smithery/jasonz-ncc42

ms-agent-framework-docs

Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.

Installation

$ npx skills add smithery/jasonz-ncc42 --skill ms-agent-framework-docs

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,629 B
  • docs SUMMARY.md 280 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Microsoft Agent Framework Documentation

Microsoft Agent Framework is a comprehensive SDK for building AI agents in .NET and Python. It provides abstractions for AI integration (Azure AI, OpenAI, Anthropic, Ollama), tool execution, Model Context Protocol (MCP), durable agents with state persistence, workflows, and multi-channel adapters (Teams, WebChat, DirectLine).

Quick Reference

Topic Entry Point
Project overview references/README.md
FAQ & nightly builds references/docs/FAQS.md
.NET samples references/dotnet/samples/README.md
.NET getting started references/dotnet/samples/GettingStarted/README.md
Python samples references/python/samples/README.md
Architecture decisions references/docs/decisions/README.md
Durable agents TTL references/docs/features/durable-agents/durable-agents-ttl.md
Azure Functions hosting references/dotnet/samples/AzureFunctions/README.md
Workflows references/dotnet/samples/GettingStarted/Workflows/README.md

When to use

Use this skill when the user asks about:

  • Building AI agents with Microsoft Agent Framework
  • .NET or Python agent development
  • MCP (Model Context Protocol) servers and clients
  • Durable agents and session state management
  • Agent tools and tool execution
  • Teams, WebChat, or DirectLine adapters
  • Agent-to-agent (A2A) communication
  • Azure AI, OpenAI, Anthropic, or Ollama integration
  • AG-UI (Agent UI) protocol implementation
  • Workflows and orchestration patterns
  • Azure Functions agent hosting

How to find information

  1. First, read references/STRUCTURE.md to see all available documentation files
  2. Identify the relevant section/files based on the user's question
  3. Read specific files for detailed information

STRUCTURE.md contains a complete file listing organized by directory - always check it first before searching.

Key Directories

  • dotnet/samples/GettingStarted/ - Step-by-step .NET tutorials
  • dotnet/samples/AzureFunctions/ - Serverless hosting examples
  • dotnet/samples/GettingStarted/AgentProviders/ - LLM provider integration
  • dotnet/samples/GettingStarted/Workflows/ - Workflow patterns
  • python/samples/getting_started/ - Python tutorials
  • docs/decisions/ - Architecture Decision Records (ADRs)