Agent skill · DevOps & Cloud

microsoft-agent-framework

Expert guidance for building AI agents and multi-agent workflows using Microsoft Agent Framework for .NET. Use when (1) creating AI agents with OpenAI or Azure OpenAI, (2) implementing function tools and structured outputs, (3) building multi-turn conversations, (4) designing graph-based workflows with streaming/checkpointing, (5) implementing middleware pipelines, (6) orchestrating multi-agent systems with fan-out/fan-in patterns, (7) adding human-in-the-loop interactions, (8) integrating OpenTelemetry observability, or (9) exposing agents as MCP tools.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill microsoft-agent-framework-salmanferozkhan-cloud-and-fast-api --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/agent/microsoft-agent-framework-salmanferozkhan-cloud-and-fast-api/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Microsoft Agent Framework for .NET ## Overview Microsoft Agent Framework is a framework for building, orchestrating, and deploying AI agents and multi-agent workflows. It provides graph-based workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities. ## Installation ```bash # Core AI package dotnet add package Microsoft.Agents.AI # OpenAI/Azure OpenAI support dotnet add package Microsoft.Agents.AI.OpenAI --prerelease # Google Gemini support (via Microsoft.Extensions.AI) dotnet add package Mscc.GenerativeAI.Microsoft # Azure identity for authentication dotnet add package Azure.Identity ``` ## Quick Start ### Basic Agent with OpenAI ```csharp using Microsoft.Agents.AI; using OpenAI; var agent = new OpenAIClient("<api-key>") .GetOpenAIResponseClient("gpt-4o-mini") .CreateAIAgent( name: "Assistant", instructions: "You are a helpful assistant." ); Console.WriteLine(await agent.RunAsync("Hello!")); ``` ### Azure OpenAI with Azure CLI Auth ```csharp using Azure.AI.OpenAI; using Azure.Identity; using Microsoft.Agents.AI; var agent = new AzureOpenAIClient( new Uri("https://<resource>.openai.azure.com/"), new AzureCliCredential()) .GetChatClient("gpt-4o-mini"

What's inside
Steps it walks through
  1. Overview
  2. Installation
  3. Quick Start
  4. Basic Agent with OpenAI
  5. Azure OpenAI with Azure CLI Auth
  6. Azure OpenAI with Bearer Token
  7. Google Gemini
  8. Function Tools
  9. Function Tools with Approval
  10. Structured Output
  11. Multi-Turn Conversations
  12. Persisted Conversations
  13. Middleware
  14. Multi-Modal (Images)
Ships with 1 file
  • metadata.json
Commands it runs
Core AI package
dotnet add package Microsoft.Agents.AI
OpenAI/Azure OpenAI support
dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
Google Gemini support (via Microsoft.Extensions.AI)
dotnet add package Mscc.GenerativeAI.Microsoft
Azure identity for authentication
dotnet add package Azure.Identity
More from claude-skill-registry
All skills →
About this skill
What does the microsoft-agent-framework skill do?

Expert guidance for building AI agents and multi-agent workflows using Microsoft Agent Framework for .NET. Use when (1) creating AI agents with OpenAI or Azure OpenAI, (2) implementing function tools and structured outputs, (3) building multi-turn conversations, (4) designing graph-based workflows with streaming/checkpointing, (5) implementing middleware pipelines, (6) orchestrating multi-agent systems with fan-out/fan-in patterns, (7) adding human-in-the-loop interactions, (8) integrating OpenTelemetry observability, or (9) exposing agents as MCP tools.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill microsoft-agent-framework-salmanferozkhan-cloud-and-fast-api --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going