Entity Framework Core logo

Entity Framework Core

Organization
managedcode
entity-framework-core

Design, tune, or review EF Core data access with proper modeling, migrations, query translation, performance, and lifetime management for modern .NET applications. USE FOR: DbContext, migrations, model configuration, EF queries, tracking, loading, performance, transactions, and EF6 migration decisions. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

Overview

Publishermanagedcode
Repositorydotnet-skills
Skill nameentity-framework-core
Stars
492
Forks
38
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by managedcode on GitHub. Read the source before you install it.

Installation

Install the Entity Framework Core AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/managedcode/dotnet-skills/tree/main/catalog/Frameworks/Entity-Framework-Core/skills/entity-framework-core
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/managedcode/dotnet-skills.git /tmp/dotnet-skills
mkdir -p .claude/skills
cp -r /tmp/dotnet-skills/catalog/Frameworks/Entity-Framework-Core/skills/entity-framework-core .claude/skills/entity-framework-core
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Entity Framework Core in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Entity Framework Core on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Entity Framework Core is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Entity Framework Core

Trigger On

  • working on DbContext, migrations, model configuration, or EF queries
  • reviewing tracking, loading, performance, or transaction behavior
  • porting data access from EF6 or custom repositories to EF Core
  • optimizing slow database queries

Documentation

References

  • patterns.md - Query patterns, tracking strategies, loading strategies, projections, compiled queries, pagination, and temporal tables
  • anti-patterns.md - Common EF Core mistakes including N+1 queries, large contexts, generic repositories, and missing indexes

Workflow

  1. Prefer EF Core for new development unless a documented gap requires Dapper or raw SQL
  2. Keep DbContext lifetime scoped — align with unit of work
  3. Review query translation — check generated SQL, avoid N+1
  4. Treat migrations as first-class — reviewable, not throwaway
  5. Be deliberate about provider behavior — cross-provider but not identical
  6. Validate with query inspection — not just in-memory mental model

Current Upstream Notes

  • EF Core v10.0.11 is a servicing release. It fixes Azure SQL compatibility-level 170 JSON translation so nested OPENJSON projections retain AS JSON, and keeps EF compatible with .NET 11 MemoryExtensions.Min/Max overload additions. Re-run provider-backed JSON queries and compile against the repository's selected target framework after upgrading.
  • The August 2026 EF Core vs EF6 comparison remains the first stop for migration decisions. EF Core is the active cross-platform stack, but EF6-only EDMX/ObjectContext-heavy code should not move without a feature inventory and database-backed equivalence tests.

DbContext Patterns

Basic Configuration

csharp
public class AppDbContext : DbContext
{
    public DbSet<Product> Products => Set<Product>();
    public DbSet<Order> Orders => Set<Order>();

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

// Entity Configuration (Fluent API)
public class ProductConfiguration : IEntityTypeConfiguration<Product>
{
    public void Configure(EntityTypeBuilder<Product> builder)
    {
        builder.HasKey(p => p.Id);
        builder.Property(p => p.Name).HasMaxLength(200).IsRequired();
        builder.HasIndex(p => p.Sku).IsUnique();
        builder.HasMany(p => p.OrderItems).WithOne(oi => oi.Product);
    }
}

Registration with DI

csharp
builder.Services.AddDbContext<AppDbContext>(options =>
    options.UseSqlServer(connectionString)
           .EnableSensitiveDataLogging()  // Dev only
           .EnableDetailedErrors());      // Dev only

// Or with pooling (better performance)
builder.Services.AddDbContextPool<AppDbContext>(options =>
    options.UseSqlServer(connectionString));

Query Patterns

Use AsNoTracking for Read-Only

csharp
// Bad - tracks entities unnecessarily
var products = await db.Products.ToListAsync();

// Good - no tracking overhead
var products = await db.Products
    .AsNoTracking()
    .ToListAsync();

Project to DTOs

csharp
// Bad - loads entire entity graph
var orders = await db.Orders
    .Include(o => o.Items)
    .Include(o => o.Customer)
    .ToListAsync();

// Good - loads only needed data
var orders = await db.Orders
    .Select(o => new OrderDto
    {
        Id = o.Id,
        CustomerName = o.Customer.Name,
        ItemCount = o.Items.Count,
        Total = o.Items.Sum(i => i.Price)
    })
    .ToListAsync();

Avoid N+1 Queries

csharp
// Bad - N+1 problem
foreach (var order in orders)
{
    var items = await db.OrderItems
        .Where(i => i.OrderId == order.Id)
        .ToListAsync();
}

// Good - eager loading
var orders = await db.Orders
    .Include(o => o.Items)
    .ToListAsync();

// Good - split query for large graphs
var orders = await db.Orders
    .Include(o => o.Items)
    .AsSplitQuery()
    .ToListAsync();

Compiled Queries (EF Core 9)

csharp
// Pre-compiled for frequently used queries
private static readonly Func<AppDbContext, int, Task<Product?>> GetProductById =
    EF.CompileAsyncQuery((AppDbContext db, int id) =>
        db.Products.FirstOrDefault(p => p.Id == id));

// Usage
var product = await GetProductById(db, productId);

Migration Patterns

Creating Migrations

bash
# Add migration
dotnet ef migrations add AddProductIndex

# Apply to database
dotnet ef database update

# Generate SQL script
dotnet ef migrations script --idempotent -o migrate.sql

Data Migrations

csharp
public partial class AddProductIndex : Migration
{
    protected override void Up(MigrationBuilder migrationBuilder)
    {
        migrationBuilder.CreateIndex(
            name: "IX_Products_Sku",
            table: "Products",
            column: "Sku",
            unique: true);

        // Data migration (if needed)
        migrationBuilder.Sql(@"
            UPDATE Products
            SET NormalizedName = UPPER(Name)
            WHERE NormalizedName IS NULL");
    }

    protected override void Down(MigrationBuilder migrationBuilder)
    {
        migrationBuilder.DropIndex(
            name: "IX_Products_Sku",
            table: "Products");
    }
}

Anti-Patterns to Avoid

Anti-PatternWhy It's BadBetter Approach
ToList() then filterLoads all data to memoryFilter in query
Multiple DbContext per requestTransaction issuesScoped lifetime
Lazy loading everywhereN+1 queriesExplicit Include
Generic repository wrapperRemoves query powerUse DbContext directly
Ignoring generated SQLHidden performance issuesLog and review
SaveChanges() in loopsMany roundtripsBatch then save

Performance Best Practices

  1. Index frequently queried columns:

    csharp
    builder.HasIndex(p => p.CreatedAt);
    builder.HasIndex(p => new { p.Category, p.Status });
  2. Use pagination:

    csharp
    var page = await db.Products
        .OrderBy(p => p.Id)
        .Skip(pageSize * pageNumber)
        .Take(pageSize)
        .ToListAsync();
  3. Batch updates (EF Core 7+):

    csharp
    await db.Products
        .Where(p => p.Category == "Obsolete")
        .ExecuteDeleteAsync();
    
    await db.Products
        .Where(p => p.Category == "Sale")
        .ExecuteUpdateAsync(p => p.SetProperty(x => x.Price, x => x.Price * 0.9m));
  4. Minimize network roundtrips:

    csharp
    // Bad - 3 roundtrips
    var product = await db.Products.FindAsync(id);
    var reviews = await db.Reviews.Where(r => r.ProductId == id).ToListAsync();
    var related = await db.Products.Where(p => p.Category == product.Category).ToListAsync();
    
    // Good - 1 roundtrip
    var data = await db.Products
        .Where(p => p.Id == id)
        .Select(p => new
        {
            Product = p,
            Reviews = p.Reviews,
            Related = db.Products.Where(r => r.Category == p.Category).Take(5)
        })
        .FirstOrDefaultAsync();

Concurrency Patterns

csharp
public class Product
{
    public int Id { get; set; }
    public string Name { get; set; }

    [ConcurrencyCheck]
    public int Version { get; set; }

    // Or use RowVersion
    [Timestamp]
    public byte[] RowVersion { get; set; }
}

// Handle concurrency conflicts
try
{
    await db.SaveChangesAsync();
}
catch (DbUpdateConcurrencyException ex)
{
    var entry = ex.Entries.Single();
    var databaseValues = await entry.GetDatabaseValuesAsync();
    // Resolve conflict...
}

Deliver

  • EF Core models and queries that match the domain
  • safer migrations and lifetime management
  • performance-aware data access decisions
  • proper indexing and query optimization

Validate

  • query behavior is intentional (check SQL logs)
  • migrations are reviewable and correct
  • no N+1 queries in common paths
  • indexes exist for filtered/sorted columns
  • DbContext lifetime is scoped properly
  • concurrency is handled for critical entities

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Entity Framework Core AI skill do?

Design, tune, or review EF Core data access with proper modeling, migrations, query translation, performance, and lifetime management for modern .NET applications. USE FOR: DbContext, migrations, model configuration, EF queries, tracking, loading, performance, transactions, and EF6 migration decisions. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

Why use Entity Framework Core on TypingMind?

Because you install it once and use it with any model. Entity Framework Core is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Entity Framework Core in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/managedcode/dotnet-skills/tree/main/catalog/Frameworks/Entity-Framework-Core/skills/entity-framework-core. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Entity Framework Core?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Entity Framework Core?

As many as you like. As long as a model supports skills, you can use Entity Framework Core with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Entity Framework Core AI skill free?

Yes. It is published on GitHub by managedcode under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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