiness checks only (use azure-app-onboard-prereq).
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Azure App Onboard is a comprehensive workflow agent designed to take a business idea or an existing codebase and transition it to a running Azure deployment. It automates the entire lifecycle from initial discovery and architecture planning to infrastructure scaffolding and final deployment. The skill is built to be intelligent and tailored, analyzing the specific requirements of your application rather than relying on generic templates. It includes built-in approval gates for both the architecture plan and the final deployment, ensuring you maintain control over costs and resource configuration throughout the process.

What it does

  • Analyzes your application code or business idea to determine the optimal Azure service stack.
  • Generates custom infrastructure-as-code (IaC) files tailored to your specific application needs.
  • Provides detailed cost estimates for the proposed Azure infrastructure before deployment.
  • Executes the deployment of resources directly to your Azure subscription.
  • Handles the migration of existing applications to Azure with minimal code changes.
  • Provides a structured, step-by-step onboarding experience for developers of all experience levels.

When to use it

  • When you have an application and want to deploy it to Azure but are unsure which services to use.
  • When you need to migrate an existing application to the cloud without a complete rewrite.
  • When you require a cost estimate for your infrastructure before committing to a deployment.
  • When you need guided, end-to-end assistance for setting up a new Azure project.
  • When you want to verify if your current codebase is ready for a cloud deployment.

Advantages

  • Eliminates guesswork by auto-detecting the right Azure services for your specific stack.
  • Reduces manual effort by automating the scaffolding of infrastructure-as-code.
  • Ensures transparency with mandatory approval gates for architecture and deployment.
  • Provides cost visibility early in the planning phase.
  • Supports a wide range of scenarios from greenfield projects to existing app migrations.

Usage examples

“I have a Python web app and want to deploy it to Azure. Can you help me get started?”
The agent will initiate the discovery phase, scan your codebase, propose an architecture, and guide you through the deployment process.
“I need to move my existing application to Azure, but I'm not sure what services I need. Can you plan this for me?”
The agent will analyze your app's requirements, suggest the appropriate Azure services, and provide a cost estimate for your approval.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/azure-app-onboard/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip azure-app-onboard.zip -d .agents/skills

Documentation by Microsoft

Azure App Onboard

⛔ Every repo goes through the full pipeline (Steps 1–10). No exceptions. Do not skip steps, refuse, or short-circuit based on what you recognize. Follow the Workflow table below sequentially — read each step's references before acting.

Quick Reference

PropertyValue
Best forDevelopers who know what to build but not which Azure services to use
InputsBusiness idea or existing codebase, budget/scale preferences (optional)
OutputsArchitecture plan, cost estimate, IaC files, deployed Azure resources
PhasesDiscover → Architect → Scaffold → Deploy (self-contained, no external skill calls)

When to Use This Skill

  • Deploy existing code without knowing which Azure services to use

  • Check if your existing code is ready to deploy to Azure

  • Move an existing app to Azure without rewriting or with minimal changes

  • Get cost estimates before committing to infrastructure

  • Understand architecture decisions and rejected alternatives

  • Get answers to Azure architecture or service selection questions (e.g., "What database should I use?")

  • Get guided Azure onboarding without prior experience

When NOT to Use

ScenarioUse Instead
Run azd up or execute an existing deploymentazure-deploy
Optimize existing Azure spendcost-optimization from the optional azure-cost plugin
Generate Bicep/Terraform for a known architectureazure-prepare
Validate infrastructure or run preflight checksazure-validate
Troubleshoot a running Azure deploymentazure-diagnostics
Deploy to or manage AKS/Kubernetes directlyazure-kubernetes
Look up or list existing Azure resourcesazure-resource-lookup

If cost-optimization is unavailable, explain that it is provided by the optional azure-cost plugin and direct the user to their client's supported plugin installation flow; do not imply the handoff completed.

Pipeline Rules

⛔ You MUST read references/pipeline-rules.md at the start of every AppOnboard session. It contains approval gates, phase lifecycle, session artifacts, deploy-as-is, and security baseline rules.

Workflow

⛔ Deploy recovery: After deploy gate approval OR before any az deployment/az webapp deploy/az acr build — if you haven't read deploy/PHASE.md, read .copilot-azure/sessions/{id}/deploy-checklist.md first, then deploy/PHASE.md. ⛔ NEVER invoke {"skill": "azure-deploy"} — that is a DIFFERENT skill for a DIFFERENT workflow.

⛔ Post-scaffold transition (MANDATORY): Immediately after scaffold-manifest.json is written, YOUR NEXT ACTION MUST be Step 8 (Deploy Approval Gate) — NOT a summary report, NOT a "here are the generated files" message, NOT a completion signal. Confirm context.json has completedPhases: [...,"scaffold"] + currentPhase: "deploy" (update it yourself if the scaffold subagent didn't). Re-read approval-gates.md § Deploy Gate if evicted from context (scaffold reference loading is heavy), then present the exact prompt: "🚀 Ready to deploy? (Yes / Run manually / Edit plan / Cancel)". This gate is the LAST content in your response — wait for the user's reply.

#StepActionReference
1Session check + Azure loginCreate/resume session, verify Azure CLI auth, resolve subscription + user identity⛔ You MUST read session-protocol.md
2Scope triageCheck azd markers, triage question. Empty workspace or code-only (no infra) → Step 3 directly.⛔ Read intent-gathering.md § Scope Triage
3Prereq scan⛔ Skip if completedPhases includes "prereq". Otherwise: invoke {"skill": "azure-app-onboard-prereq"}. Write prereq-output.json, update context.json. Halt if: overallHealth: "blocked" OR routeToSkill set.
4Gather intentPresent prereq results, confirm stack + Azure services, ask remaining questions.⛔ Read intent-gathering.md § After Prereq Returns
5Plan architectureWrite prepare-plan.json.⛔ You MUST read prepare/PHASE.md
6Scaffold approval gateDisplay plan for user approval BEFORE generating any files.⛔ Read approval-gates.md § Scaffold Gate
7ScaffoldGenerate IaC, self-review. Write scaffold-manifest.json. Update context.json.⛔ You MUST read scaffold/PHASE.md
8Deploy approval gateDisplay validation summary. ⛔ After approval: FIRST read deploy-checklist.md → deploy/PHASE.md. NEVER {"skill": "azure-deploy"}.⛔ Read approval-gates.md § Deploy Gate
9DeployExecute IaC, health-check. Write deploy-result.json.⛔ You MUST read deploy/PHASE.md
10HandoffSurface deployment identity, cleanup commands, next steps.⛔ You MUST read handoff-protocol.md

Error Handling

ErrorRemediation
Phase failsHalt, report phase + error. User decides: retry, skip, abort.
MCP server unavailableSkip affected checks, add disclaimer to costEstimate.assumptions[] and every approval gate.
Missing RBACReport required role + az role assignment command.

Shared references: MCP tools (cross-phase tool parameters) | IaC resources (Azure resource docs for troubleshooting)

Files

deploy/references/blocked-patterns.md

Blocked Patterns

Commands the agent must NEVER execute. Block decisions are non-negotiable — user must run blocked commands manually outside AppOnboard.

PatternActionReason
rm -rf (any path outside a fresh temp dir)⛔ BlockPrevents accidental deletion of IaC, app code, or session artifacts — especially infra/, .azure/, .copilot-azure/.
git reset --hard, git checkout -- <path>, git restore, git clean⛔ BlockDiscards uncommitted work. During region-fallback healing the agent edits Bicep/app config; these wipe the user's unstaged changes irrecoverably.
git push --force / --force-with-lease (any branch)⛔ BlockPrevents force-push of generated code over remote history.
--no-verify (on git commit / git push)⛔ BlockBypasses hooks (secret-scan, lint) that guard the commit.
DROP TABLE / DROP DATABASE⛔ BlockPrevents data loss
terraform destroy⛔ BlockPrevents accidental teardown (user must run manually)
az group delete⛔ HARD BLOCKNEVER delete resource groups yourself. During healing: if switching regions/RGs, add the old RG to your orphanedResourceGroups[] list (per OrphanResourceGroup in deploy-schemas.ts) instead of deleting it. At handoff: emit az group delete commands in the handoff message for the USER to run — the agent never executes them. If you are about to type az group delete into a terminal command, STOP — you are violating this rule. Track it in orphanedResourceGroups[] instead.
az containerapp up --source / az containerapp create⛔ BlockCreates ACR + CA Environment + Log Analytics imperatively — orphan resources invisible to terraform destroy, az deployment sub delete, and session tag-based bulk cleanup. State drift from IaC is unrecoverable. The Container App MUST be created via Bicep az deployment sub create — for code deploy on an existing CA use az containerapp update --source (Step 6d)
az appservice plan update⛔ BlockImperative SKU change — edit Bicep + redeploy
az webapp update⛔ BlockImperative resource modification — all changes via IaC
az functionapp update⛔ BlockImperative resource modification — all changes via IaC
az webapp deployment source config-zip⛔ BlockRequires SCM basic auth — use az webapp deploy (Entra auth)
az webapp deploy --track-status⛔ Block--track-status flag does not exist. Remove it.
az webapp up / az webapp create / az appservice plan create⛔ BlockCreates App Service Plan + App imperatively — bypasses IaC entirely
az containerapp update (config changes)⛔ BlockImperative resource modification — all changes via IaC
az containerapp update --revision-suffix (no config changes)⚠️ ALLOWEDKV secret rotation only — when KV secrets were updated post-deploy and a new revision is needed to pick up cached values
az webapp delete⛔ BlockImperative resource deletion — destroys resources outside IaC
az appservice plan delete⛔ BlockImperative plan deletion — remove from Bicep + redeploy instead
az containerapp update --image⛔ Block (during healing)Imperative image swap causes IaC drift — update Bicep + redeploy
Inline secret values in CLI args⛔ Block--parameters password=MyP@ss$word! breaks shell escaping and leaks secrets in terminal history. Pass secrets via main.parameters.json, terraform.tfvars, or az keyvault secret set --file.
Writing secrets to temp files on disk⛔ Block⛔ NEVER write secrets to temp files on disk. Seed secrets into Key Vault via az keyvault secret set, then reference via SecretUri in IaC. Temp files risk exposure in crash dumps, logs, and unprotected storage.
az group create (during healing)⛔ HARD BLOCK — one sanctioned exceptionNEVER create resource groups imperatively during healing. All RG creation must go through az deployment sub create with Bicep targetScope = 'subscription'. If you need a new RG for region fallback, update the Bicep region parameter and redeploy. Sole exception: the documented 403 scope-fallback in deploy-safety.md § 403 Scope Fallback — when az deployment sub create returns 403, rescoping Bicep to RG-scope requires az group create (with all 5 AppOnboard tags). That path is allowed.
az rest --method put/patch (for individual resource creation)⛔ HARD BLOCKNEVER create individual Azure resources via REST API as a fallback for Bicep failures. After a deployment failure, the ONLY allowed remediation is: fix the Bicep parameters/template → re-run az deployment sub create. Compiling Bicep→ARM and deploying via REST is still imperative resource creation.
Disabling a security control to unblock — require_secure_transport/TLS → OFF, HTTPS-only off, KV purge protection off, auth off (via az ... parameter set OR editing the Bicep)⛔ HARD BLOCKNEVER weaken a security control to make a failing deploy pass. A DB TLS handshake failure means the client lacks SSL config — fix the client (prereq W-MYSQL-SSL/W-PG-SSL) or surface the tradeoff to the user. Downgrading the server control is forbidden.
Compress-Archive -Path $files.FullName⛔ BlockAbsolute paths flatten directory structure — app crashes on ./src/app not found. Use System.IO.Compression.ZipFile with relative paths from workspace root. On Windows, normalize: $entryName = $relativePath.Replace('\', '/').

Repos with existing azure.yaml: See pipeline-rules.md § azure.yaml prohibition. Deploy via az deployment sub create — do NOT run azd up.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs Node.js

Security

What our scanner noticed· Low risk

  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/skills · .github/plugins/azure-skills/skills/azure-app-onboard · commit 0696600
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
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microsoft/azure-skills

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