跳到正文
cccskills
免费在 GitHub 公开

azure-aks

Use when working with Azure Aks — azure Kubernetes Service (AKS) cluster management, node pool status, addon management, upgrade planning, and health diagnostics via Azure CLI.

中文简介正在准备中。当前显示原文说明。

集成工具AzureKubernetes
查看安装方法

包含的文件(1)

  • SKILL.md7.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AKS Skill

Manage and analyze Azure Kubernetes Service clusters using az aks commands.

Discovery-First Rule

ALWAYS discover before acting. Never assume cluster names, resource groups, node pool names, or Kubernetes versions. Run discovery commands first, then use the actual values returned.

# Step 1: Discover clusters
az aks list --output json --query "[].{name:name, rg:resourceGroup, version:kubernetesVersion, state:powerState.code}"

# Step 2: Use discovered values in subsequent commands
az aks show --name "$CLUSTER" --resource-group "$RG" --output json

Parallel Execution Requirement

ALL independent operations MUST run in parallel using background jobs (&) and wait.

# CORRECT: Parallel cluster inspection
for cluster_info in $clusters; do
  {
    name=$(echo "$cluster_info" | jq -r '.name')
    rg=$(echo "$cluster_info" | jq -r '.rg')
    az aks show --name "$name" --resource-group "$rg" --output json
  } &
done
wait

Helper Functions

# Get cluster credentials (non-destructive, merge into kubeconfig)
get_aks_credentials() {
  local name="$1" rg="$2"
  az aks get-credentials --name "$name" --resource-group "$rg" --overwrite-existing --output none
}

# List node pools with key metrics
list_node_pools() {
  local name="$1" rg="$2"
  az aks nodepool list --cluster-name "$name" --resource-group "$rg" \
    --output json --query "[].{name:name, vmSize:vmSize, count:count, mode:mode, osType:osType, version:orchestratorVersion, state:provisioningState, powerState:powerState.code}"
}

# Check available upgrades
check_upgrades() {
  local name="$1" rg="$2"
  az aks get-upgrades --name "$name" --resource-group "$rg" --output json
}

# Get cluster diagnostics
get_diagnostics() {
  local name="$1" rg="$2"
  az aks show --name "$name" --resource-group "$rg" --output json \
    --query "{networkProfile:networkProfile, addonProfiles:addonProfiles, apiServerAccessProfile:apiServerAccessProfile, autoScalerProfile:autoScalerProfile}"
}

Common Operations

1. Cluster Health Overview

clusters=$(az aks list --output json --query "[].{name:name, rg:resourceGroup}")
for c in $(echo "$clusters" | jq -c '.[]'); do
  {
    name=$(echo "$c" | jq -r '.name')
    rg=$(echo "$c" | jq -r '.rg')
    echo "=== $name ==="
    az aks show --name "$name" --resource-group "$rg" --output json \
      --query "{version:kubernetesVersion, state:powerState.code, fqdn:fqdn, nodeRG:nodeResourceGroup, sku:sku}"
    list_node_pools "$name" "$rg"
  } &
done
wait

2. Node Pool Scaling and Status

# Check autoscaler status and node counts
az aks nodepool list --cluster-name "$CLUSTER" --resource-group "$RG" --output json \
  --query "[].{name:name, count:count, minCount:minCount, maxCount:maxCount, enableAutoScaling:enableAutoScaling, vmSize:vmSize}"

# Scale a node pool (manual)
az aks nodepool update --cluster-name "$CLUSTER" --resource-group "$RG" \
  --name "$POOL" --enable-cluster-autoscaler --min-count 2 --max-count 10

3. Addon Management

# List enabled addons
az aks show --name "$CLUSTER" --resource-group "$RG" --output json \
  --query "addonProfiles" | jq 'to_entries[] | select(.value.enabled==true) | .key'

# Enable monitoring addon
az aks enable-addons --name "$CLUSTER" --resource-group "$RG" --addons monitoring \
  --workspace-resource-id "$WORKSPACE_ID"

4. Upgrade Planning

# Current version and available upgrades
az aks get-upgrades --name "$CLUSTER" --resource-group "$RG" --output json \
  --query "{currentVersion:controlPlaneProfile.kubernetesVersion, upgrades:controlPlaneProfile.upgrades[].kubernetesVersion}"

# Check node pool versions (detect skew)
az aks nodepool list --cluster-name "$CLUSTER" --resource-group "$RG" --output json \
  --query "[].{pool:name, version:orchestratorVersion}"

5. Network and Security Configuration

az aks show --name "$CLUSTER" --resource-group "$RG" --output json \
  --query "{networkPlugin:networkProfile.networkPlugin, networkPolicy:networkProfile.networkPolicy, serviceCidr:networkProfile.serviceCidr, podCidr:networkProfile.podCidr, dnsServiceIP:networkProfile.dnsServiceIP, authorizedIPs:apiServerAccessProfile.authorizedIpRanges, privateCluster:apiServerAccessProfile.enablePrivateCluster, aad:aadProfile}"

Output Format

Present results as a structured report:

Azure Aks Report
════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  1. Version skew: Node pool versions can differ from control plane. Always check both before upgrading.
  2. System vs user pools: System node pools cannot be scaled to zero. Use mode field to distinguish.
  3. Private clusters: az aks command invoke is required to run kubectl commands on private clusters.
  4. Addon dependencies: Some addons require specific node pool configurations or extensions. Check prerequisites before enabling.
  5. Autoscaler vs manual: Never set --node-count on a pool with autoscaler enabled -- use --min-count and --max-count instead.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

查看 cloudthinker-ai 的全部技能

报告此技能的问题