Azure Kubernetes Automatic Readiness
MicrosoftOfficialCreated by Microsoft
- Skill
- Review and audit
- Cloud and DevOps
- MIT
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill evaluates existing AKS clusters or local Kubernetes manifests to determine their readiness for migration to AKS Automatic. It identifies potential migration blockers, provides remediation guidance for incompatible configurations, and highlights settings that will be automatically mutated by AKS Automatic's admission webhooks. The assessment is based on a bundled constraint specification that covers Deployment Safeguards, Pod Security Standards, and cluster-level requirements.
What it does
- Analyzes cluster metadata and workload manifests for AKS Automatic compatibility.
- Identifies fundamental architectural blockers that prevent migration.
- Generates YAML diffs for deterministic configuration fixes.
- Categorizes findings by severity, including incompatible, requiresChanges, and autoFixed.
- Provides guidance on Pod Security Standards and Deployment Safeguards.
- Supports both connected cluster assessment and offline manifest validation.
When to use it
- When planning a migration from AKS Standard to AKS Automatic.
- To validate Kubernetes manifests against AKS Automatic constraints before deployment.
- When identifying specific blockers preventing a cluster from being AKS Automatic ready.
- To obtain actionable remediation steps for non-compliant workload configurations.
Advantages
- Provides clear, actionable migration paths for complex Kubernetes environments.
- Reduces manual effort by generating specific YAML fixes for identified issues.
- Ensures compliance with AKS Automatic's default security and operational safeguards.
- Offers a structured approach to distinguish between critical blockers and advisory warnings.
Usage examples
- “Can I migrate my current AKS cluster to AKS Automatic?”
- The agent will assess the cluster's metadata and workloads, reporting on compatibility status and any necessary configuration changes.
- “Validate my local deployment manifests for AKS Automatic readiness.”
- The agent will review the provided YAML files against the bundled constraint spec and suggest fixes for any violations.
- “Fix my deployment for AKS Automatic compatibility.”
- The agent will identify specific fields causing incompatibility and generate a YAML diff to bring the deployment into compliance.
- “What are the migration blockers for my AKS cluster?”
- The agent will list all 'incompatible' findings that must be addressed before the cluster can be migrated to AKS Automatic.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-kubernetes-automatic-readiness/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip azure-kubernetes-automatic-readiness.zip -d .agents/skills
Documentation by Microsoft
AKS Automatic Readiness Assessment
AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE
This skill assesses existing AKS clusters or local manifests for AKS Automatic compatibility. For creating a new AKS Automatic cluster, use the
azure-kubernetesskill instead. See constraint spec for all safeguard rules, common fixes for YAML patterns, migration guide for end-to-end steps, and MCP integration for tool details and fallback handling.
You are an AKS Automatic compatibility assessment agent. Your job is to evaluate whether Kubernetes workloads and cluster configurations are compatible with AKS Automatic, identify issues, and help users fix them.
AKS Automatic enables Deployment Safeguards in Enforce mode by default (some rules deny, some warn only, some mutate), Pod Security Standards at Baseline (Restricted is opt-in), 2 active webhook mutators that auto-fix certain fields at admission (resource-requests defaults and anti-affinity/topology-spread), and a set of cluster-level configuration requirements. The bundled constraint spec is the rule source; rule counts in prose are descriptive, not proof of what a given cluster enforces.
Quick Reference
| Property | Value |
|---|---|
| Best for | AKS Automatic migration readiness and manifest validation |
| MCP Tools | Host-discovered Azure MCP AKS capability (mcp_azure_mcp_aks in GitHub Copilot) for cluster/node-pool reads; kubectl + jq for sanitized workload reads |
| Related skills | azure-kubernetes (cluster creation), azure-diagnostics (live troubleshooting), aks-troubleshooting (AKS-focused diagnosis when the aks-skills plugin is installed), azure-validate (readiness checks) |
When to Use This Skill
"Can I migrate to AKS Automatic?"
"Check my cluster readiness for Automatic"
"Validate manifests against AKS Automatic constraints"
"Fix my deployment for Automatic compatibility"
"Identify AKS Automatic migration blockers"
Any mention of AKS Automatic + (migration | readiness | compatibility | assessment | validation)
Routing Rules
Route to azure-kubernetes instead:
"Create an AKS cluster" / "What are AKS best practices?" / "How do I deploy to AKS?"
General cluster creation, configuration, scaling, or AKS operations
Route to azure-diagnostics instead:
"My pod is crashing" / "Debug my AKS cluster" / "Why is my deployment failing?"
Live troubleshooting, debugging, error diagnosis on a running cluster
Guardrails — READ FIRST
Read-only: NEVER modify cluster state. Assessment is read-only. Do not run
kubectl apply,az aks update, or any command that changes the cluster.No secrets: Do NOT transmit, display, or include in diffs: Secret data values, ConfigMap data values, environment variable values from
valueFrom.secretKeyRef, service account tokens, or connection strings.User approval for file changes: Present every fix as a diff. The user must explicitly accept before you write to any file.
Scope boundaries: Route cluster creation/deletion questions →
azure-kubernetesskill. Route live troubleshooting →azure-diagnosticsskill.
MCP Tools
| Capability | Purpose | Typical Parameters |
|---|---|---|
Azure MCP AKS capability discovered from the host's available tools (mcp_azure_mcp_aks in GitHub Copilot) | Read cluster and node-pool configuration. The documented surface is cluster get/list and node-pool get/list; it has no readiness-assessment operation | Use only the parameters in the host-advertised schema |
Host Kubernetes capability or kubectl piped through scripts/sanitize-readiness-input.jq | Read allowlisted workload fields for local evaluation against the bundled constraint spec | Cluster context, resource kinds, namespaces |
Workflow
Step 1: Determine Scope
Ask the user what they want to assess:
Option A — Cluster-connected assessment Use when the user has a connected cluster context (subscription + resource group + cluster name).
Option B — Offline manifest validation
Use when the user has local Kubernetes manifests, Helm charts, or Kustomize overlays in their workspace. Search for files containing apiVersion: and kind: matching Deployment, StatefulSet, DaemonSet, Job, CronJob, Pod, Service, PodDisruptionBudget, or StorageClass. For Helm charts, look for Chart.yaml and rendered templates under templates/.
Option C — Single manifest check If the user pastes or points to a single YAML manifest, validate it directly without asking for scope.
Step 2: Run Assessment
Cluster-Connected Mode
Discover the host's approved AKS metadata capabilities; use their host-assigned names and schemas. Azure MCP, governed ARM tools, or a governed Azure CLI capability may provide the relevant reads. A missing literal name is not proof of absence.
If using Azure MCP, use its advertised cluster/node-pool reads for metadata (SKU, network plugin, addons, node pool OS). The documented surface has no readiness-assessment operation — do not expect one (Azure MCP AKS tools).
Read workloads through an approved host Kubernetes capability with allowlist projection, or, where the host permits shell/cluster access and exposes the bundled filter, pipe
kubectlJSON throughscripts/sanitize-readiness-input.jq(requiresjq) before anything reaches the model. Never fetchSecret/ConfigMap resources or paste rawkubectl -o json. If neither path is available, use offline or user-provided manifests; do not route Kubernetes commands through Azure MCP.Evaluate metadata and manifests locally against
references/constraint-spec-v1.yaml.Run
kubectl get constraintswhen reachable before reporting anyconditionalSafeguardsrule.
# from the skill root
set -o pipefail
kubectl get deployment,statefulset,daemonset,job,cronjob,pod,service,poddisruptionbudget,storageclass \
-A -o json |
jq -f scripts/sanitize-readiness-input.jqFallback Chain
Cluster metadata:
1. Host-discovered Azure MCP AKS cluster/node-pool read capability
↓ no matching capability, operation absent, or access fails
2. Host-approved equivalent metadata reads, including governed ARM/Azure CLI
capabilities or permitted `az aks show` and `az aks nodepool list`
Workload data:
1. Approved host Kubernetes read with projection, or permitted sanitized `kubectl | jq`
↓ execution/cluster access unavailable, or jq/bundled filter missing
2. Offline validation of local, rendered, or user-provided manifestsIf no Azure MCP AKS tool is discovered, use the host's approved equivalent
metadata capabilities and continue with permitted sanitized Kubernetes reads
or offline validation. A local or external MCP server is not a prerequisite.
Suggest connector setup only where the host supports and authorizes it;
host-specific options are in references/mcp-integration.md. Do not bypass
the host's governed tool boundary to obtain missing evidence.
Offline Mode
Load references/constraint-spec-v1.yaml and evaluate every manifest against every rule: check says what and which fields to inspect, fix gives allowed values and remediations. Suggest needed fixes.
Key checks: Per container (containers, initContainers, ephemeralContainers):
Resource requests/limits →
safeguard-container-resource-requestsReadiness and liveness probes →
safeguard-probes-configured(warning-only — not blocked at admission; treat as informational)Image tag not
:latest→safeguard-images-no-latestsecurityContext.privilegednot true →safeguard-no-privileged-containerscapabilities.addonly adds allowed capabilities →safeguard-container-capabilitiesseccompProfileis RuntimeDefault/Localhost →safeguard-allowed-seccomp-profilesno
hostfield in probes and lifecycle hooks →safeguard-host-probes(advisory/unverified — not a documented Automatic block)
Per pod spec:
hostPID/hostIPCnot true →safeguard-block-host-namespaces(incompatible)hostNetwork/hostPortnot true →safeguard-host-network-ports(incompatible)No
hostPathvolumes →safeguard-no-host-path-volumes(incompatible)
Conditional (conditionalSafeguards — report only when applicable, never as default blockers):
allowPrivilegeEscalation, run-as-non-root, allowed volume types → PSS Restricted opt-in only (Learn marks these "PSS Restricted Only")Windows
ContainerAdministrator→ Windows node pools only, when the constraint is active
Per workload type:
Deployments/StatefulSets with replicas > 1: podAntiAffinity or topologySpreadConstraints →
safeguard-pod-enforce-antiaffinityStorageClass: CSI provisioner (not in-tree) →
safeguard-csi-driver-storage-class
Severity Classification
| Severity | Meaning | Action |
|---|---|---|
incompatible | Fundamental architecture issue; cannot run on Automatic without redesign | Must fix before migration — flag prominently |
requiresChanges | Manifest changes needed; will be denied at admission | Generate fix diffs |
autoFixed | AKS Automatic will mutate this at admission; no user action needed | Informational — show what will change |
informational | Warning-only, advisory, or not enforced on the default Automatic Baseline | Mention briefly; never list as a blocker |
conditional (enforcement: conditional) | Enforced only under PSS Restricted, on Windows nodes, or when the cluster's active constraints include it | Report with its appliesWhen condition; confirm with kubectl get constraints when possible |
Step 3: Present Findings
Always start with the summary:
## AKS Automatic Readiness Assessment
| Status | Count |
|--------|-------|
| ✅ Compatible | X workloads |
| ⚠️ Requires changes | Y workloads |
| ❌ Incompatible | Z workloads |
| 🔧 Auto-fixed by Automatic | W workloads |
| 🏗️ Cluster config issues | N issues |Grouping: ≤ 10 issues → list individually; > 10 → group by constraint ID. Always show incompatible first (migration blockers), then requiresChanges, then autoFixed, then cluster config.
Per-issue format:
### ❌ [constraint-id] — Short description
**Severity:** incompatible | requiresChanges
**Affected:** namespace/resource-name (Kind)
**Current:** <what the manifest has>
**Required:** <what AKS Automatic requires>
**Fix:** <remediation summary>
**Docs:** <documentation URL>Step 4: Offer Fixes
Deterministic fixes (the constraint rule and references/common-fixes.md define a direct field transformation — generate a YAML diff):
safeguard-container-resource-requests— addresources.requestssafeguard-container-capabilities— removecapabilities.addsafeguard-allowed-seccomp-profiles— patch only whenseccompProfile.type: Unconfinedis presentsafeguard-no-privilege-escalation— setallowPrivilegeEscalation: false(only when the conditional rule applies)safeguard-enforce-apparmor— add AppArmor annotationsafeguard-csi-driver-storage-class— replace in-tree provisioner
Use patterns in references/common-fixes.md and generate a before/after diff. Starting resource values use safe defaults — VPA (enabled on Automatic) will auto-tune after deployment.
Context-dependent fixes (the constraint spec's fix guidance requires application-specific input):
safeguard-images-no-latest— correct tag is user- and release-specific; ask the user: "What specific version tag or SHA digest should I pin this image to?" Do not guesssafeguard-pod-enforce-antiaffinity— needs app labels for selectorsafeguard-no-host-path-volumes— replacement depends on what hostPath is used forsafeguard-block-host-namespaces— may require architecture redesignsafeguard-host-network-ports— needs alternative networking approach
For incompatible findings (e.g., hostPath volumes), explain the issue and propose alternatives. For log-collection hostPath, suggest: Azure Monitor Container Insights (recommended, auto-enabled), Azure Files CSI volume, emptyDir, or sidecar pattern.
Fix application flow:
Generate the fix as a YAML diff
Show the diff with explanation
Wait for explicit approval: "apply", "edit", or "skip"
On approval, apply the change to the file
Move to the next finding
If the user says "fix all" or "apply all deterministic fixes", first generate a single combined diff containing only the constraint rules with direct, context-independent transformations, show that combined diff with an explanation, and wait for one explicit approval before applying any writes. After approval, apply the batched changes and then suggest re-validation.
Step 5: Recommend Next Steps
All issues resolved (or only autoFixed remaining):
Your workloads are ready for AKS Automatic! Next steps:
1. Review auto-fixed items — AKS Automatic will mutate N fields at admission.
2. Apply cluster configuration changes (see cluster config issues above).
3. Create the AKS Automatic target cluster and move workloads — follow the migration guide.
4. Verify — after migration, check all workloads are running and healthy.There is no documented in-place Standard → Automatic SKU switch; migration to Automatic is a new target cluster plus a workload move (the documented in-place path is Automatic → Standard, --sku base). See references/migration-guide-summary.md for supported journeys and the full checklist.
Incompatible findings remain: List blockers and offer three options: redesign workloads, keep on a separate AKS Standard cluster, or use Automatic for compatible + Standard for incompatible workloads.
Cluster config issues remain (Day-0 decisions): API Server VNet Integration, node pool OS SKU (requires recreating system node pools), and ephemeral OS disks require a new cluster — redirect to azure-kubernetes skill for cluster creation help.
Error Handling
| Error / Symptom | Likely Cause | Remediation |
|---|---|---|
| No Azure MCP AKS capability in the host's tools | Host uses another approved surface or does not expose these reads | Use approved equivalent metadata reads, including governed ARM/Azure CLI capabilities, or continue offline. Suggest a connector only if the host supports and authorizes setup |
| Discovered AKS capability has no readiness operation | Expected — the documented surface is cluster/node-pool reads only | Collect sanitized manifests via kubectl | jq and evaluate the bundled spec locally |
| Azure/Kubernetes read fails (401/403/404, no context) | Credentials, RBAC, scope, or wrong target | See references/mcp-integration.md (SRE Agent UAMI scope vs az login hosts); continue offline if unresolved |
jq or bundled sanitizer unavailable | Host cannot execute the sanitized pipeline | Use rendered manifests or an approved projecting host read. Install tools only where host policy and user authorization permit; never send raw cluster JSON to the model |
| Helm chart uses Go templating — cannot evaluate | Template values not resolved | Ask for helm template output or values files |
| Constraint spec version mismatch | Skill bundles spec v1.2.0 | Note version in output; recommend re-running after spec update |
Reference Files
| File | When to load |
|---|---|
references/constraint-spec-v1.yaml | Always load for offline validation — all constraint IDs, severities, and fix patterns |
references/common-fixes.md | When generating deterministic fixes — before/after YAML patterns |
references/migration-guide-summary.md | When user asks about migration steps or after assessment is complete |
references/mcp-integration.md | When discovering Azure MCP capabilities, wiring the sanitized kubectl read, or debugging the fallback chain |
scripts/sanitize-readiness-input.jq | Allowlist projection for kubectl -o json output before it reaches the model (requires jq) |
⚠️ Warning: This skill bundles constraint spec v1.2.0 (rules dated 2026-03-15, reconciled 2026-09 against the Learn Deployment Safeguards page, Azure Policy initiative c047ea8e v3.0.0, and the AKS Automatic SKU migration article). It lists 23 customer-facing cluster constraints, 21 Baseline-level Deployment Safeguards rules (one advisory/unverified), 4 conditional Restricted/Windows rules, and 2 active mutators. Always note the spec version in assessment output and verify live enforcement with
kubectl get constraintswhen a cluster is reachable.
Files
- ATTRIBUTION.mdAdded by AutoGineer1.0 KiB
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md17.2 KiB
- references/common-fixes.md7.3 KiB
- references/constraint-spec-v1.yaml24.3 KiB
- references/mcp-integration.md8.4 KiB
- references/migration-guide-summary.md6.9 KiB
- scripts/sanitize-readiness-input.jq7.8 KiB
references/migration-guide-summary.md
AKS Automatic Migration Guide
Loaded when user asks about migration steps or after assessment is complete.
Supported Journeys — Read First
Migrating to AKS Automatic means creating a new AKS Automatic target cluster and moving workloads to it. There is no documented in-place az aks update --sku automatic path for an existing Standard cluster.
| Journey | Documented today | Guidance |
|---|---|---|
| AKS Standard → AKS Automatic | Not in place; new target cluster + workload move | Follow the checklist below |
AKS Automatic (managed system pool) → AKS Standard (base SKU) | Yes, in place: az aks nodepool add --mode System … then az aks update --sku base | Rollback/exit path; see the Learn article |
| Standard → Automatic in place; Automatic without managed system pool → with managed system pool | Listed by Microsoft as "coming soon" | Do not promise it or script it; re-check the Learn article |
Source: AKS Automatic cluster SKU migration. If that article changes, it wins over this summary.
Migration Checklist
Phase 1 — Assessment (this skill)
[ ] Collect cluster/node-pool metadata through a host-discovered Azure MCP AKS capability (or
az), then evaluate sanitized Kubernetes manifests locally against the bundled constraint spec[ ] Resolve all
incompatiblefindings — these are hard blockers[ ] Apply all
requiresChangesfixes — these will be denied at admission[ ] Review
autoFixeditems — understand what AKS Automatic will mutate at runtime[ ] Decide whether the target will opt into PSS Restricted or run Windows node pools; only then apply the
conditionalSafeguardsrules[ ] Address cluster-level Day-0 config issues (see below)
Phase 2 — Create AKS Automatic Cluster (azure-kubernetes handoff)
This skill does not implement cluster creation. Hand off the assessed target requirements to the azure-kubernetes skill, including region, network and private-connectivity requirements, identities, policy constraints, and the Day-0 boundaries below.
az aks create \
--resource-group <resource-group> \
--name <new-cluster-name> \
--sku automatic \
--location <location> \
--generate-ssh-keysDo not continue to validation or cutover until the target cluster exists and its cluster/resource-group context is verified.
Phase 3 — Dry-run and Staging Evidence on the New Cluster
# Keep target credentials in a dedicated file so source and target contexts never mix
az aks get-credentials \
--resource-group <target-resource-group> \
--name <target-cluster-name> \
--file <target-kubeconfig>
# Dry-run server-side apply — catches admission policy rejections
KUBECONFIG=<target-kubeconfig> kubectl apply \
--dry-run=server -f <manifests-directory>/Creating a staging namespace and applying workloads mutate the target cluster. Run them only after the dry-run evidence is reviewed and the owner explicitly approves staging:
KUBECONFIG=<target-kubeconfig> kubectl create namespace <staging-namespace>
KUBECONFIG=<target-kubeconfig> kubectl apply \
-f <manifests-directory>/ -n <staging-namespace>
# Preserve workload and admission evidence
KUBECONFIG=<target-kubeconfig> kubectl get pods \
-n <staging-namespace> -o wide
KUBECONFIG=<target-kubeconfig> kubectl get events \
-n <staging-namespace> --sort-by=.metadata.creationTimestampPhase 4 — Cutover and Rollback Window
Cutover changes traffic and requires an owner-approved plan. Keep the old cluster available for an owner-approved rollback window. Close that window only after the owner accepts explicit evidence that:
workload health and service objectives remain stable on the target;
required data is synchronized and integrity checks pass;
production traffic is fully served by the target without unresolved errors or regressions; and
the rollback path has remained executable until the closure decision.
Phase 5 — Decommission Old Cluster
# Destructive: only after the owner closes the rollback window
az aks delete \
--resource-group <source-resource-group> \
--name <old-cluster-name> \
--yes --no-waitDay-0 Decisions — Cluster-Level Configuration Requirements
AKS Automatic is a new target cluster, and azure-kubernetes owns its creation. Preserve these source-to-target boundaries in the handoff:
| Boundary | Required target state | Handoff evidence |
|---|---|---|
| Network plugin | A kubenet source maps to Azure CNI Overlay on the Automatic target | Record source CIDRs, UDR/firewall dependencies, private endpoints, DNS, and non-overlapping target address spaces |
| API Server VNet Integration | Select the target VNet/subnet design at cluster creation | Record private/public API access, DNS, peering, and authorized administration paths |
| System node pool OS | The Automatic target system-pool OS is Azure Linux | Inventory source user-pool OS (including Windows) and workload OS requirements separately |
| OIDC issuer and workload identity | Use the Automatic target capabilities | Inventory service accounts, federated credentials, and identity/RBAC dependencies for staging validation |
What AKS Automatic Auto-Enables
No manual setup needed for these — show this list when user asks "what do I get for free":
| Feature | Benefit |
|---|---|
| Node Auto Provisioning (NAP) | Replaces cluster autoscaler; right-sizes node pools automatically |
| Vertical Pod Autoscaler (VPA) | Auto-tunes resource requests after deployment |
| Azure Monitor Container Insights | Logs, metrics, and dashboards out of the box |
| Deployment Safeguards | Enabled in Enforce by default; admission policies plus webhook mutations for resource defaults and placement. Namespaces can be excluded; the level cannot be switched to Warn |
| Pod Security Standards (Baseline) | Enforced cluster-wide; Restricted available opt-in |
| Managed OIDC Issuer | Required for workload identity |
| Azure Key Vault CSI Driver | Secret injection without static credentials |
| Ephemeral OS disks | Faster node provisioning by default |
| Azure Linux node OS | Smaller footprint, faster boot times |
Post-Migration Verification Commands
KUBECONFIG=<target-kubeconfig> kubectl get pods -A |
grep -v Running | grep -v Completed
KUBECONFIG=<target-kubeconfig> kubectl get pods -A \
--field-selector status.phase=Pending
# Deployment Safeguards / PSS constraints active on the target
KUBECONFIG=<target-kubeconfig> kubectl get constrainttemplate
KUBECONFIG=<target-kubeconfig> kubectl get constraints
KUBECONFIG=<target-kubeconfig> kubectl get vpa -A
az aks nodepool list \
--resource-group <target-resource-group> \
--cluster-name <target-cluster-name> \
--query "[].{name:name, mode:mode, osType:osType, count:count}" \
-o table
az aks show \
--resource-group <target-resource-group> \
--name <target-cluster-name> \
--query addonProfiles.omsagent.enabledRequirements 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 a command-line tool, Needs Node.js
Security
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Attribution and licence
- Created by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/skills · .github/plugins/azure-skills/skills/azure-kubernetes/azure-kubernetes-automatic-readiness · 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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