Community影像github.com

microsoft/azure-local

規劃、部署、操作與疑難排解 Azure Local（前身為 Azure Stack HCI）：包括規模估算、Arc 註冊、生命週期更新、工作負載（Azure Local VM、AKS on Azure Local、映像、磁碟、邏輯網路）、SDN 與網路安全，以及故障排除——以唯讀開始，並在執行高風險變更前要求確認。適用於：Azure Local、Azure Stack HCI、Arc 資源橋接器、自訂位置、Azure Local VM、Arc VM、AKS on Azure Local、AKS 混合式、SDN、生命週期管理員、Azure Local 更新、離線站點。

azure-local 是什麼？

此技能提供完整的 Azure Local 規劃、部署、操作與疑難排解指引，適用於從 1 到 16 個節點的超融合式標準部署，以及最多 64 個節點的分離式部署。它涵蓋 Arc 註冊、生命週期管理員更新、工作負載管理（包含 Azure Local VM、AKS on Azure Local、映像、磁碟與邏輯網路）、軟體定義網路（SDN）與網路安全（NSG、負載平衡器、閘道器），以及故障排除。此技能嚴格遵循唯讀優先原則：在執行任何更新、刪除、重新安裝映像、網路變更、VM 電源或刪除操作，或 Arc 橋接器與自訂位置變更之前，必須先取得使用者確認。它仰賴通用的 Azure MCP 工具（如 mcp_azure_mcp_extension_cli_generate、mcp_azure_mcp_monitor、mcp_azure_mcp_resourcehealth 與 mcp_azure_mcp_documentation），並在偵測到多機架（rack scale）部署時，自動將任務移交給專用的 azure-local-multi-rack 技能。此技能支援 Azure Local、Azure Stack HCI、Arc 資源橋接器、自訂位置、Azure Local VM、Arc VM、AKS on Azure Local、AKS 混合式、SDN、生命週期管理員、Azure Local 更新與離線站點等案例。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/microsoft/agent-skills/tree/main/.github/plugins/azure-local-skills/skills/azure-local

Installed? Explore more 影像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →

查看原文→瀏覽所有技能

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

說明文件

Azure Local

快速參考

屬性值
最佳用途Azure Local 規劃、部署、操作、工作負載
MCP 工具僅限一般 Azure MCP 工具；無 Azure Local 命名空間
CLIaz graph query、az resource show、Azure Local PowerShell
相關技能azure-compute（公用 VM）、azure-kubernetes（公用 AKS）

使用時機

適用於 Azure Local、Azure Stack HCI、Azure Local VM、AKS on Azure Local、AKS 混合式、SDN、生命週期更新、離線站點或疑難排解。涵蓋標準部署（1-16 節點超融合式，最多 64 節點分離式）與機架感知叢集。

不適用於雲端 VM 或公用 AKS 指引，也不適用於**多機架（機架規模）**部署——這類部署使用獨立控制平面與程序集。請將任務移交給 azure-local-multi-rack 技能。

MCP 工具

Azure Local 沒有專用的 MCP 命名空間。請使用一般 Azure MCP 工具：mcp_azure_mcp_extension_cli_generate（ARG/CLI 清單）、mcp_azure_mcp_monitor（需要 Log Analytics）、mcp_azure_mcp_resourcehealth（部分支援；不包含本機叢集健康狀態）、mcp_azure_mcp_documentation（在使用者已知時傳入其版本）。

範圍與限制：mcp-and-cli-tools

工作流程

  1. 確認部署規模。如果使用者提及多機架、彙總機架、網路光纖控制器、叢集管理員或 Microsoft.NetworkCloud 資源，請停止並改用 azure-local-multi-rack 技能。
  2. 部署 -> plan-and-deploy
  3. 操作/更新 -> operate-and-update
  4. VM、AKS、映像、磁碟、網路 -> workload-management
  5. SDN、NSG、負載平衡器、閘道器 -> networking-and-security
  6. 故障 -> troubleshooting

請先閱讀相符的工作流程，並使用 docs-map。從唯讀模式開始。在執行更新、刪除、重新安裝映像、網路變更、VM 電源/刪除操作或 Arc 橋接器/自訂位置變更之前，請務必先詢問使用者。

錯誤處理

情境補救措施
規模未知在提供程序之前，詢問部署是標準型還是多機架型。
偵測到多機架移交給 azure-local-multi-rack 技能；這些程序不適用。
版本未知詢問 Azure Local 版本，或使用最新文件。
偵測到高風險變更停止並遵循 safety-rules。
無本機存取僅限使用 Azure 控制平面的檢查。
文件 URL 404/重新導向在使用者版本中，於 Learn 上搜尋文章標題。

Individual skills in this repo

This repo contains 12 individual skills — each has its own dedicated page.

microsoft/azure-ai-agents-persistent-dotnet

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".

microsoft/azure-ai-document-intelligence-dotnet

Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient", "form recognizer", "invoice extraction", "receipt OCR", "document analysis .NET".

microsoft/azure-ai-openai-dotnet

Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants. Triggers: "Azure OpenAI", "AzureOpenAIClient", "ChatClient", "chat completions .NET", "GPT-4", "embeddings", "DALL-E", "Whisper", "OpenAI .NET".

microsoft/azure-ai-projects-dotnet

Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".

microsoft/azure-ai-voicelive-dotnet

Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant .NET", "bidirectional audio", "speech-to-speech".

microsoft/azure-eventgrid-dotnet

Azure Event Grid SDK for .NET. Client library for publishing and consuming events with Azure Event Grid. Use for event-driven architectures, pub/sub messaging, CloudEvents, and EventGridEvents. Triggers: "Event Grid", "EventGridPublisherClient", "CloudEvent", "EventGridEvent", "publish events .NET", "event-driven", "pub/sub".

microsoft/azure-eventhub-dotnet

Azure Event Hubs SDK for .NET. Use for high-throughput event streaming: sending events (EventHubProducerClient, EventHubBufferedProducerClient), receiving events (EventProcessorClient with checkpointing), partition management, and real-time data ingestion. Triggers: "Event Hubs", "event streaming", "EventHubProducerClient", "EventProcessorClient", "send events", "receive events", "checkpointing", "partition".

microsoft/azure-identity-dotnet

Azure Identity library for .NET. Authentication library for Azure SDK clients using Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and developer credentials. Triggers: "Azure Identity", "DefaultAzureCredential", "ManagedIdentityCredential", "ClientSecretCredential", "authentication .NET", "Azure auth", "credential chain".

microsoft/azure-kusto-graph

Build and query Kusto graphs from natural language. Covers transient graphs (make-graph), persistent graph models/snapshots, pattern matching (graph-match), shortest paths, connected components, and graph-to-table export. Generates the edges-first thinking: define edges, define node lookups, union, make-graph. WHEN: make-graph, graph-match, graph-shortest-paths, graph-to-table, graph-mark-components, persistent graph, graph model, graph snapshot, build a graph from data, find paths between nodes, pattern matching in graph, connected components, transient graph, Kusto graph, KQL graph.

microsoft/azure-kusto-irql

Compose IRQL (Incident Response Query Language) queries for Kusto cybersecurity investigations. Translates natural language hunting questions into composable IRQL pipelines using Get_*, Extract_*, and Enrich_* functions. WHEN: IRQL query, security hunt, threat hunting KQL, incident response query, compose hunting pipeline, failed logins, phishing investigation, lateral movement, process execution, file creation events.

microsoft/azure-kusto-irql-graph

Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

microsoft/azure-local-multi-rack

Plan, deploy, operate, and troubleshoot multi-rack (rack scale) deployments of Azure Local — preintegrated racks scaling to hundreds of machines, built on Network Fabric Controller, Cluster Manager, SAN storage, and managed network fabric. Use for the Microsoft.NetworkCloud and Microsoft.ManagedNetworkFabric control plane. NOT for standard 1-16 node Azure Local, and NOT for rack-aware clusters (two racks as availability zones, up to 8 nodes, synchronous replication) — those are standard scale. WHEN: multi-rack, rack scale Azure Local, aggregation rack, compute rack, Network Fabric Controller, NFC, Cluster Manager, network fabric, isolation domain, az networkcloud, az networkfabric, multi-rack logical network, multi-rack Arc VM.

相關技能

steipete/songsee

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

community

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

community

mattpocock/improve-codebase-architecture

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

community

lobehub/add-provider-doc

Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.

community

addyosmani/browser-testing-with-devtools

Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.

community

bytedance/chart-visualization

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

community
← More 影像 skills