Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confirming before risky changes. WHEN: Azure Local, Azure Stack HCI, Arc resource bridge, custom location, Azure Local VM, Arc VM, AKS on Azure Local, AKS hybrid, SDN, Lifecycle Manager, Azure Local update, disconnected site.
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安装前可以查看交给 AI 代理的指令内容。
| Property | Value |
|---|---|
| Best for | Azure Local planning, deployment, operations, workloads |
| MCP Tools | Generic Azure MCP tools only; no Azure Local namespace |
| CLI | az graph query, az resource show, Azure Local PowerShell |
| Related skills | azure-compute (public VMs), azure-kubernetes (public AKS) |
Use for Azure Local, Azure Stack HCI, Azure Local VMs, AKS on Azure Local, AKS hybrid, SDN, lifecycle updates, disconnected sites, or troubleshooting. Covers standard deployments (1-16 node hyperconverged, up to 64 disaggregated) and rack-aware clusters.
Do not use for cloud VM or public AKS guidance, or for multi-rack (rack scale) deployments — those use a separate control plane and procedure set. Hand off to the azure-local-multi-rack skill.
Azure Local has no dedicated MCP namespace. Use generic Azure MCP tools: mcp_azure_mcp_extension_cli_generate (ARG/CLI inventory), mcp_azure_mcp_monitor (needs Log Analytics), mcp_azure_mcp_resourcehealth (partial; not local cluster health), mcp_azure_mcp_documentation (pass the user's version when known).
Scope and limitations: mcp-and-cli-tools.
Microsoft.NetworkCloud resources, stop and use the azure-local-multi-rack skill instead.Read the matched workflow first and use docs-map. Start read-only. Ask before updates, deletes, reimages, network changes, VM power/delete operations, or Arc bridge/custom location changes.
| Scenario | Remediation |
|---|---|
| Scale unknown | Ask whether the deployment is standard or multi-rack before giving procedures. |
| Multi-rack detected | Hand off to the azure-local-multi-rack skill; these procedures do not apply. |
| Version unknown | Ask for the Azure Local version, or use latest docs. |
| Risky change detected | Stop and follow safety-rules. |
| No local access | Stay with Azure control-plane checks only. |
| Doc URL 404/redirect | Search Learn for the article title with the user's version. |
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Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
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Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
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Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).
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Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.
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Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: "capture packets on an AKS node", "take a pcap", "run tcpdump on AKS", "prove where packets drop". Use for explicit packet-capture intent after read-only diagnostics, not general AKS connectivity or ingress troubleshooting.
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Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by QuotaExceeded or InsufficientVCPUQuota, upgrade stuck, spot or zone disruption, a bare VMExtensionProvisioningError or AllocationFailed wrapper, an uncataloged capacity symptom, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model-serving issues (use aks-gpu-inference); cluster creation or provisioning (use azure-kubernetes); cost (use cost-analysis from the optional azure-cost plugin); pod rightsizing (use azure-kubernetes); a fully qualified documented AKS signature with every required nested qualifier (use aks-known-issues); standalone failures on non-AKS Azure resources (use azure-diagnostics). Unqualified errors and open-ended incidents stay here only for AKS.
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