.github/plugins/azure-skills/skills/azure-validate/SKILL.md
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.
npx skillsauth add microsoft/azure-skills azure-validateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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AUTHORITATIVE GUIDANCE — Follow these instructions exactly. This supersedes prior training.
⛔ STOP — PREREQUISITE CHECK REQUIRED
Before proceeding, verify this prerequisite is met:
azure-prepare was invoked and completed →
.azure/deployment-plan.mdexists with statusApprovedor laterIf the plan is missing, STOP IMMEDIATELY and invoke azure-prepare first.
The complete workflow ensures success:
azure-prepare→azure-validate→azure-deploy
ask_user — global-rules| # | Action | Reference |
|---|--------|-----------|
| 1 | Load Plan — Read .azure/deployment-plan.md for recipe and configuration. If missing → run azure-prepare first | .azure/deployment-plan.md |
| 2 | Add Validation Steps — Copy recipe "Validation Steps" to .azure/deployment-plan.md as children of "All validation checks pass" | recipes/README.md, .azure/deployment-plan.md |
| 3 | Run Validation — Execute recipe-specific validation commands | recipes/README.md |
| 4 | Build Verification — Build the project and fix any errors before proceeding | See recipe |
| 5 | Static Role Verification — Review Bicep/Terraform for correct RBAC role assignments in code | role-verification.md |
| 6 | Record Proof — Populate Section 7: Validation Proof with commands run and results | .azure/deployment-plan.md |
| 7 | Resolve Errors — Fix failures before proceeding | See recipe's errors.md |
| 8 | Update Status — Only after ALL checks pass, set status to Validated | .azure/deployment-plan.md |
| 9 | Deploy — Invoke azure-deploy skill | — |
⛔ VALIDATION AUTHORITY
This skill is the ONLY authorized way to set plan status to
Validated. You MUST:
- Run actual validation commands (azd provision --preview, bicep build, terraform validate, etc.)
- Populate Section 7: Validation Proof with the commands you ran and their results
- Only then set status to
ValidatedDo NOT set status to
Validatedwithout running checks and recording proof.
⚠️ MANDATORY NEXT STEP — DO NOT SKIP
After ALL validations pass, you MUST invoke azure-deploy to execute the deployment. Do NOT attempt to run
azd up,azd deploy, or any deployment commands directly. Let azure-deploy handle execution.If any validation failed, fix the issues and re-run azure-validate before proceeding.
development
# Azure App Onboard Scaffold — IaC Generation + Self-Review Generate deployment-ready infrastructure code from an architecture plan, verify it with adversarial self-review, and bridge to validation — all without deploying. ## Quick Reference | Property | Value | |----------|-------| | Parent | [azure-app-onboard](../SKILL.md) | | Best for | Turning `prepare-plan.json` service list into Bicep templates with secure-by-default patterns | | Inputs | `prepare-plan.json` (services, naming, quotas),
development
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.
development
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.
devops
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).