Agent skill · AI & Agents

semantic-kernel

Build AI applications with Microsoft Semantic Kernel. Create plugins, planners, and memory systems. Use for enterprise AI, copilot development, and Microsoft ecosystem integrations.

majiayu000github.com/majiayu000GitHub ↗
claude-codecopilotMIT
Install
npx skills add majiayu000/claude-skill-registry --skill semantic-kernel-housegarofalo-claude-code-base-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/ai-llm/semantic-kernel-housegarofalo-claude-code-base-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Semantic Kernel Expert guidance for building AI applications with Microsoft's SDK. ## Triggers Use this skill when: - Building enterprise AI applications with Microsoft technologies - Creating copilot-style AI assistants - Working with Semantic Kernel plugins, planners, or memory - Integrating AI into Microsoft ecosystem (Azure, Office, etc.) - Building modular AI applications with plugin architecture - Keywords: semantic kernel, microsoft, plugin, planner, memory, copilot, azure ai ## Installation ### Python ```bash pip install semantic-kernel ``` ### .NET ```bash dotnet add package Microsoft.SemanticKernel ``` ## Quick Start (Python) ```python import semantic_kernel as sk from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion # Create kernel kernel = sk.Kernel() # Add AI service kernel.add_service( OpenAIChatCompletion( service_id="chat", ai_model_id="gpt-4o", api_key="your-key" ) ) # Create and invoke prompt result = await kernel.invoke_prompt("What is the capital of France?") print(result) ``` ## Quick Start (.NET) ```csharp using Microsoft.SemanticKernel; var builder = Kernel.CreateBuilder(); builder.AddOpenAIChatCompletion( modelId: "gpt-4o", apiKey: "your-k

What's inside
Steps it walks through
  1. Triggers
  2. Installation
  3. Python
  4. .NET
  5. Quick Start (Python)
  6. Quick Start (.NET)
  7. Plugins
  8. Semantic Functions (Prompts)
  9. Native Functions
  10. Plugin from Directory
  11. Planners
  12. Function Calling Stepwise Planner
  13. Handlebars Planner
  14. Memory
Ships with 1 file
  • metadata.json
Commands it runs
pip install semantic-kernel
dotnet add package Microsoft.SemanticKernel
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About this skill
What does the semantic-kernel skill do?

Build AI applications with Microsoft Semantic Kernel. Create plugins, planners, and memory systems. Use for enterprise AI, copilot development, and Microsoft ecosystem integrations.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill semantic-kernel-housegarofalo-claude-code-base-2 --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.

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