Azure App Onboard
MicrosoftOfficialCreated by Microsoft
- Skill
- Workflow
- Cloud and DevOps
- MIT
- Low risk
- Has scripts
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://autogineer.com/agent-skills/microsoft/azure-app-onboard/downloadUnzip 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.mdat 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 readdeploy/PHASE.md, read.copilot-azure/sessions/{id}/deploy-checklist.mdfirst, thendeploy/PHASE.md. ⛔ NEVER invoke{"skill": "azure-deploy"}— that is a DIFFERENT skill for a DIFFERENT workflow.
⛔ Post-scaffold transition (MANDATORY): Immediately after
scaffold-manifest.jsonis 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. Confirmcontext.jsonhascompletedPhases: [...,"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/deploy-strategy.md
Deploy Strategy
Determine how application code will be deployed to Azure based on prereq scan results. The prepare phase writes deployStrategy to prepare-plan.json; scaffold encodes it in Bicep; deploy executes it.
Deployment Patterns
Three patterns — select based on prereq-output.json.components[].buildRequirements:
⛔ Dockerfile ≠ Container Apps. A Dockerfile that only serves static files (nginx, httpd,
COPY . /usr/share/nginx/html) is NOT a backend app. Route static-only Dockerfiles as static sites perservice-mapping.md § Static Dockerfile sites, not Pattern C.
| Pattern | When | deployStrategy needed? |
|---|---|---|
| A: Oryx auto-build | No native modules, no Dockerfile | Yes — startup command + app settings go in Bicep at scaffold time |
| B: Startup-install | Native modules detected (hasNativeModules: true) | Yes — startup command + fallback install + app settings in Bicep |
| C: Container-only | Has Dockerfile that runs a server process (Express, Flask, uvicorn, etc.) | No — route to Container Apps (Dockerfile IS the deploy strategy) |
Additional routing:
| Condition | Action |
|---|---|
Jib build plugin (Java + com.google.cloud.tools.jib) | Container-only via Jib push to ACR — no Dockerfile needed |
Pattern A: Oryx Auto-Build (Default)
Languages: Node.js, Python, .NET, Go, Java, PHP, Ruby
Oryx detects the stack from project manifests, installs dependencies, and builds automatically during zip deploy.
Still write deployStrategy to prepare-plan.json — even though Oryx auto-detects, the startup command and app settings MUST be in Bicep at scaffold time (not generated at deploy time). This eliminates imperative CLI commands during deploy.
"deployStrategy": {
"codeDeployPattern": "oryx-auto",
"requiredAppSettings": {
"SCM_DO_BUILD_DURING_DEPLOYMENT": "true",
"ENABLE_ORYX_BUILD": "true",
"ORYX_DISABLE_COMPRESSION": "true"
},
"reason": "Standard Oryx build — no native modules, no Dockerfile. Compression disabled to avoid startup extraction delays. No custom appCommandLine — Oryx launcher handles decompression + start."
} Read prereq-output.json.entryPoint for the app's start file — do NOT re-read manifests. Build the startup command from package.json start script (Node.js) or framework convention (Python gunicorn, .NET/Go/Java Oryx-native).
⛔ Do NOT set a custom
appCommandLinefor Pattern A. Let Oryx usepackage.jsonstartscript or framework defaults natively. A customappCommandLine(cd /home/site/wwwroot && node {entryPoint}) replaces the Oryx launcher entirely — the launcher handlesnode_modules.tar.gzdecompression, and bypassing it causesMODULE_NOT_FOUNDcrashes. Only setappCommandLinewheninitCommands[]hasrequired: trueentries (migrations).⛔ TypeScript projects: Verify
typescript+@types/*are independencies(notdevDependencies) — Oryx production mode skips devDeps, causingtscbuild failures.⛔ When
initCommands[]hasrequired: trueentries: SetstartupCommandto prepend migrations:"cd /home/site/wwwroot && {initCommand} && {framework-default-start}". Migrations are idempotent — safe on every cold start. Otherwise, omitstartupCommandentirely (let Oryx handle it).
Scaffold encodes startupCommand → Bicep appCommandLine, and requiredAppSettings → Bicep siteConfig.appSettings. Deploy only does: wait → zip → health check.
Pattern B: Startup-Install (Native Modules)
When native modules are detected, Oryx may fail to compile them. The startup-install pattern provides a two-layer safety net.
Two-Layer Strategy
Primary — Oryx zip build:
SCM_DO_BUILD_DURING_DEPLOYMENT=true+ENABLE_ORYX_BUILD=truetells Oryx to run dependency installation during the Kudu-side zip deploy. The Kudu build environment on App Service Linux hasgcc,make, and build tools available, so native compilation CAN succeed here.Fallback — startup-install command:
appCommandLineruns dependency installation on first container boot IF the dependency directory doesn't exist. The existence guard ensures it only runs when needed — subsequent restarts skip it because/homeis persistent storage.
Both layers are set in Bicep at scaffold time. The startup command is insurance — not the primary mechanism.
Why two layers?
az webapp deploy --type zipuses the OneDeploy API, which may not trigger Oryx even withSCM_DO_BUILD_DURING_DEPLOYMENT=true. The startup command catches this case. If Oryx DID build successfully, the guard skips the redundant install.
Deploy Strategy Schema
Write to prepare-plan.json.deployStrategy:
"deployStrategy": {
"codeDeployPattern": "startup-install",
"startupCommand": "cd /home/site/wwwroot && if [ ! -d node_modules ]; then npm install --production; fi && node index.js",
"requiredAppSettings": {
"WEBSITES_CONTAINER_START_TIME_LIMIT": "1800",
"SCM_DO_BUILD_DURING_DEPLOYMENT": "true",
"ENABLE_ORYX_BUILD": "true",
"ORYX_DISABLE_COMPRESSION": "true"
},
"reason": "Native module (better-sqlite3 via node-gyp) requires server-side npm install."
}Replace startupCommand and reason with language-specific values from the entry point table below.
Entry Point & Startup Commands
Same as Pattern A, but Node.js adds a dependency guard: if [ ! -d node_modules ]; then npm install --production; fi before the start command.
⛔ Inline commands only. Never generate a
.shstartup script file — CRLF causesbashexit code 2. ⛔ Python: do NOT usevenvin startup commands.
SKU Implications
When f1Viable: false (any of: native modules, TypeScript build, large deps, WSGI/ASGI server), F1 is not viable — use B1 (~$13/mo) minimum. Surface at approval gate: "⚠️ {f1BlockReason}. B1 minimum required."
Container Timeout
WEBSITES_CONTAINER_START_TIME_LIMIT controls how long Azure waits for the container to start responding.
| Value | Use case |
|---|---|
| 230 (default) | Standard apps, no native compilation |
| 1800 (max) | Startup-install — native compilation takes 2-5 min. Python with scipy/scikit-learn can take longer |
Always set to 1800 when codeDeployPattern == "startup-install".
Pattern C: Container-Only
When the component has a Dockerfile with backend logic, route to Container Apps. The Dockerfile IS the deploy strategy — no deployStrategy needed in prepare-plan.json.
The deploy phase handles: ACR build → image push → Bicep redeploy with real image. See code-deployment-container-apps.md.
For Java apps using Jib (build.gradle + com.google.cloud.tools.jib), the build produces a container image without a Dockerfile — push to ACR via jib task.
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
- Also distributed in
- microsoft/azure-skills
AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.
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