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azure-kubernetes-automatic-readiness

Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic.

Install / Use

npx skills add microsoft/skills --skill azure-kubernetes-automatic-readiness

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Category

Automation

Supported Platforms

Universal

Our assessment of azure-kubernetes-automatic-readiness

azure-kubernetes-automatic-readiness scores 86/100 on our quality scale, 1218th of 2,166 Automation skills we index.

Its SKILL.md is 14 KB long, well organised into 22 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.

With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 5 days ago, so azure-kubernetes-automatic-readiness is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

azure-kubernetes-automatic-readiness compared with similar skills

All 4 of these similar skills score higher than azure-kubernetes-automatic-readiness; compare them before choosing.

SkillScoreStarsUpdatedFormat
azure-kubernetes-automatic-readiness (this skill)by microsoft863.1k5d agoSKILL.md
Agent-Reachby Panniantong10086.1k13d agoCLAUDE.md
rufloby ruvnet10073.5ktodayCLAUDE.md
Scraplingby D4Vinci10084.4ktodayMCP Server
algorithmic-artby anthropics100177.9k6d agoSKILL.md

Frequently asked questions

How do I install azure-kubernetes-automatic-readiness?
Run npx skills add microsoft/skills --skill azure-kubernetes-automatic-readiness. The install tabs above show the steps for each supported agent.
Which AI agents does azure-kubernetes-automatic-readiness work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is azure-kubernetes-automatic-readiness safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is azure-kubernetes-automatic-readiness still maintained?
The repository was last updated 5 days ago, so azure-kubernetes-automatic-readiness is actively maintained.

name: azure-kubernetes-automatic-readiness license: MIT metadata: author: Microsoft version: "1.0.1" description: "Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic."

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-kubernetes skill 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 enforces Deployment Safeguards (21 active policies, some deny, some warn only), Pod Security Standards (Baseline mandatory, Restricted optional), 2 active webhook mutators that auto-fix certain fields at admission (resource-requests defaults and anti-affinity/topology-spread), and 23 cluster-level configuration requirements.

Quick Reference

| Property | Value | |----------|-------| | Best for | AKS Automatic migration readiness and manifest validation | | MCP Tools | mcp_azure_mcp_aks | | Related skills | azure-kubernetes (cluster creation), azure-diagnostics (live troubleshooting), 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

  1. 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.
  2. 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.
  3. User approval for file changes: Present every fix as a diff. The user must explicitly accept before you write to any file.
  4. Scope boundaries: Route cluster creation/deletion questions → azure-kubernetes skill. Route live troubleshooting → azure-diagnostics skill.

MCP Tools

| Tool | Purpose | Key Parameters | |------|---------|----------------| | mcp_azure_mcp_aks | AKS MCP entry point — call discover first, then use the assessment action name returned in the response | subscriptionId, resourceGroupName, resourceName, scope |

Workflow

Step 1: Determine Scope

Ask the user what they want to assess:

Option A — Cluster-connected assessment (via AKS MCP) 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

Call the AKS MCP tool — this is the preferred path. Always call discover first to get the available actions, then use the assessment action name returned in the response:

// Step 1: Discover available actions
mcp_azure_mcp_aks({ action: "discover" })

// Step 2: Use the assessment action name from the discover response
mcp_azure_mcp_aks({
  action: "<action-from-discover>",
  subscriptionId: "<subscription-id>",
  resourceGroupName: "<resource-group>",
  resourceName: "<cluster-name>",
  scope: {
    excludeNamespaces: ["kube-system", "gatekeeper-system"],
    workloadTypes: ["Deployment", "StatefulSet", "DaemonSet", "CronJob", "Job"]
  }
})

Required permissions:

  • Microsoft.ContainerService/managedClusters/read
  • Microsoft.ContainerService/managedClusters/listClusterUserCredential/action

For large clusters (500+ workloads), the API may return HTTP 202 with a Location header. Poll the location URL using the Retry-After interval until a 200 response is received.

Parsing the MCP response:

  1. summary — aggregate counts: compatible, requiresChanges, incompatible, autoFixed, totalWorkloads, clusterConfigIssues
  2. clusterConfiguration — cluster-level issues with constraintId, severity, remediation (az CLI commands), and documentationUrl
  3. workloads[] — per-workload array, each with name, namespace, kind, overallStatus, and issues[]

Each issue in workloads[].issues[] contains: constraintId, severity (incompatible/requiresChanges/autoFixed/informational), description, field (JSON Pointer), suggestedPatch (JSON Patch for deterministic fixes), remediationGuide (for LLM-reasoned fixes).

Fallback Chain

1. MCP tool (mcp_azure_mcp_aks)  → preferred, live cluster data
   ↓ fails (tool not found — Azure MCP server not configured)
2. Offline validation            → works on local manifests without any cluster

If mcp_azure_mcp_aks is not available, inform the user:

"The Azure MCP server is not configured in your editor. To enable live cluster assessment, follow the setup guide at aka.ms/azure-mcp-setup. For now, I can validate your local manifests offline."

Then proceed to offline mode.

Offline Mode

Load the constraint spec from references/constraint-spec-v1.yaml and evaluate each manifest. The check field tells you what to check for and what fields to check. The fix field will tell you any allowed values and possible fixes. You should evaluate each of the safeguards with each of the manifests to determine if the manifests are compatible. Suggest any fixes that are needed.

Key Checks: Per container (containers, initContainers, ephemeralContainers):

  • Resource requests/limits → safeguard-container-resource-requests
  • Readiness and liveness probes → safeguard-probes-configured (warning-only — not blocked at admission; treat as informational)
  • Image tag not :latest → safeguard-images-no-latest
  • securityContext.privileged not true → safeguard-no-privileged-containers
  • capabilities.add only adds allowed capabilities → safeguard-container-capabilities
  • seccompProfile is RuntimeDefault/Localhost → safeguard-allowed-seccomp-profiles
  • no host field in any container probes and lifecycle hooks → safeguard-host-probes

Per pod spec:

  • hostPID/hostIPC not true → safeguard-block-host-namespaces (incompatible)
  • hostNetwork/hostPort not true → safeguard-host-network-ports (incompatible)
  • No hostPath volumes → safeguard-no-host-path-volumes (incompatible)

Per workload type:

  • Deployments/StatefulSets with replicas > 1: podAntiAffinity or topologySpreadConstraints → safeguard-pod-enforce-antiaffinity
  • StorageClass: 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 | No enforcement | Mention briefly |

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 (have suggestedPatch — generate YAML diff directly):

  • safeguard-container-resource-requests — add resources.requests
  • safeguard-container-capabilities — remove capabilities.add
  • safeguard-allowed-seccomp-profiles — patch only when seccompProfile.type: Unconfined is present, or when the MCP suggestedPatch explicitly requires a seccomp change
  • safeguard-enforce-apparmor — add AppArmor annotation
  • safeguard-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.

LLM-reasoned fixes (require app context; use remediationGuide):

  • 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 guess
  • safeguard-pod-enforce-antiaffinity — needs app labels for selector
  • safeguard-no-host-path-volumes — replacement depends on what hostPath is used for
  • safeguard-block-host-namespaces — may require architecture redesign
  • safeguard-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:

  1. Generate the fix as a YAML diff
  2. Show the diff with explanation
  3. Wait for explicit approval: "apply", "edit", or "skip"
  4. On approval, apply the change to the file
  5. Move to the next finding

If the user says "fix all" or "apply all deterministic fixes", first generate a single combined diff containing all eligible suggestedPatch-based fixes, 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.

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3.1k
CategoryAutomation
Updated5d ago
Forks349

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions