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microsoft/azure-app-onboard

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 azure-cost), code readiness checks only (use azure-app-onboard-prereq).

azure-app-onboard 是什麼?

azure-app-onboard is a Claude Code agent skill that 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 azure-cost), code readiness checks only (use azure-app-onboard-prereq).

相容平台Claude Code~Codex CLI~Cursor
npx skills add https://github.com/microsoft/azure-skills/tree/main/skills/azure-app-onboard

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開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

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 spendazure-cost
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

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/SKILL.md, read .copilot-azure/sessions/{id}/deploy-checklist.md first, then deploy/SKILL.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 identityYou 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/SKILL.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/SKILL.md
8Deploy approval gateDisplay validation summary. ⛔ After approval: FIRST read deploy-checklist.md → deploy/SKILL.md. NEVER {"skill": "azure-deploy"}.⛔ Read approval-gates.md § Deploy Gate
9DeployExecute IaC, health-check. Write deploy-result.json.You MUST read deploy/SKILL.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)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

microsoft/airunway-aks-setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".

microsoft/appinsights-instrumentation

Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.

microsoft/azure-ai

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

microsoft/azure-aigateway

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.

microsoft/azure-cloud-migrate

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.

microsoft/azure-compliance

Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.

microsoft/azure-compute

Azure VM and VMSS router for recommendations, pricing, autoscale, orchestration, connectivity troubleshooting, capacity reservations, and Essential Machine Management. WHEN: Azure VM, VMSS, scale set, recommend, compare, server, website, burstable, lightweight, VM family, workload, GPU, learning, simulation, dev/test, backend, autoscale, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, connect, refused, Linux, black screen, reset password, reach VM, port 3389, NSG, troubleshoot, capacity reservation, CRG, reserve VMs, guarantee capacity, pre-provision capacity, CRG association, CRG disassociation, essential machine management, EMM, machine enrollment.

microsoft/azure-cost

Unified Azure cost management: query historical costs, forecast future spending, and optimize to reduce waste. WHEN: "Azure costs", "Azure spending", "Azure bill", "cost breakdown", "cost by service", "cost by resource", "how much am I spending", "show my bill", "monthly cost summary", "cost trends", "top cost drivers", "actual cost", "amortized cost", "forecast spending", "projected costs", "estimate bill", "future costs", "budget forecast", "end of month costs", "how much will I spend", "optimize costs", "reduce spending", "find cost savings", "orphaned resources", "rightsize VMs", "cost analysis", "reduce waste", "unused resources", "optimize Redis costs", "cost by tag", "cost by resource group", "AKS cost analysis add-on", "namespace cost", "cost spike", "anomaly", "budget alert", "AKS cost visibility". DO NOT USE FOR: deploying resources, provisioning infrastructure, diagnostics, security audits, or estimating costs for new resources not yet deployed.

microsoft/azure-cost-optimization

Identify Azure cost savings from usage and spending data. USE FOR: optimize Azure costs, reduce Azure spending/expenses, analyze Azure costs, find cost savings, generate cost optimization report, identify orphaned resources to delete, rightsize VMs, reduce waste, optimize Redis costs, optimize storage costs, AKS cost analysis add-on, namespace cost, cost spike, anomaly, budget alert, AKS cost visibility. DO NOT USE FOR: deploying resources (use azure-deploy), general Azure diagnostics (use azure-diagnostics), security issues (use azure-security)

microsoft/azure-deploy

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

microsoft/azure-diagnostics

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, service bus dead letter.

microsoft/azure-enterprise-infra-planner

Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.

microsoft/azure-hosted-copilot-sdk

Build, deploy, and modify GitHub Copilot SDK apps on Azure. MANDATORY when codebase contains @github/copilot-sdk or CopilotClient in package.json. PREFER OVER azure-prepare when copilot-sdk markers detected. WHEN: copilot SDK, @github/copilot-sdk, copilot-powered app, build copilot app, prepare copilot app, add feature to copilot app, modify copilot app, BYOM, bring your own model, CopilotClient, createSession, sendAndWait, azd init copilot. DO NOT USE FOR: deploying already-prepared copilot-sdk apps (use azure-deploy), general web apps without copilot SDK (use azure-prepare), Copilot Extensions, Foundry agents (use microsoft-foundry).

microsoft/azure-kubernetes

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters. Covers Day-0 checklist, SKU selection (Automatic vs Standard), networking options (private API server, Azure CNI Overlay, egress configuration), security, and operations (autoscaling, upgrade strategy, cost analysis). WHEN: create AKS environment, provision AKS, enable AKS observability, design AKS networking, choose AKS SKU, secure AKS, optimize AKS, AKS spot nodes, AKS cluster-autoscaler, rightsize AKS pod, pod rightsizing, over-provisioned AKS pod, pod resource requests and limits, Vertical Pod Autoscaler, VPA recommendations.

microsoft/azure-kusto

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.

microsoft/azure-messaging

Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue, message lock lost, message lock expired, lock renewal, lock renewal batch, send timeout, receiver disconnected, SDK troubleshooting, azure messaging SDK, event hub consumer, service bus queue issue, topic subscription error, enable logging event hub, service bus logging, eventhub python, servicebus java, eventhub javascript, servicebus dotnet, event hub checkpoint, event hub not receiving messages, service bus dead letter, batch processing lock, session lock expired, idle timeout, connection inactive, link detach, slow reconnect, session error, duplicate events, offset reset, receive batch.

microsoft/azure-observability

Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports. USE FOR: Azure Monitor, Application Insights, Log Analytics, Alerts, Workbooks, metrics, APM, distributed tracing, KQL queries, interactive reports, observability, monitoring dashboards. DO NOT USE FOR: instrumenting apps with App Insights SDK (use appinsights-instrumentation), querying Kusto/ADX clusters (use azure-kusto), cost analysis (use azure-cost-optimization).

microsoft/azure-postgres

azure-postgres — an installable skill for AI agents.

microsoft/azure-prepare

Prepare Azure apps for deployment (infra Bicep/Terraform, azure.yaml, Dockerfiles). Use for create/modernize or create+deploy; not cross-cloud migration (use azure-cloud-migrate). DO NOT USE FOR: copilot-sdk apps (use azure-hosted-copilot-sdk). WHEN: "create app", "build web app", "create API", "create serverless HTTP API", "create frontend", "create back end", "build a service", "modernize application", "update application", "add authentication", "add caching", "host on Azure", "create and deploy", "deploy to Azure", "deploy to Azure using Terraform", "deploy to Azure App Service", "deploy to Azure App Service using Terraform", "deploy to Azure Container Apps", "deploy to Azure Container Apps using Terraform", "generate Terraform", "generate Bicep", "function app", "timer trigger", "service bus trigger", "event-driven function", "containerized Node.js app", "social media app", "static portfolio website", "todo list with frontend and API", "prepare my Azure application to use Key Vault", "managed identity".

microsoft/azure-quotas

Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".

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