dotnet-core-expert

jeffallan/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jeffallan/claude-skills --skill dotnet-core-expert
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summary

Expert guidance for building .NET 8 applications with clean architecture, minimal APIs, and cloud-native patterns.

  • Covers minimal APIs, Entity Framework Core, CQRS with MediatR, JWT authentication, and AOT compilation for .NET 8
  • Enforces async/await patterns, nullable reference types, record DTOs, and clean architecture layer separation
  • Includes reference guides for minimal APIs, clean architecture, Entity Framework, authentication, and cloud-native deployment
  • Provides code exampl
skill.md

.NET Core Expert

Core Workflow

  1. Analyze requirements — Identify architecture pattern, data models, API design
  2. Design solution — Create clean architecture layers with proper separation
  3. Implement — Write high-performance code with modern C# features; run dotnet build to verify compilation — if build fails, review errors, fix issues, and rebuild before proceeding
  4. Secure — Add authentication, authorization, and security best practices
  5. Test — Write comprehensive tests with xUnit and integration testing; run dotnet test to confirm all tests pass — if tests fail, diagnose failures, fix the implementation, and re-run before continuing; verify endpoints with curl or a REST client

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Minimal APIs references/minimal-apis.md Creating endpoints, routing, middleware
Clean Architecture references/clean-architecture.md CQRS, MediatR, layers, DI patterns
Entity Framework references/entity-framework.md DbContext, migrations, relationships
Authentication references/authentication.md JWT, Identity, authorization policies
Cloud-Native references/cloud-native.md Docker, health checks, configuration

Constraints

MUST DO

  • Use .NET 8 and C# 12 features
  • Enable nullable reference types: <Nullable>enable</Nullable> in the .csproj
  • Use async/await for all I/O operations — e.g., await dbContext.Users.ToListAsync()
  • Implement proper dependency injection
  • Use record types for DTOs — e.g., public record UserDto(int Id, string Name);
  • Follow clean architecture principles
  • Write integration tests with WebApplicationFactory<Program>
  • Configure OpenAPI/Swagger documentation

MUST NOT DO

  • Use synchronous I/O operations
  • Expose entities directly in API responses
  • Skip input validation
  • Use legacy .NET Framework patterns
  • Mix concerns across architectural layers
  • Use deprecated EF Core patterns

Code Examples

Minimal API Endpoint

// Program.cs
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();
builder.Services.AddMediatR(cfg => cfg.RegisterServicesFromAssembly(typeof(Program).Assembly));

var app = builder.Build();
app.UseSwagger();
app.UseSwaggerUI();

app.MapGet("/users/{id}", async (int id, ISender sender, CancellationToken ct) =>
{
    var result = await sender.Send(new GetUserQuery(id), ct);
    return result is null ? Results.NotFound() : Results.Ok(result);
})
.WithName("GetUser")
.Produces<UserDto>()
.ProducesProblem(404);

app.Run();

MediatR Query Handler

// Application/Users/GetUserQuery.cs
public record GetUserQuery(int Id) : IRequest<UserDto?>;

public sealed class GetUserQueryHandler : IRequestHandler<GetUserQuery, UserDto?>
{
    private readonly AppDbContext _db;

    public GetUserQueryHandler(AppDbContext db) => _db = db;

    public async Task<UserDto?> Handle(GetUserQuery request, CancellationToken ct) =>
        await _db.Users
            .AsNoTracking()
            .Where(u => u.Id == request.Id)
            .Select(u => new UserDto(u.Id, u.Name))
            .FirstOrDefaultAsync(ct);
}

EF Core DbContext with Async Query

// Infrastructure/AppDbContext.cs
public sealed class AppDbContext(DbContextOptions<AppDbContext> options) : DbContext(options)
{
    public DbSet<User> Users => Set<User>();

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly);
    }
}

// Usage in a service
public async Task<IReadOnlyList<UserDto>> GetAllAsync(CancellationToken ct) =>
    await _db.Users
        .AsNoTracking()
        .Select(u => new UserDto(u.Id, u.Name))
        .ToListAsync(ct);

DTO with Record Type

public record UserDto(int Id, string Name);
public record CreateUserRequest(string Name, string Email);

Output Templates

When implementing .NET features, provide:

  1. Project structure (solution/project files)
  2. Domain models and DTOs
  3. API endpoints or service implementations
  4. Database context and migrations if applicable
  5. Brief explanation of architectural decisions
how to use dotnet-core-expert

How to use dotnet-core-expert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add dotnet-core-expert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jeffallan/claude-skills --skill dotnet-core-expert

The skills CLI fetches dotnet-core-expert from GitHub repository jeffallan/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/dotnet-core-expert

Reload or restart Cursor to activate dotnet-core-expert. Access the skill through slash commands (e.g., /dotnet-core-expert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.669 reviews
  • Diego Chawla· Dec 28, 2024

    dotnet-core-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ishan Menon· Dec 24, 2024

    dotnet-core-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Anderson· Dec 8, 2024

    We added dotnet-core-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ishan Abebe· Dec 4, 2024

    Solid pick for teams standardizing on skills: dotnet-core-expert is focused, and the summary matches what you get after install.

  • James Malhotra· Nov 27, 2024

    dotnet-core-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kabir Lopez· Nov 23, 2024

    dotnet-core-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ira Taylor· Nov 19, 2024

    Keeps context tight: dotnet-core-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Malhotra· Nov 15, 2024

    Solid pick for teams standardizing on skills: dotnet-core-expert is focused, and the summary matches what you get after install.

  • Sakshi Patil· Nov 3, 2024

    Useful defaults in dotnet-core-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Oct 22, 2024

    Registry listing for dotnet-core-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

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