| name | semantic-kernel |
| description | Create, update, refactor, explain, or review Semantic Kernel solutions for this .NET repository using shared guidance plus .NET-specific references. |
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.
Use the .NET workflow
This repository is .NET-based, so follow references/dotnet.md when making recommendations or code changes.
Always consult live documentation
Shared guidance
When working with Semantic Kernel here:
- Use async patterns for kernel operations.
- Follow official plugin and function-calling patterns.
- Implement explicit error handling and logging.
- Prefer strong typing, clear abstractions, and maintainable composition patterns.
- Use built-in connectors for Azure AI Foundry, Azure OpenAI, OpenAI, and other AI services, while preferring Azure AI Foundry services for new projects when that fits the task.
- Use the kernel's memory and context-management capabilities when they simplify the solution.
- Use
DefaultAzureCredential when Azure authentication is appropriate.
Workflow
- Read the .NET reference file.
- Fetch the latest official docs and samples before making implementation choices.
- Apply the shared Semantic Kernel guidance from this skill.
- Use the .NET package, repository paths, sample paths, and coding practices from the reference.
- When examples in the repo differ from current docs, explain the difference and follow the current supported pattern.
References
Completion criteria
- Recommendations match the .NET target language.
- Package names, repository paths, and sample locations match the selected ecosystem.
- Guidance reflects current Semantic Kernel documentation rather than stale assumptions.
