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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-patterns-security.md

Bicep Patterns — Security Defaults

Mandatory security configuration for all AppOnboard-generated Bicep. Read during IaC generation before writing resource definitions. Apply during scaffold — never defer to deploy.

For core patterns (file structure, skeleton, naming, tagging), see bicep-patterns.md. For data module templates (PostgreSQL, Redis), see subagent-iac-gen.md Step 6.

Key Vault Deployer RBAC

The deploying user/principal needs RBAC to write secrets (scaffold seeds initial values) and read them (verify wiring):

  • Key Vault Secrets Officer (b86a8fe4-44ce-4948-aee5-eccb2c155cd7) — write secrets

  • Key Vault Secrets User (4633458b-17de-408a-b874-0445c86b69e6) — read secrets (also needed by app MI)

If the app seeds data using a generated secret (admin password, API key), either display it to the user at deploy time OR ensure the deployer has read RBAC on the Key Vault.

⛔ Include a role assignment for the deploying user (context.json.azure.userObjectId) with Key Vault Secrets Officer scoped to the Key Vault resource. Without this, az keyvault secret set fails with 403 during deploy secret seeding.

Security Defaults

Source: Adapted from Azure security best practices. See Azure security baseline for updates.

Identity — Managed Identity Everywhere

⛔ Managed identity decision — evaluate top to bottom, first match wins.

ConditionInclude MI?
F1 or D1 SKU on LinuxNO (MI sidecar causes OOM — use @secure() param + KV deployer RBAC instead)
Any Key Vault, database, storage, queue, or ACR accessYES
None of the aboveYES (default secure)
  • System-assigned managed identity for all services (default). User-assigned only when shared identity is explicitly needed.

  • ⛔ Never generate administratorLogin or administratorLoginPassword for SQL — including inside conditional branches. Use Entra-only auth (see SQL Server pattern below).

  • App-to-service auth: managed identity + RBAC role assignments. Zero secrets in code or config.

identity: {
  type: 'SystemAssigned'
}
SQL Server — Entra-Only Authentication

For full SQL auth reference (connection strings, managed identity SQL grants, CI/CD principal types), see azure-prepare/references/services/sql-database/auth.md.

param principalId string
param principalName string
@allowed(['User', 'Group', 'Application'])
param principalType string = 'User'

// Preview API required — azureADOnlyAuthentication via administrators block
// is not available in GA API versions (GA path uses a separate child resource).
resource sqlServer 'Microsoft.Sql/servers@2024-05-01-preview' = {
  name: '${resourcePrefix}-sql-${uniqueHash}'
  location: location
  properties: {
    administrators: {
      administratorType: 'ActiveDirectory'
      principalType: principalType
      login: principalName
      sid: principalId
      tenantId: subscription().tenantId
      azureADOnlyAuthentication: true
    }
    minimalTlsVersion: '1.2'
  }
}

⚠️ If deploying from CI/CD with a service principal, set principalType to 'Application'. The default 'User' only works for interactive deployments.

Secrets — Key Vault References

Store secrets in Key Vault. Reference via app settings — never inline.

⛔ No plaintext secrets in Bicep appSettings. Values like SECRET_KEY, JWT_SECRET, API_KEY, session secrets, and database passwords MUST NOT be hardcoded — not even as placeholders. Never use uniqueString() for secrets (deterministic/predictable). These appear in ARM deployment history and persist in source control.

Container Apps exception: Phase 1 of two-phase deployment uses secrets: [] — NO secrets at all (not plaintext, not KV). KV secretRef entries are activated in Phase 2 after RBAC propagates. See bicep-container-apps.md § Two-Phase Wiring.

⛔ Container Apps KV URL — do NOT use environment().suffixes.keyvaultDns. That function returns .vault.azure.net (WITH leading dot) → double-dot URL → ContainerAppSecretKeyVaultUrlInvalid. Use 'https://${kvName}.vault.azure.net/secrets/...' with #disable-next-line no-hardcoded-env-urls to suppress the linter.

Correct patterns:

  1. Key Vault reference (preferred): '@Microsoft.KeyVault(VaultName=${kvName};SecretName=secret-key)'

  2. Deploy-time seeding (free-tier): Omit from Bicep; run az webapp config appsettings set --settings SECRET_KEY=$(openssl rand -base64 32) post-deploy

  3. Bicep @secure() parameter: Pass via CLI --parameters secretKey=$(openssl rand -base64 32) — never committed to parameters.json

❌ NEVER: { name: 'SECRET_KEY', value: 'hard-to-guess-string' } or value: 'change-me' in Bicep

// App Service / Functions — Key Vault reference pattern
appSettings: [
  {
    name: 'DB_CONNECTION_STRING'
    value: '@Microsoft.KeyVault(VaultName=${kvName};SecretName=db-connection-string)'
  }
]

Key Vault module — emit this resource EXACTLY; add no other properties. enablePurgeProtection is deliberately absent (ARM rejects false; true blocks cleanup).

resource kv 'Microsoft.KeyVault/vaults@{apiVersion}' = {
  name: kvName
  location: location
  tags: tags
  properties: {
    sku: { family: 'A', name: 'standard' }
    tenantId: subscription().tenantId
    enableRbacAuthorization: true          // RBAC, not access policies
    enableSoftDelete: true
    softDeleteRetentionInDays: 7
    networkAcls: { defaultAction: 'Allow', bypass: 'AzureServices' }
  }
}
Transport — HTTPS Only

All web-facing resources:

// App Service
httpsOnly: true
siteConfig: {
  minTlsVersion: '1.2'
}

// Storage
supportsHttpsTrafficOnly: true
allowBlobPublicAccess: false
minimumTlsVersion: 'TLS1_2'
App Service / Functions — Publishing Credential Lockdown

⛔ Every App Service and Functions app MUST include both basicPublishingCredentialsPolicies child resources. Missing these means deploy cannot toggle SCM auth post-deployment — the REST API call targets a resource that doesn't exist in ARM.

// SCM — allow: true for deploy phase (deploy re-disables via REST API after code upload)
resource scmAuth 'Microsoft.Web/sites/basicPublishingCredentialsPolicies@2023-12-01' = {
  parent: appService
  name: 'scm'
  properties: {
    allow: true
  }
}

// FTP — always disabled
resource ftpAuth 'Microsoft.Web/sites/basicPublishingCredentialsPolicies@2023-12-01' = {
  parent: appService
  name: 'ftp'
  properties: {
    allow: false
  }
}

Deploy lifecycle: Scaffold sets scm.allow: true so az webapp deploy works. After code upload + health check, deploy phase runs az rest --method put .../basicPublishingCredentialsPolicies/scm with allow: false to re-harden. If scaffold omits these resources, deploy's Step 7 SCM re-disable REST API call fails silently.

Cosmos DB — Data Plane RBAC

⛔ Cosmos DB uses its own role system — see rbac-roles.md § Cosmos DB for role IDs and behavioral rules. Do NOT use Microsoft.Authorization/roleAssignments for Cosmos data access.

RBAC — Deterministic Role Assignments

For the common roles GUID table, see rbac-roles.md.

resource roleAssignment 'Microsoft.Authorization/roleAssignments@2022-04-01' = {
  name: guid(scopeResourceId, principalId, roleDefinitionId)
  scope: targetResource
  properties: {
    roleDefinitionId: subscriptionResourceId('Microsoft.Authorization/roleDefinitions', roleDefinitionId)
    principalId: managedIdentity.properties.principalId
    principalType: 'ServicePrincipal'  // REQUIRED — prevents AAD graph lookup delays
  }
}

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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