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/semantic-kernel

@9272be1 official
by githubgithub/awesome-copilot40k stars
5,040

Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.

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Use this Skill: https://skilld.dev/gh/github/awesome-copilot/semantic-kernel

This session only. Nothing lands on disk.

referencesdotnet.md

≈169 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Semantic Kernel for .NET

Use this reference when the target project is written in C# or another .NET language.

Authoritative sources

.NET-specific guidance

  • Use async/await patterns consistently for kernel operations.
  • Follow .NET best practices with strong typing and explicit interfaces.
  • Keep service registration, configuration, and authentication aligned with standard .NET hosting patterns.
  • Check the latest .NET samples before introducing new APIs, plugins, or orchestration patterns.

Source: SKILL.md on GitHub

Third-party checks

1 warning16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides guidelines and reference workflows for developing application logic using the Semantic Kernel framework in .NET and Python. No security risks or malicious behaviors were found.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    3 files scanned · No issues

  • ZeroLeaks5mo

    1 finding · Score: 69/100

Provenance

Signed by skilld at 9272be1. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 7 months ago

Topics

  • Python
  • semantic-kernel
  • dotnet
  • ai-integration
  • function-calling
  • plugins
  • azure-openai
  • llm

README badge

README badge for github/awesome-copilot/semantic-kernel

What it does

Guides creation and refactoring of Semantic Kernel applications in .NET or Python, grounding recommendations in current official documentation and language-specific best practices. Covers plugin development, function-calling flows, and AI service integration for both ecosystems.

Generated from the current SKILL.md.

Frequently asked

Does this skill support both .NET and Python?
Yes. The skill includes language-specific references for .NET and Python. It determines the target language first by inspecting project files (.cs, .csproj for .NET; .py, pyproject.toml for Python) or explicit user requests, then applies language-appropriate guidance.
Does this skill rely on cached knowledge or live documentation?
It prioritizes live documentation. The skill directs you to consult the official Semantic Kernel documentation and samples rather than relying on memory alone, and uses Microsoft Docs MCP tooling when available to fetch current API surface and examples.
What AI services does this skill recommend?
The skill covers built-in connectors for Azure AI Foundry, Azure OpenAI, OpenAI, and other AI services, with a preference for Azure AI Foundry services in new projects when appropriate.
Does this skill handle plugin and function-calling patterns?
Yes. It covers creation, updates, refactoring, and review of Semantic Kernel solutions including plugins, function-calling flows, and AI integrations, following official plugin and function-calling patterns.

Generated from the current SKILL.md. These answers refresh after source changes.