dotnet-semantic-kernel

Build AI-enabled .NET applications using the Semantic Kernel SDK.

466|35|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/managedcode/dotnet-skills --skill dotnet-semantic-kernel-managedcode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dotnet-semantic-kernel
Source: https://github.com/managedcode/dotnet-skills/tree/main/skills/dotnet-semantic-kernel
Command: npx skills add https://github.com/managedcode/dotnet-skills --skill dotnet-semantic-kernel-managedcode

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of integrating advanced AI capabilities into .NET applications by providing structured guidance and code examples for using the Semantic Kernel SDK.

Core Features & Use Cases

  • Kernel Orchestration: Learn to build and configure the core Semantic Kernel.
  • Plugin Development: Create reusable AI functions and integrate them seamlessly.
  • Function Calling: Implement sophisticated AI interactions using function-calling patterns.
  • Use Case: You need to build a .NET application that can understand user requests, call external APIs (like weather or order systems), and generate natural language responses. This Skill provides the patterns and code to achieve that.

Quick Start

Use the dotnet-semantic-kernel skill to set up a basic kernel with Azure OpenAI chat completion.

Frequently Asked Questions about dotnet-semantic-kernel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate AI function calling into a .NET application?

AI function calling in .NET applications is implemented using the Semantic Kernel SDK to orchestrate AI interactions, register plugins, and map user requests to executable native functions. The Skill provides structured patterns and code examples for configuring this orchestration.

What is the best way to build reusable AI plugins in .NET?

Reusable AI plugins in .NET are built by developing functions within the Semantic Kernel architecture that can be seamlessly integrated and invoked by the core orchestrator. This Skill covers the structured development and registration of these plugins to handle external API interactions.

Does Semantic Kernel work with .NET 8 and what packages are required?

Semantic Kernel requires .NET 8 or later and the Semantic Kernel 1.x packages to function properly in your environment. This Skill specifically targets developers building AI-enabled applications on the .NET 8+ runtime using these 1.x SDK dependencies.

How do I configure the Semantic Kernel for multi-agent patterns?

Configuring the Semantic Kernel for multi-agent patterns involves constructing the core kernel, registering chat completion services, and defining agent interactions. This Skill provides the architectural guidance to implement sophisticated multi-agent orchestration in .NET applications.

Can I use Semantic Kernel to call external APIs like weather or order systems?

Semantic Kernel can call external APIs like weather or order systems through the function calling capabilities of its plugin architecture. This Skill provides the code patterns to let your .NET application understand user requests, execute external API calls, and generate natural language responses.

Why use Semantic Kernel for AI orchestration instead of direct API integration?

Semantic Kernel simplifies AI orchestration by providing a structured SDK to handle kernel construction, plugin management, and function calling, avoiding the complexity of direct API integration. It enables .NET applications to seamlessly bridge natural language requests with executable code.