Semantic Kernel

This one helps Claude work with Microsoft's Semantic Kernel framework across both .NET and Python. It automatically detects which language you're using based on project files, then pulls the right API references and coding patterns for that ecosystem. The key thing here is it forces Claude to check live documentation before suggesting code, which matters because Semantic Kernel's API has changed enough that memory alone leads to outdated patterns. It covers the usual plugin architecture, function calling, and AI service connectors, with a bias toward Azure AI Foundry for new work. If you're building agentic apps or LLM integrations on top of Semantic Kernel, this keeps responses accurate to the current release.

skills.sh installs: 1.7K
GitHub stars: 41K
last updated: Aug 21, 2026

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Install

$ npx -y skills add github/awesome-copilot --skill semantic-kernel --agent claude-code

Installs into .claude/skills of the current project.

Files

Semantic Kernel

Use this skill when working with applications, plugins, function-calling flows, or AI integrations built on Semantic Kernel.

Always ground implementation advice in the latest Semantic Kernel documentation and samples rather than memory alone.

Determine the target language first

Choose the language workflow before making recommendations or code changes:

Use the .NET workflow when the repository contains .cs, .csproj, .sln, or other .NET project files, or when the user explicitly asks for C# or .NET guidance. Follow references/dotnet.md.
Use the Python workflow when the repository contains .py, pyproject.toml, requirements.txt, or the user explicitly asks for Python guidance. Follow references/python.md.
If the repository contains both ecosystems, match the language used by the files being edited or the user's stated target.
If the language is ambiguous, inspect the current workspace first and then choose the closest language-specific reference.