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dotnet-semantic-kernel

Build AI-enabled .NET applications with Semantic Kernel using plugins and function calling.

8|Updated Mar 29, 2026
Search Tags:#ai#plugins#dotnet#kernel#function-calling#semantic-kernel
One-click install
npx skills add https://github.com/Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-semantic-kernel-postpartum-genushyacinthus29
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dotnet-semantic-kernel
Source: https://github.com/Postpartum-genushyacinthus29/dotnet-skills/tree/main/skills/dotnet-semantic-kernel
Command: npx skills add https://github.com/Postpartum-genushyacinthus29/dotnet-skills --skill dotnet-semantic-kernel-postpartum-genushyacinthus29

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable.

Core Features & Use Cases

  • Kernel setup: Create and configure a kernel with DI, chat capabilities, and plugin integration to orchestrate AI workflows in a .NET app.
  • Plugin and function patterns: Expose functions as kernel plugins with descriptive metadata and robust routing for automatic or manual function invocation.
  • Multi-agent isolation and testing: Isolate kernels per agent, support safe testing, and maintain observable, debuggable AI behavior.
  • Patterns for memory, prompts, and RAG: Leverage memory storage, prompt templates, and retrieval-augmented patterns to build advanced AI experiences.

Quick Start

Load Semantic Kernel in your .NET app, register a plugin, and begin orchestrating AI tasks with prompts and function calls.

Frequently Asked Questions about dotnet-semantic-kernel

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

FAQPage Schema
How do I build AI-enabled .NET applications with Semantic Kernel?▼

You build AI-enabled .NET applications with Semantic Kernel by setting up a kernel with dependency injection, registering plugins, and orchestrating AI tasks using prompts and function calling. This approach ensures workflows remain testable and maintainable.

Does Semantic Kernel function calling work with .NET dependency injection?▼

Semantic Kernel function calling works with .NET dependency injection by configuring the kernel to expose functions as plugins with descriptive metadata. This enables robust routing for automatic or manual function invocation within enterprise apps.

What's the best way to isolate multiple AI agents in a .NET app?▼

The best way to isolate multiple AI agents in a .NET app is to create separate Semantic Kernel instances per agent. This multi-agent isolation pattern supports safe testing and maintains observable, debuggable AI behavior.

How do I implement retrieval-augmented generation patterns in Semantic Kernel?▼

You implement retrieval-augmented generation patterns in Semantic Kernel by leveraging memory storage and prompt templates. These features allow you to build advanced AI experiences that retrieve external context for your .NET applications.

Do I need .NET 8 to use Semantic Kernel 1.x packages?▼

Yes, you need .NET 8 or later to use Semantic Kernel 1.x packages. This environment requirement ensures compatibility when integrating AI orchestration, plugin usage, and function calling across enterprise services and tools.

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