.github/plugins/azure-skills/skills/azure-deploy/SKILL.md
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.
npx skillsauth add microsoft/skills azure-deployInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE
PREREQUISITE: The azure-validate skill MUST be invoked and completed with status
ValidatedBEFORE executing this skill.
⛔ STOP — PREREQUISITE CHECK REQUIRED Before proceeding, verify BOTH prerequisites are met:
- azure-prepare was invoked and completed →
.azure/deployment-plan.mdexists- azure-validate was invoked and passed → plan status =
ValidatedIf EITHER is missing, STOP IMMEDIATELY:
- No plan? → Invoke azure-prepare skill first
- Status not
Validated? → Invoke azure-validate skill first⛔ DO NOT MANUALLY UPDATE THE PLAN STATUS
You are FORBIDDEN from changing the plan status to
Validatedyourself. Only the azure-validate skill is authorized to set this status after running actual validation checks. If you update the status without running validation, deployments will fail.DO NOT ASSUME the app is ready. DO NOT SKIP validation to save time. Skipping steps causes deployment failures. The complete workflow ensures success:
azure-prepare→azure-validate→azure-deploy
Activate this skill when user wants to:
azd up, azd deploy, or az deployment on a prepared projectScope: This skill executes deployments. It does not create applications, generate infrastructure code, or scaffold projects. For those tasks, use azure-prepare.
APIM / AI Gateway: Use this skill to deploy applications whose APIM/AI gateway infrastructure was already created during azure-prepare. For creating or changing APIM resources, see APIM deployment guide. For AI governance policies, invoke azure-aigateway skill.
.azure/deployment-plan.md must exist with status Validatedask_user — global-rulesazd up, azd deploy, terraform apply, and az deployment commands. These commands are run through this skill's error recovery and verification pipeline.| # | Action | Reference |
|---|--------|-----------|
| 1 | Check Plan — Read .azure/deployment-plan.md, verify status = Validated AND Validation Proof section is populated | .azure/deployment-plan.md |
| 2 | Pre-Deploy Checklist — MUST complete ALL steps | Pre-Deploy Checklist |
| 3 | Load Recipe — Based on recipe.type in .azure/deployment-plan.md | recipes/README.md |
| 4 | RBAC Health Check — For Container Apps + ACR with managed identity: run azd provision --no-prompt, then verify AcrPull role has propagated before proceeding (see checklist) | Pre-Deploy Checklist — Container Apps RBAC |
| 5 | Execute Deploy — Follow recipe steps | Recipe README |
| 6 | Post-Deploy — Configure SQL managed identity and apply EF migrations if applicable | Post-Deployment |
| 7 | Handle Errors — See recipe's errors.md | — |
| 8 | Verify Success — Confirm deployment completed and endpoints are accessible | Verification |
| 9 | Live Role Verification — Query Azure to confirm provisioned RBAC roles are correct and sufficient | live-role-verification.md |
| 10 | Report Results — Present deployed endpoint URLs to the user as fully-qualified https:// links | Verification |
⛔ URL FORMAT RULE
When presenting endpoint URLs to the user, you MUST always use fully-qualified URLs with the
https://scheme (e.g.https://myapp.azurewebsites.net, notmyapp.azurewebsites.net). Many Azure CLI commands return bare hostnames without a scheme — always prependhttps://before presenting them.
⛔ VALIDATION PROOF CHECK
When checking the plan, verify the Validation Proof section (Section 7) contains actual validation results with commands run and timestamps. If this section is empty, validation was bypassed — invoke azure-validate skill first.
| Tool | Purpose |
|------|---------|
| mcp_azure_mcp_subscription_list | List available subscriptions |
| mcp_azure_mcp_group_list | List resource groups in subscription |
| mcp_azure_mcp_azd | Execute AZD commands |
| azure__role | List role assignments for live RBAC verification (step 9) |
tools
KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph). USE THIS SKILL whenever writing, debugging, or reviewing KQL queries — even simple ones — because the gotchas section prevents the most common errors that waste tool calls and cause expensive retry cascades. Trigger on: KQL, Kusto, ADX, Azure Data Explorer, Fabric Real-Time Intelligence, EventHouse, Log Analytics, log analysis, data exploration, time series, anomaly detection, summarize, where clause, join, extend, project, let statement, parse operator, extract function, any mention of pipe-forward query syntax.
development
Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
testing
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.
testing
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".