sickn33/agentic-awesome-skills

dotnet-backend-patterns

Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).

First seen Jan 28, 2026

Installation

$ npx skills add sickn33/agentic-awesome-skills --skill dotnet-backend-patterns

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Gemini CLI Not declared
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Repository health

Stars 46.2K
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,724 B
  • docs SUMMARY.md 164 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 345 installs

SKILL.md

.NET Backend Development Patterns

Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).

Use this skill when

  • Developing new .NET Web APIs or MCP servers
  • Reviewing C# code for quality and performance
  • Designing service architectures with dependency injection
  • Implementing caching strategies with Redis
  • Writing unit and integration tests
  • Optimizing database access with EF Core or Dapper
  • Configuring applications with IOptions pattern
  • Handling errors and implementing resilience patterns

Do not use this skill when

  • The project is not using .NET or C#
  • You only need frontend or client guidance
  • The task is unrelated to backend architecture

Instructions

  • Define architecture boundaries, modules, and layering.
  • Apply DI, async patterns, and resilience strategies.
  • Validate data access performance and caching.
  • Add tests and observability for critical flows.
  • If detailed patterns are required, open resources/implementation-playbook.md.

Resources

  • resources/implementation-playbook.md for detailed .NET patterns and examples.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.