Execute Azure deployments for prepared applications with built-in error recovery and validation.
Works with
Requires .azure/plan.md with Validated status from azure-validate and azure-prepare skills; will not proceed without both prerequisites
Executes azd up , azd deploy , terraform apply , and az deployment commands with error handling and post-deployment verification
Includes pre-deploy checklist, recipe-based deployment workflows, and post-deploy configuration for SQL managed identity and E
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-deployExecute the skills CLI command in your project's root directory to begin installation:
Fetches azure-deploy from microsoft/azure-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate azure-deploy. Access via /azure-deploy in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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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 | Execute Deploy — Follow recipe steps. For Container Apps with managed identity + ACR, watch for RBAC propagation delays (see Container App Revision Timeout) | Recipe README |
| 5 | Post-Deploy — Configure SQL managed identity and apply EF migrations if applicable | Post-Deployment |
| 6 | Handle Errors — See recipe's errors.md |
— |
| 7 | Verify Success — Confirm deployment completed and endpoints are accessible | Verification |
| 8 | Live Role Verification — Query Azure to confirm provisioned RBAC roles are correct and sufficient | live-role-verification.md |
| 9 | 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 8) |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
microsoft/azure-skills
microsoft/azure-skills
microsoft/GitHub-Copilot-for-Azure
microsoft/GitHub-Copilot-for-Azure
supercent-io/skills-template
github/awesome-copilot
I recommend azure-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in azure-deploy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
azure-deploy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
azure-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: azure-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
azure-deploy has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend azure-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: azure-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
azure-deploy has been reliable in day-to-day use. Documentation quality is above average for community skills.
azure-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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