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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

scaffold/references/bicep-container-apps.md

Bicep — Container Apps Patterns

Container Apps-specific Bicep patterns. For shared patterns (skeleton, naming, tags, security defaults, data modules), see bicep-patterns.md.

Two-Phase Wiring

Container Apps + ACR requires two-phase deployment (circular dependency: CA needs ACR image, ACR needs CA identity for AcrPull):

  1. Phase 1: Deploy Container App with placeholder image (mcr.microsoft.com/azuredocs/containerapps-helloworld:latest). ⛔ No registries block, no KV secretRef. The placeholder image is pulled from MCR (public). Use registries: [] and secrets: []. RBAC role assignments (AcrPull, KV Secrets User) ARE created in Phase 1 — they don't affect the placeholder deployment and need 1–2 minutes to propagate before Phase 2.

  2. Phase 2: Build + push app image to ACR, redeploy with real image + registries + KV secretRef entries. RBAC is already propagated from Phase 1.

⛔ Placeholder image listens on port 80, not your app's port. Set targetPort conditionally: var effectivePort = containerImage == 'mcr.microsoft.com/azuredocs/containerapps-helloworld:latest' ? 80 : appPort. Mismatched ports cause "Operation expired" (health probe can't reach container).

⛔ containerImage param must exist in BOTH main.bicep AND the container app module. Phase 2 passes --parameters containerImage='...' via CLI — if main.bicep lacks the param, the override is silently ignored and the placeholder persists.

// In main.bicep: thread containerImage to module
param containerImage string = 'mcr.microsoft.com/azuredocs/containerapps-helloworld:latest'
module containerApp './modules/containerapp.bicep' = {
  params: { containerImage: containerImage /* ...other params... */ }
}

// In containerapp.bicep:
param containerImage string = 'mcr.microsoft.com/azuredocs/containerapps-helloworld:latest'
var isPlaceholder = containerImage == 'mcr.microsoft.com/azuredocs/containerapps-helloworld:latest'

resource containerApp 'Microsoft.App/containerApps@2024-03-01' = {
  identity: { type: 'SystemAssigned' }
  properties: {
    configuration: {
      ingress: {
        external: true
        targetPort: isPlaceholder ? 80 : appPort
        allowInsecure: false  // ⛔ MANDATORY
      }
      registries: isPlaceholder ? [] : [{ server: acr.properties.loginServer, identity: 'system' }]
      secrets: isPlaceholder ? [] : [ /* KV secretRefs here */ ]
    }
    template: {
      containers: [{
        image: containerImage
        env: [{ name: 'PORT', value: string(isPlaceholder ? 80 : appPort) }]
      }]
    }
  }
}

⛔ Do NOT set revisionSuffix. Omit it entirely — ARM auto-generates unique revision names. Hardcoding revisionSuffix: 'v1' causes Phase 2 redeploy to fail with "revision with suffix v1 already exists."

AcrPull Role Assignment

⛔ AcrPull role GUID: 7f951dda-4ed3-4680-a7ca-43fe172d538d. Copy verbatim — wrong GUIDs cause RoleDefinitionDoesNotExist.

resource acrPullRole 'Microsoft.Authorization/roleAssignments@2022-04-01' = {
  name: guid(acr.id, containerApp.id, '7f951dda-4ed3-4680-a7ca-43fe172d538d')
  scope: acr
  properties: {
    roleDefinitionId: subscriptionResourceId('Microsoft.Authorization/roleDefinitions', '7f951dda-4ed3-4680-a7ca-43fe172d538d')
    principalId: containerApp.identity.principalId
    principalType: 'ServicePrincipal'
  }
}

Log Analytics Workspace Key

⛔ Use resource.listKeys(), NOT reference(). reference() does not expose primarySharedKey.

// ✅ Correct
var laKey = logAnalyticsWorkspace.listKeys().primarySharedKey

// ❌ Wrong
var laKey = reference(logAnalyticsWorkspace.id, '2023-09-01').primarySharedKey
Log Analytics customerId vs resource ID

⛔ Output BOTH id and customerId from the log-analytics module. Container Apps Environment needs the GUID customerId. App Insights needs the ARM resource ID. Do NOT use split(workspaceId, '/')[8] — that extracts the workspace name, not the GUID.

// log-analytics.bicep outputs:
output id string = logAnalyticsWorkspace.id                            // ARM resource ID
output customerId string = logAnalyticsWorkspace.properties.customerId // GUID
output sharedKey string = logAnalyticsWorkspace.listKeys().primarySharedKey

// container-app-environment.bicep:
param workspaceCustomerId string  // GUID, NOT resource ID
// ⛔ MUST nest under appLogsConfiguration.destination='log-analytics' — a bare top-level logAnalyticsConfiguration fails deploy (ManagedEnvironmentInvalidSchema). This nesting is the ONLY valid location at EVERY API version (the flat shape was never valid — NOT version drift, so do not chase API-version pins). This is the CA's only log path (no diagnostic-settings module).
properties: {
  appLogsConfiguration: {
    destination: 'log-analytics'
    logAnalyticsConfiguration: {
      customerId: workspaceCustomerId
      sharedKey: workspaceSharedKey
    }
  }
}
// ❌ WRONG: customerId: split(workspaceId, '/')[8]

Ingress & Port Mapping

⛔ Container resource limits: Use decimal format for memory: '0.5Gi', '1Gi', '2Gi' — NOT Kubernetes-style '512Mi'. CPU must be type string: '0.25', '0.5', '1'. Valid combos: 0.25/0.5Gi, 0.5/1Gi, 0.75/1.5Gi, 1/2Gi, 1.25/2.5Gi, 1.5/3Gi, 1.75/3.5Gi, 2/4Gi.

⛔ ACR module: retentionPolicy is Premium-only. For Basic/Standard ACR, omit retentionPolicy entirely — ARM rejects it.

Key Vault Secret References

⛔ Container Apps does NOT support @Microsoft.KeyVault(SecretUri=...) syntax. That is App Service-only. Container Apps uses secretRef with managed identity.

Correct pattern — Container Apps secrets from Key Vault:

❌ WRONG — environment().suffixes.keyvaultDns produces double-dot URL: keyVaultUrl: 'https://${kvName}${environment().suffixes.keyvaultDns}/secrets/...' That function returns .vault.azure.net (WITH leading dot) → kv-name..vault.azure.net → ContainerAppSecretKeyVaultUrlInvalid. ✅ Use keyVault.name + .vault.azure.net (hardcoded domain) or keyVaultModule.outputs.vaultUri.

⛔ Every secrets[].keyVaultUrl in a Container App MUST have a matching Microsoft.KeyVault/vaults/secrets child resource in the KV module. If the CA references sshpass via secretRef, the KV module must create that secret. Missing secrets → SecretNotFound at Phase 2 deploy.

resource containerApp 'Microsoft.App/containerApps@2024-03-01' = {
  identity: {
    type: 'SystemAssigned'
  }
  properties: {
    configuration: {
      secrets: [
        {
          name: 'db-connection-string'
          // ⛔ Do NOT replace vault.azure.net with environment().suffixes.keyvaultDns — it adds a leading dot → double-dot URL
          #disable-next-line no-hardcoded-env-urls
          keyVaultUrl: 'https://${keyVault.name}.vault.azure.net/secrets/db-connection-string'
          identity: 'system'  // Uses the CA's system-assigned managed identity
        }
      ]
    }
    template: {
      containers: [{
        env: [
          {
            name: 'DATABASE_URL'
            secretRef: 'db-connection-string'  // References the secret defined above
          }
        ]
      }]
    }
  }
}

⛔ Never use conditional logic (??, ternary, empty(), union()) to mix plain and secret env vars in a single Bicep loop or array. ARM evaluates ALL property paths in conditional expressions — envVar.secretRef errors on items that don't have that property, producing InvalidTemplate. Instead, define plain and secret env vars as separate arrays and concatenate:

env: concat(
  [
    { name: 'PORT', value: '8000' }
    { name: 'NODE_ENV', value: 'production' }
  ],
  [
    { name: 'DATABASE_URL', secretRef: 'db-connection-string' }
    { name: 'REDIS_URL', secretRef: 'redis-connection-string' }
  ]
)

⛔ KV Secrets User role scoped to Key Vault resource — NOT resourceGroup(). Scoping to resourceGroup() causes 403.

resource kvRole 'Microsoft.Authorization/roleAssignments@2022-04-01' = {
  scope: keyVault                    // ⛔ scope to KV resource, not RG
  properties: {
    roleDefinitionId: subscriptionResourceId('Microsoft.Authorization/roleDefinitions', '4633458b-17de-408a-b874-0445c86b69e6') // Key Vault Secrets User
    principalId: containerApp.identity.principalId  // ⛔ object ID, NOT clientId
    principalType: 'ServicePrincipal'
  }
}

❌ WRONG: principalId: .clientId (not the object ID) or identity: containerApp.id in secrets[] (use 'system' for system-assigned MI).

For KV secret seeding and dependency chain, see env-var-secrets.md.

Multi-Container Internal DNS

Container Apps in the same environment communicate via internal DNS: http://{container-app-name}. Set via env vars:

env: [
  { name: 'API_URL', value: 'http://${apiContainerApp.name}' }
  { name: 'WORKER_URL', value: 'http://${workerContainerApp.name}' }
]

No ingress needed for internal-only services — set ingress.external: false or omit ingress entirely.

Networking

⛔ Subnets MUST be defined inline in VNet properties.subnets[], NOT as separate Microsoft.Network/virtualNetworks/subnets child resources. Separate child resources cause InUseSubnetCannotBeDeleted on redeploy when NICs are attached.

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.

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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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