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semantic-kernel

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Build enterprise AI apps with Semantic Kernel — kernel, plugins, planners, and memory abstractions across languages.

skills/semantic-kernel/SKILL.md

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## Overview

Semantic Kernel (SK) is Microsoft's SDK for integrating LLMs into applications,
built around three abstractions: the Kernel (the central orchestrator holding
services, plugins, and memory), Plugins (collections of functions — both semantic
functions defined by prompts and native functions written in code), and Planners
(which decompose goals into function-call sequences). It's designed for enterprise
software teams: strongly typed, multi-language (C#, Python, Java), with connectors
for Azure OpenAI, memory stores, and observability hooks.

The mental model: your application's capabilities are plugins with well-described
functions; the kernel lets the model invoke them; planners chain them toward
goals. SK shines when you need AI inside a larger .NET or Python system with
dependency injection, logging, and testability — less when you want a quick agent