dotnet-skills
Framework AI & Agents v1.0.0

Semantic Kernel for .NET

Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable.

Trigger On

  • adding AI-driven prompts, plugins, or orchestration to a .NET app
  • reviewing kernel construction, service registration, or plugin usage
  • building function-calling patterns with LLMs
  • migrating older Semantic Kernel code to current APIs

Workflow

  1. Build the Kernel with required services
  2. Create Plugins with well-described functions
  3. Configure Function Calling for automatic tool use
  4. Handle Responses and manage conversation state
  5. Test and Observe AI behavior with logging

Deliver

  • kernel setup with clear service and plugin composition
  • AI features that fit naturally into the existing .NET app
  • observable and testable function-calling behavior
  • proper plugin isolation for multi-agent scenarios

Validate

  • plugins have clear, specific descriptions
  • function calling works as expected
  • AI flows are logged and debuggable
  • input validation prevents hallucination issues
  • kernel instances are properly scoped
  • deprecated APIs are not used

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