microsoft-extensions-ai
Use when building provider-agnostic AI applications with Microsoft.Extensions.AI. Covers IChatClient, IEmbeddingGenerator, middleware pipelines, caching, telemetry, and DI integration for chat completions and embeddings. USE FOR: provider-agnostic AI abstractions, dependency-injected chat clients, embedding generation, middleware pipelines (caching, logging, rate limiting), switching between OpenAI/Azure/Ollama without code changes DO NOT USE FOR: Azure-specific model catalog features (use azure-ai-inference), building agent workflows with tools and orchestration (use agent-framework), MCP too
npx skills add majiayu000/claude-skill-registry --skill microsoft-extensions-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Microsoft.Extensions.AI ## Overview Microsoft.Extensions.AI provides a set of provider-agnostic abstractions for AI services in .NET, centered on `IChatClient` for chat completions and `IEmbeddingGenerator<,>` for vector embeddings. It follows the same patterns as `ILogger` and `HttpClient` in .NET -- services program against interfaces, providers are configured at the composition root, and middleware can be composed in pipelines for caching, telemetry, rate limiting, and function calling. ## NuGet Packages ```bash dotnet add package Microsoft.Extensions.AI dotnet add package Microsoft.Extensions.AI.OpenAI # OpenAI / Azure OpenAI provider dotnet add package Microsoft.Extensions.AI.Ollama # Ollama local models dotnet add package Microsoft.Extensions.AI.AzureAIInference # Azure AI model catalog ``` ## Basic Chat Completion ```csharp using Microsoft.Extensions.AI; IChatClient chatClient = new OllamaChatClient(new Uri("http://localhost:11434"), "llama3.1"); var response = await chatClient.GetResponseAsync("What is dependency injection?"); Console.WriteLine(response.Messages.Last().Text); ``` ## Streaming Chat Completion ```csharp using Microsoft.Extensions.AI; IChatClient chatClient
- Overview
- NuGet Packages
- Basic Chat Completion
- Streaming Chat Completion
- Multi-Turn Conversations
- Chat Options
- Best Practices
dotnet add package Microsoft.Extensions.AI dotnet add package Microsoft.Extensions.AI.OpenAI # OpenAI / Azure OpenAI provider dotnet add package Microsoft.Extensions.AI.Ollama # Ollama local models dotnet add package Microsoft.Extensions.AI.AzureAIInference # Azure AI model catalog
What does the microsoft-extensions-ai skill do?
Use when building provider-agnostic AI applications with Microsoft.Extensions.AI. Covers IChatClient, IEmbeddingGenerator, middleware pipelines, caching, telemetry, and DI integration for chat completions and embeddings. USE FOR: provider-agnostic AI abstractions, dependency-injected chat clients, embedding generation, middleware pipelines (caching, logging, rate limiting), switching between OpenAI/Azure/Ollama without code changes DO NOT USE FOR: Azure-specific model catalog features (use azure-ai-inference), building agent workflows with tools and orchestration (use agent-framework), MCP too
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill microsoft-extensions-ai --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.