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Azure Kubernetes App Deploy

MicrosoftOfficialCreated by Microsoft

  • Skill
  • Tool integration
  • Cloud and DevOps
  • MIT
  • Low risk
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From the author

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.
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill streamlines the deployment of web applications and APIs to an existing Azure Kubernetes Service (AKS) cluster. It performs automated framework detection to identify the application stack, generates appropriate Dockerfiles and Kubernetes manifests, and validates the configuration against AKS Deployment Safeguards. The process includes verification steps to ensure the application is correctly deployed and configured for the target environment.

What it does

  • Detects application frameworks and sub-frameworks from project signal files.
  • Automatically generates Dockerfiles and Kubernetes manifests based on detected project requirements.
  • Validates configurations against AKS Deployment Safeguards (DS001–DS013).
  • Resolves base image tags using floating major versions to maintain security and stability.
  • Detects application ports and health endpoints to configure Kubernetes probes.
  • Provides recovery procedures for deployment failures.

When to use it

  • When you need to deploy an existing web application or API to an active AKS cluster.
  • When you need to containerize a project for Kubernetes deployment.
  • When you need to generate Kubernetes manifests tailored for Azure.
  • When your deployment is failing due to AKS Deployment Safeguard checks.
  • When setting up CI/CD pipelines for applications running on AKS.

Advantages

  • Reduces manual effort in creating container and orchestration configurations.
  • Ensures deployments adhere to established AKS Deployment Safeguards.
  • Maintains up-to-date base images through automated major version resolution.
  • Standardizes health probe and port configuration across different frameworks.

Usage examples

“Deploy my Express application to the existing AKS cluster.”
The agent detects the Node.js framework, generates a Dockerfile and Kubernetes manifests, validates them against AKS safeguards, and initiates the deployment.
“My Spring Boot app deployment is failing AKS safeguard checks.”
The agent analyzes the current configuration against the DS001-DS013 checklist to identify and resolve the specific safeguard violations.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/azure-kubernetes-app-deploy/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip azure-kubernetes-app-deploy.zip -d .agents/skills

Documentation by Microsoft

Deploy to AKS

Use when: deploying a web app/API to AKS; containerizing for Kubernetes; generating manifests; AKS CI/CD; DS001–DS013 failures.

Not for: provisioning clusters (azure-kubernetes), AKS Automatic readiness (azure-kubernetes-automatic-readiness), non-AKS targets.

Workflow

Requires: existing AKS cluster, az login, kubectl configured. Follow phases/quick-deploy.md. On failure: references/rollback.md.

References

Knowledge Packs

Load knowledge-packs/frameworks/<framework>.md per detected framework. Available: spring-boot, express, nextjs, fastapi, django, nestjs, aspnet-core, go, flask

Templates

templates/ (dockerfiles/, k8s/, github-actions/, mermaid/).

Files

references/rollback.md

Rollback Guidance

Recovery procedures for deployment failures. Referenced from Section 4 (Deploy).

Image Build Failed

# No cloud resources were persisted — nothing to roll back.
# Fix the issue and retry:

# Common fixes:
# - Dockerfile syntax error       → edit Dockerfile
# - Missing file in build context → check .dockerignore
# - Dependency install failure    → fix package.json / requirements.txt / go.mod

# Retry:
az acr build --registry <acr-name> --image <app-name>:<git-sha> .

kubectl apply Failed (Section 4 — Deploy to Cluster)

# Remove the partially applied resources:
kubectl delete -f k8s/

# Common fixes:
# - YAML syntax error      → validate with: kubectl apply -f k8s/ --dry-run=client
# - Invalid resource field  → check API version matches cluster version
# - Image pull error        → verify ACR name in deployment.yaml matches actual ACR
# - Namespace doesn't exist → create it first or remove namespace from manifests

# Fix and retry:
kubectl apply -f k8s/

Pods Not Starting (Section 5 — Verify)

# Diagnose:
kubectl get pods -l app=myapp
kubectl describe pod -l app=myapp
kubectl logs -l app=myapp --tail=50

# Common error patterns:

# CrashLoopBackOff — app crashes on startup
#   → Check logs for the crash reason
#   → Usually: missing env var, bad database connection string, port mismatch

# ImagePullBackOff — can't pull the container image
#   → Verify image name: kubectl get deployment myapp -o jsonpath='{.spec.template.spec.containers[0].image}'
#   → Verify ACR access: az aks check-acr --resource-group <rg> --name <aks> --acr <acr>.azurecr.io

# Pending — pod can't be scheduled
#   → Check node status: kubectl get nodes
#   → Check resource requests vs available capacity: kubectl describe nodes

# OOMKilled — app exceeded memory limit
#   → Increase memory limit in k8s/deployment.yaml and re-apply

# After fixing, re-apply:
kubectl apply -f k8s/
kubectl rollout status deployment/myapp --timeout=300s

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.

Security

What our scanner noticed· Low risk

  • Instructions that use the network

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-kubernetes/azure-kubernetes-app-deploy · commit 0696600
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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Also distributed in
microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-kubernetes-app-deploy.zip