Agent skill · software engineering · github
microsoft-agent-framework
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
Why this skill is useful
Provides specific language workflows and migration guidance for Microsoft Agent Framework that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
Microsoft Agent Framework Use this skill when working with applications, agents, workflows, or migrations built on Microsoft Agent Framework. Microsoft Agent Framework is the unified successor to Semantic Kernel and AutoGen, combining their strengths with new capabilities. Because it is still in public preview and changes quickly, always ground implementation advice in the latest official documentation and samples rather than relying on stale knowledge. Determine the target language first Choose the language workflow before making recommendations or code changes: 1. Use the .NET workflow when the repository contains .cs, .csproj, .sln, .slnx, or other .NET project files, or when the user explicitly asks for C# or .NET guidance. Follow references/dotnet.md. 2. 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. 3. If the repository contains both ecosystems, match the language used by the files being edited or the user's stated target. 4. If the language is ambiguous, inspect the current workspace first and then choose the closest language-specific reference. Always consult live documentation Read the Microsoft Agent Framework overview first: <https://learn.microsoft.com/agent-framework/overview/agent-framework-overview> Prefer official docs and samples for the current API surface. Use the Microsoft Docs MCP tooling when available to fetch up-to-date framework guidance and examples. Treat older Semantic Kernel or AutoGen patterns as migration inputs, not as the default implementation model. Shared guidance When working with Microsoft Agent Framework in any language: Use async patterns for agent and workflow operations. Implement explicit error handling and logging. Prefer strong typing, clear interfaces, and maintainable composition patterns. Use DefaultAzureCredential when Azure authentication is appropriate. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/microsoft-agent-framework