microsoft-docs

作者: github

搜尋 Azure、.NET、Agent Framework、Aspire、VS Code 及 GitHub 的官方 Microsoft 文件。主要工具透過三個指令涵蓋 learn.microsoft.com:搜尋概念與指南、依語言尋找程式碼範例,以及擷取完整頁面內容。當 MCP 伺服器無法使用時,包含 CLI 備援(mslearn 指令),並提供 JSON 輸出選項以利腳本處理。將 Aspire、VS Code、GitHub 及 Agent Framework 的查詢導向專用工具(Aspire MCP、Context7),因為其文件存放於...

npx skills add https://github.com/github/awesome-copilot --skill microsoft-docs

Microsoft Docs

Research skill for the Microsoft technology ecosystem. Covers learn.microsoft.com and documentation that lives outside it (VS Code, GitHub, Aspire, Agent Framework repos).


Default: Microsoft Learn MCP

Use these tools for everything on learn.microsoft.com — Azure, .NET, M365, Power Platform, Agent Framework, Semantic Kernel, Windows, and more. This is the primary tool for the vast majority of Microsoft documentation queries.

ToolPurpose
microsoft_docs_searchSearch learn.microsoft.com — concepts, guides, tutorials, configuration
microsoft_code_sample_searchFind working code snippets from Learn docs. Pass language (python, csharp, etc.) for best results
microsoft_docs_fetchGet full page content from a specific URL (when search excerpts aren't enough)

Use microsoft_docs_fetch after search when you need complete tutorials, all config options, or when search excerpts are truncated.

CLI Alternative

If the Learn MCP server is not available, use the mslearn CLI from your terminal or shell (for example, Bash, PowerShell, or cmd) instead:

# Run directly (no install needed)
npx @microsoft/learn-cli search "BlobClient UploadAsync Azure.Storage.Blobs"

# Or install globally, then run
npm install -g @microsoft/learn-cli
mslearn search "BlobClient UploadAsync Azure.Storage.Blobs"
MCP ToolCLI Command
microsoft_docs_search(query: "...")mslearn search "..."
microsoft_code_sample_search(query: "...", language: "...")mslearn code-search "..." --language ...
microsoft_docs_fetch(url: "...")mslearn fetch "..."

Pass --json to search or code-search to get raw JSON output for further processing.


Exceptions: When to Use Other Tools

The following categories live outside learn.microsoft.com. Use the specified tool instead.

.NET Aspire — Use Aspire MCP Server (preferred) or Context7

Aspire docs live on aspire.dev, not Learn. The best tool depends on your Aspire CLI version:

CLI 13.2+ (recommended) — The Aspire MCP server includes built-in docs search tools:

MCP ToolDescription
list_docsLists all available documentation from aspire.dev
search_docsWeighted lexical search across aspire.dev content
get_docRetrieves a specific document by slug

These ship in Aspire CLI 13.2 (PR #14028). To update: aspire update --self --channel daily. Ref: https://davidpine.dev/posts/aspire-docs-mcp-tools/

CLI 13.1 — The MCP server provides integration lookup (list_integrations, get_integration_docs) but not docs search. Fall back to Context7:

Library IDUse for
/microsoft/aspire.devPrimary — guides, integrations, CLI reference, deployment
/dotnet/aspireRuntime source — API internals, implementation details
/communitytoolkit/aspireCommunity integrations — Go, Java, Node.js, Ollama

VS Code — Use Context7

VS Code docs live on code.visualstudio.com, not Learn.

Library IDUse for
/websites/code_visualstudioUser docs — settings, features, debugging, remote dev
/websites/code_visualstudio_apiExtension API — webviews, TreeViews, commands, contribution points

GitHub — Use Context7

GitHub docs live on docs.github.com and cli.github.com.

Library IDUse for
/websites/github_enActions, API, repos, security, admin, Copilot
/websites/cli_githubGitHub CLI (gh) commands and flags

Agent Framework — Use Learn MCP + Context7

Agent Framework tutorials are on learn.microsoft.com (use microsoft_docs_search), but the GitHub repo has API-level detail that is often ahead of published docs — particularly DevUI REST API reference, CLI options, and .NET integration.

Library IDUse for
/websites/learn_microsoft_en-us_agent-frameworkTutorials — DevUI guides, tracing, workflow orchestration
/microsoft/agent-frameworkAPI detail — DevUI REST endpoints, CLI flags, auth, .NET AddDevUI/MapDevUI

DevUI tip: Query the Learn website source for how-to guides, then the repo source for API-level specifics (endpoint schemas, proxy config, auth tokens).


Context7 Setup

For any Context7 query, resolve the library ID first (one-time per session):

  1. Call mcp_context7_resolve-library-id with the technology name
  2. Call mcp_context7_query-docs with the returned library ID and a specific query

Writing Effective Queries

Be specific — include version, intent, and language:

# ❌ Too broad
"Azure Functions"
"agent framework"

# ✅ Specific
"Azure Functions Python v2 programming model"
"Cosmos DB partition key design best practices"
"GitHub Actions workflow_dispatch inputs matrix strategy"
"Aspire AddUvicornApp Python FastAPI integration"
"DevUI serve agents tracing OpenTelemetry directory discovery"
"Agent Framework workflow conditional edges branching handoff"

Include context:

  • Version when relevant (.NET 8, Aspire 13, VS Code 1.96)
  • Task intent (quickstart, tutorial, overview, limits, API reference)
  • Language for polyglot docs (Python, TypeScript, C#)

來自 github 的更多技能

console-rendering
github
在 Go 中使用基於結構體標籤的控制台渲染系統的說明
official
acquire-codebase-knowledge
github
當使用者明確要求對現有程式碼庫進行映射、文件化或入門引導時,使用此技能。觸發詞如「映射此程式碼庫」、「文件化…」等提示。
official
acreadiness-assess
github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
official
acreadiness-generate-instructions
github
透過 AgentRC 指令命令生成量身打造的 AI 代理指令檔案。產生 .github/copilot-instructions.md(預設,建議用於 VS Code 中的 Copilot…
official
acreadiness-policy
github
幫助使用者選取、撰寫或套用 AgentRC 政策。政策可透過停用不相關的檢查、覆寫影響/等級、設定…來自訂整備度評分。
official
add-educational-comments
github
為程式碼檔案添加教育性註解,將其轉化為有效的學習資源。根據三個可設定的知識層級(初學者、中級、進階)調整解釋深度與語氣。若未提供檔案,會自動請求提供,並以編號清單對應以便快速選取。僅透過教育性註解將檔案擴充最多125%(嚴格上限:400行新註解;超過1,000行的檔案上限為300行)。保留檔案編碼、縮排風格、語法正確性及……
official
adobe-illustrator-scripting
github
使用 ExtendScript (JavaScript/JSX) 編寫、除錯及最佳化 Adobe Illustrator 自動化腳本。適用於建立或修改操控…的腳本時。
official
agent-governance
github
宣告式政策、意圖分類與稽核軌跡,用於控制AI代理工具存取與行為。可組合的治理政策定義允許/封鎖的工具、內容過濾器、速率限制與核准要求——以配置而非程式碼形式儲存。語意意圖分類在工具執行前,透過基於模式的訊號偵測危險提示(資料外洩、權限提升、提示注入)。工具層級治理裝飾器在函式層級強制執行政策……
official