Semantic Kernel
Build AI-enabled .NET applications with Semantic Kernel using services, plugins...
Install
npx skills add managedcode/dotnet-skills --skill semantic-kernel -g -a claude-code -y- Repository
- managedcode/dotnet-skills500
- Category
- Testing
- Updated
- 6d ago
- License
- MIT
- Context cost
- Mediumabout 2,588 tokens
- Runs scripts
- No, instructions only
What it does
Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable. USE FOR: adding AI-driven prompts, plugins, or orchestration to a .NET app; reviewing kernel construction, service registration, or plugin usage; building function-calling. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
Semantic Kernel for .NET
Trigger On
- adding AI-driven prompts, plugins, or orchestration to a .NET app
- reviewing kernel construction, service registration, or plugin usage
- building function-calling patterns with LLMs
- migrating older Semantic Kernel code to current APIs
Documentation
- Semantic Kernel Overview
- Plugins and Functions
- Agent Functions
- GitHub Repository
- Semantic Kernel .NET 1.80.1 release
- Microsoft Agent Framework
References
- patterns.md - Plugin patterns, function calling patterns, multi-agent patterns, prompt templates, and RAG patterns
- anti-patterns.md - Common Semantic Kernel mistakes and how to avoid them
Core Concepts
| Concept | Description |
|---|---|
| Kernel | Central orchestrator for AI services and plugins |
| Plugin | Collection of functions exposed to the LLM |
| Function | Native C# method or prompt template |
| Chat Completion | LLM service for generating responses |
| Memory | Vector storage for semantic search |
