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

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/microsoft/azure-app-onboard/download

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

Property	Value
Best for	Developers who know what to build but not which Azure services to use
Inputs	Business idea or existing codebase, budget/scale preferences (optional)
Outputs	Architecture plan, cost estimate, IaC files, deployed Azure resources
Phases	Discover → 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

Scenario	Use Instead
Run `azd up` or execute an existing deployment	`azure-deploy`
Optimize existing Azure spend	`cost-optimization` from the optional `azure-cost` plugin
Generate Bicep/Terraform for a known architecture	`azure-prepare`
Validate infrastructure or run preflight checks	`azure-validate`
Troubleshoot a running Azure deployment	`azure-diagnostics`
Deploy to or manage AKS/Kubernetes directly	`azure-kubernetes`
Look up or list existing Azure resources	`azure-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.

#	Step	Action	Reference
1	Session check + Azure login	Create/resume session, verify Azure CLI auth, resolve subscription + user identity	⛔ You MUST read session-protocol.md
2	Scope triage	Check azd markers, triage question. Empty workspace or code-only (no infra) → Step 3 directly.	⛔ Read intent-gathering.md § Scope Triage
3	Prereq 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.
4	Gather intent	Present prereq results, confirm stack + Azure services, ask remaining questions.	⛔ Read intent-gathering.md § After Prereq Returns
5	Plan architecture	Write `prepare-plan.json`.	⛔ You MUST read prepare/PHASE.md
6	Scaffold approval gate	Display plan for user approval BEFORE generating any files.	⛔ Read approval-gates.md § Scaffold Gate
7	Scaffold	Generate IaC, self-review. Write `scaffold-manifest.json`. Update `context.json`.	⛔ You MUST read scaffold/PHASE.md
8	Deploy approval gate	Display validation summary. ⛔ After approval: FIRST read deploy-checklist.md → deploy/PHASE.md. NEVER `{"skill": "azure-deploy"}`.	⛔ Read approval-gates.md § Deploy Gate
9	Deploy	Execute IaC, health-check. Write `deploy-result.json`.	⛔ You MUST read deploy/PHASE.md
10	Handoff	Surface deployment identity, cleanup commands, next steps.	⛔ You MUST read `handoff-protocol.md`

Error Handling

Error	Remediation
Phase fails	Halt, report phase + error. User decides: retry, skip, abort.
MCP server unavailable	Skip affected checks, add disclaimer to `costEstimate.assumptions[]` and every approval gate.
Missing RBAC	Report required role + `az role assignment` command.

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

Files

ATTRIBUTION.mdAdded by AutoGineer983 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md6.6 KiB
deploy/PHASE.md7.5 KiB
deploy/references/approval-gate-template.md2.9 KiB
deploy/references/blocked-patterns.md5.7 KiB
deploy/references/code-deployment-appservice.md4.6 KiB
deploy/references/code-deployment-container-apps.md8.4 KiB
deploy/references/code-deployment-swa.md5.7 KiB
deploy/references/database-post-deploy.md4.5 KiB
deploy/references/deploy-checklist-template.md10.1 KiB
deploy/references/deploy-safety.md4.5 KiB
deploy/references/deploy-schemas.tsScript3.5 KiB
deploy/references/error-classification.md3.6 KiB
deploy/references/health-check-patterns.md5.5 KiB
deploy/references/mcp-tools.md5.5 KiB
deploy/references/portal-links.md3.1 KiB
deploy/references/preflight-checks.md4.4 KiB
deploy/references/subagent-preflight.md5.1 KiB
prepare/PHASE.md6.4 KiB
prepare/references/deploy-strategy.md6.8 KiB
prepare/references/mcp-tools.md5.6 KiB
prepare/references/naming-patterns.md4.6 KiB
prepare/references/prepare-schemas.tsScript7.0 KiB
prepare/references/pricing-guide-services.md8.4 KiB
prepare/references/pricing-guide.md4.0 KiB
prepare/references/service-mapping.md8.5 KiB
prepare/references/sku-matrix.md3.2 KiB
prepare/references/sku-quota-validation.md9.0 KiB
prepare/references/subagent-pricing.md2.5 KiB
prepare/references/subagent-quota.md3.5 KiB
prepare/references/validation-rubric.md2.3 KiB
references/approval-gates.md8.4 KiB
references/azd-template-routing.md4.7 KiB
references/handoff-protocol.md7.8 KiB
references/iac-resources.md2.6 KiB
references/intent-gathering.md2.2 KiB
references/mcp-tool-reference.md3.7 KiB
references/pipeline-rules-runtime.md3.5 KiB
references/pipeline-rules.md6.3 KiB
references/session-protocol.md8.0 KiB
references/session-schemas.tsScript5.2 KiB
references/subscription-resolution.md2.1 KiB
scaffold/PHASE.md14.2 KiB
scaffold/references/bicep-app-service.md5.4 KiB
scaffold/references/bicep-container-apps.md9.3 KiB
scaffold/references/bicep-patterns-data.md4.0 KiB
scaffold/references/bicep-patterns-security.md7.8 KiB
scaffold/references/bicep-patterns.md6.8 KiB
scaffold/references/bicep-swa.md757 B
scaffold/references/cicd-pipelines.md325 B
scaffold/references/dockerfile-generation.md4.1 KiB
scaffold/references/env-var-secrets.md4.1 KiB
scaffold/references/error-handling.md1.5 KiB
scaffold/references/iac-generation-rules.md6.6 KiB
scaffold/references/mcp-tools.md7.0 KiB
scaffold/references/rbac-roles.md3.8 KiB
scaffold/references/scaffold-healing-rules.md3.3 KiB
scaffold/references/scaffold-schemas.tsScript3.5 KiB
scaffold/references/self-healing.md2.3 KiB
scaffold/references/self-review-checklist.md9.0 KiB
scaffold/references/self-review-procedure.md2.3 KiB
scaffold/references/subagent-iac-gen.md9.5 KiB
scaffold/references/subagent-review.md3.5 KiB
scaffold/references/subagent-validate.md7.2 KiB
scaffold/references/terraform-patterns.md6.9 KiB
scaffold/references/validation-and-manifest.md5.1 KiB
scaffold/references/waf-checklist.md2.3 KiB
scaffold/scripts/scaffold-conformance.ps1Script12.8 KiB
scaffold/scripts/scaffold-conformance.shScript13.8 KiB

prepare/references/pricing-guide.md

App Onboard Prepare — Pricing Guide

⛔ SELF-CHECK: If costEstimate.breakdown[] has ANY monthlyUsd > 0, at least one pricing_get or az rest pricing API call MUST appear in this session. Estimating from memory or training data is NEVER acceptable — reference values in this file may be outdated. If API fails after 2 attempts, use the reference value WITH disclaimer: "⚠️ Estimated from reference — live API unavailable."

Free-Tier Shortcut — Skip API

⛔ Check this FIRST. If ALL services use free-tier SKUs → write $0 cost estimate, add disclaimer "Estimate assumes usage within free grant limits", skip to Step 7.

Service	Free SKU	Skip API?
App Service	F1	Yes
Static Web Apps	Free	Yes
Functions	Consumption (≤1M exec)	Yes
Cosmos DB	Free tier (1000 RU/s)	Yes
Container Apps	Consumption (≤180K vCPU-s)	Yes

App Service Quick Reference

SKU	`skuName`	Monthly
B1 Linux	`B1`	~$13.14

⛔ Case-sensitive: use B1 not b1. Use skuName (not armSkuName) for Basic/Standard.

How to Use

Pick SKU from sku-matrix.md based on budget intent.
Find service section in pricing-guide-services.md for filter strings and formulas.
Call the pricing router — tool mcp_azure_mcp_pricing (VS Code) / azure-pricing (CLI) — with intent, command: "pricing_get", and a parameters object (NOT --flags). Parallel OK. ⛔ At least one filter inside parameters: sku, service, region, service-family, or filter. ⛔ sku matches armSkuName, not skuName — use it ONLY when armSkuName is populated (App Service, MySQL/PostgreSQL, Redis). Empty-armSkuName services (ACR, Storage, Cosmos, Key Vault) return [] or 400 for sku/service — use a raw filter on serviceName + meterName instead.
Apply the monthly multiplier from each meter's unitOfMeasure (see § Monthly Multiplier) — NOT a per-service constant.
Cross-check returned retailPrice against planned SKU.

Monthly Multiplier — by Meter Unit

⛔ Read unitOfMeasure per price record — NEVER blanket × 730 (one service mixes units, e.g. ACR returns 1/Day + 1 Second + 1 GB/Month):

`unitOfMeasure`	Monthly formula
`1 Hour` / `1/Hour`	`retailPrice × 730`
`1/Day` / `1 Day`	`retailPrice × 30`
`1 GB/Month`	`retailPrice × estimatedGB` (already monthly)
`1 Second` / `1 GiB Second`	`retailPrice × activeUnitsPerMonth` (usage-based)
`10K` / `1M` operations	`retailPrice × estimatedOps ÷ unitSize`

Usage-Based Services

When AI/OpenAI/LLM components detected: add "💸 Usage-based — excluded from total" to costEstimate.breakdown[] and "⚠️🤖 AI inference costs excluded" to assumptions[]. Surface at EVERY approval gate.

Service Pricing Reference

See pricing-guide-services.md for per-service filter strings, meter names, and monthly formulas.

Key rules:

armSkuName is empty for most PaaS — filter by meterName or productName
Monthly multiplier: read unitOfMeasure (§ Monthly Multiplier) — never assume ×730
Functions Consumption / Static Web Apps: not in API
Default isPrimaryMeterRegion eq true + priceType eq 'Consumption' — but check the service section in pricing-guide-services.md first; some drop isPrimaryMeterRegion (Service Bus, Cosmos 100 RU/s, Redis Basic).
Service names are case-sensitive

Troubleshooting

When pricing_get returns empty: (1) Check armSkuName populated/case-sensitive? (2) HTTP fallback: https://prices.azure.com/api/retail/prices?$filter={filter}. (3) After 2 failures, use pricing-guide-services.md with disclaimer. (4) Log to costEstimate.apiFailures[].

⛔ Never claim user has free credits remaining. Use: "Check balance at portal."

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

2026-11-08

Also distributed in

microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-app-onboard.zip

From the author

AutoGineer summary

What it does

When to use it

Advantages

Usage examples

Install

Documentation by Microsoft

Azure App Onboard

Quick Reference

When to Use This Skill

When NOT to Use

Pipeline Rules

Workflow

Error Handling

Files

prepare/references/pricing-guide.md

App Onboard Prepare — Pricing Guide

Free-Tier Shortcut — Skip API

App Service Quick Reference

How to Use

Monthly Multiplier — by Meter Unit

Usage-Based Services

Service Pricing Reference

Troubleshooting

Requirements and compatibility

Security

Attribution and licence

Related skills

Shipping And Launch

Quantized Export

Deployment Pipeline Design

Gitops Workflow

Spark Environment Setup

Cloud Infrastructure Deployment Engineer

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