Complete guide to implementing data persistence as an adapter in hexagonal architecture with entity mappings, repositories, Unit of Work, and migration workflows. Demonstrates one ORM approach; patterns apply to any data access technology.
54 on GitHubby nesbov1.0.0updated 9 months agodotnet
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Plugin data-dotnet from marketplace dotnet-claude-code-skills in nesbo/dotnet-claude-code-skills. Commands read from the repo's manifest — 1 month ago.
Complete integration guide for adding Serena MCP to any software project. Provides IDE-like semantic code understanding through LSP integration, symbol-level navigation, and precise code editing. Includes prerequisites checking, installation steps, configuration templates for C#, Python, TypeScript and more, troubleshooting guide, and advanced configurations.
BDD-style unit testing patterns for domain handlers with in-memory database, TestDataBuilder pattern, fluent builders, and fake implementations - no mocking frameworks. Shown with NUnit examples; patterns apply to any testing framework.
Comprehensive guide to implementing DDD patterns with CQRS, Hexagonal Architecture, aggregates, entities, command/query handlers, and domain best practices. Explained using C# and .NET, but patterns apply to any OOP language.
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
Migrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. AWS Transform - continuous modernization analyzes codebases for tech debt, security issues, and upgrade opportunities, then remediates them.
Skills for building apps with the AG-UI .NET SDK: streaming chat (stateless vs hosted agents), server tools, client tools, human-in-the-loop (approvals & interrupts), shared state, multimodal messages, reasoning traces, protobuf transport, and troubleshooting.
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
Azure SDK patterns and best practices for .NET developers covering AI, resource management, identity, messaging, and Key Vault libraries.
29 skills
microsoft/skills 3,200
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