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Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "microsoft-docs" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/ai-agents-for-beginners/main/.agents/skills/microsoft-docs/SKILL.md 2. 保存为 ~/.claude/skills/microsoft-docs/SKILL.md 3. 装好后重载技能，告诉我可以用了
Research skill for the Microsoft technology ecosystem. Covers learn.microsoft.com and documentation that lives outside it (VS Code, GitHub, Aspire, Agent Framework repos).
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.
| Tool | Purpose |
|---|---|
microsoft_docs_search | Search learn.microsoft.com — concepts, guides, tutorials, configuration |
microsoft_code_sample_search | Find working code snippets from Learn docs. Pass language (python, csharp, etc.) for best results |
microsoft_docs_fetch | Get 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.
The following categories live outside learn.microsoft.com. Use the specified tool instead.
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 Tool | Description |
|---|---|
list_docs | Lists all available documentation from aspire.dev |
search_docs | Weighted lexical search across aspire.dev content |
get_doc | Retrieves 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 ID | Use for |
|---|---|
/microsoft/aspire.dev | Primary — guides, integrations, CLI reference, deployment |
/dotnet/aspire | Runtime source — API internals, implementation details |
/communitytoolkit/aspire | Community integrations — Go, Java, Node.js, Ollama |
VS Code docs live on code.visualstudio.com, not Learn.
| Library ID | Use for |
|---|---|
/websites/code_visualstudio | User docs — settings, features, debugging, remote dev |
/websites/code_visualstudio_api | Extension API — webviews, TreeViews, commands, contribution points |
GitHub docs live on docs.github.com and cli.github.com.
| Library ID | Use for |
|---|---|
/websites/github_en | Actions, API, repos, security, admin, Copilot |
/websites/cli_github | GitHub CLI (gh) commands and flags |
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 ID | Use for |
|---|---|
/websites/learn_microsoft_en-us_agent-framework | Tutorials — DevUI guides, tracing, workflow orchestration |
/microsoft/agent-framework | API 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).
For any Context7 query, resolve the library ID first (one-time per session):
mcp_context7_resolve-library-id with the technology namemcp_context7_query-docs with the returned library ID and a specific queryBe specific — include version, intent, and language:
# ❌ Too broad
"Azure Functions"
"agent framework"
# ✅ Specific
…
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
Official agent plugin providing skills and MCP server configurations for Azure scenarios.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.