npx skills add ...
npx skills add github/awesome-copilot --skill microsoft-skill-creator
npx skills add github/awesome-copilot --skill microsoft-skill-creator
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
Create hybrid skills for Microsoft technologies that store essential knowledge locally while enabling dynamic Learn MCP lookups for deeper details.
Skills are modular packages that extend agent capabilities with specialized knowledge and workflows. A skill transforms a general-purpose agent into a specialized one for a specific domain.
name and description determine when the skill triggers—be clear and comprehensive| Tool | Purpose | When to Use |
|---|---|---|
microsoft_docs_search | Search official docs | First pass discovery, finding topics |
microsoft_docs_fetch | Get full page content | Deep dive into important pages |
microsoft_code_sample_search | Find code examples | Get implementation patterns |
If the Learn MCP server is not available, use the mslearn CLI from a terminal or shell (for example, Bash, PowerShell, or cmd) instead:
| MCP Tool | CLI Command |
|---|---|
microsoft_docs_search(query: "...") | mslearn search "..." |
microsoft_code_sample_search(query: "...", language: "...") | mslearn code-search "..." --language ... |
microsoft_docs_fetch(url: "...") | mslearn fetch "..." |
Generated skills should include this same CLI fallback table so agents can use either path.
Build deep understanding using Learn MCP tools in three phases:
Phase 1 - Scope Discovery:
Phase 2 - Core Content:
Phase 3 - Depth:
After investigating, verify:
Present findings and ask:
Use the appropriate template from skill-templates.md:
| Technology Type | Template |
|---|---|
| Client library, NuGet/npm package | SDK/Library |
| Azure resource | Azure Service |
| App development framework | Framework/Platform |
| REST API, protocol | API/Protocol |
Store locally when:
Keep dynamic when:
| Content Type | Local | Dynamic |
|---|---|---|
| Core concepts (3-5) | ✅ Full | |
| Hello world code | ✅ Full | |
| Common patterns (3-5) | ✅ Full | |
| Top API methods | Signature + example | Full docs via fetch |
| Best practices | Top 5 bullets | Search for more |
| Troubleshooting | Search queries | |
| Full API reference | Doc links |
microsoft_docs_search(query="{technology} overview what is")
microsoft_docs_search(query="{technology} concepts architecture")
microsoft_docs_search(query="{technology} getting started tutorial")microsoft_docs_fetch(url="...") # Fetch pages from Phase 1
microsoft_code_sample_search(query="{technology}", language="{lang}")microsoft_docs_search(query="{technology} best practices")
microsoft_docs_search(query="{technology} troubleshooting errors"){skill-name}/
├── SKILL.md # Core knowledge + Learn MCP guidance
├── references/ # Detailed local documentation (if needed)
└── sample_codes/ # Working code examples
├── getting-started/
└── common-patterns/"{name} overview" → purpose, architecture
"{name} getting started quickstart" → setup steps
"{name} API reference" → core classes/methods
"{name} samples examples" → code patterns
"{name} best practices performance" → optimization"{service} overview features" → capabilities
"{service} quickstart {language}" → setup code
"{service} REST API reference" → endpoints
"{service} SDK {language}" → client library
"{service} pricing limits quotas" → constraints"{framework} architecture concepts" → mental model
"{framework} project structure" → conventions
"{framework} tutorial walkthrough" → end-to-end flow
"{framework} configuration options" → customizationmicrosoft_docs_search(query="semantic kernel overview")
microsoft_docs_search(query="semantic kernel plugins functions")
microsoft_code_sample_search(query="semantic kernel", language="csharp")
microsoft_docs_fetch(url="https://learn.microsoft.com/semantic-kernel/overview/")semantic-kernel/
├── SKILL.md
└── sample_codes/
├── getting-started/
│ └── hello-kernel.cs
└── common-patterns/
├── chat-completion.cs
└── function-calling.cs---
name: semantic-kernel
description: Build AI agents with Microsoft Semantic Kernel. Use for LLM-powered apps with plugins, planners, and memory in .NET or Python.
---
# Semantic Kernel
Orchestration SDK for integrating LLMs into applications with plugins, planners, and memory.
## Key Concepts
- **Kernel**: Central orchestrator managing AI services and plugins
- **Plugins**: Collections of functions the AI can call
- **Planner**: Sequences plugin functions to achieve goals
- **Memory**: Vector store integration for RAG patterns
## Quick Start
See [getting-started/hello-kernel.cs](sample_codes/getting-started/hello-kernel.cs)
## Learn More
| Topic | How to Find |
|-------|-------------|
| Plugin development | `microsoft_docs_search(query="semantic kernel plugins custom functions")` |
| Planners | `microsoft_docs_search(query="semantic kernel planner")` |
| Memory | `microsoft_docs_fetch(url="https://learn.microsoft.com/en-us/semantic-kernel/frameworks/agent/agent-memory")` |
## CLI Alternative
If the Learn MCP server is not available, use the `mslearn` CLI instead:
| MCP Tool | CLI Command |
|----------|-------------|
| `microsoft_docs_search(query: "...")` | `mslearn search "..."` |
| `microsoft_code_sample_search(query: "...", language: "...")` | `mslearn code-search "..." --language ...` |
| `microsoft_docs_fetch(url: "...")` | `mslearn fetch "..."` |
Run directly with `npx @microsoft/learn-cli <command>` or install globally with `npm install -g @microsoft/learn-cli`.