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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionefcore-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches efcore-patterns from aaronontheweb/dotnet-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate efcore-patterns. Access via /efcore-patterns in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Use this skill when:
Configure your DbContext to disable change tracking by default. This improves performance for read-heavy workloads.
public class ApplicationDbContext : DbContext
{
public ApplicationDbContext(DbContextOptions<ApplicationDbContext> options)
: base(options)
{
// Disable change tracking by default for better performance on read-only queries
// Use .AsTracking() explicitly for queries that need to track changes
ChangeTracker.QueryTrackingBehavior = QueryTrackingBehavior.NoTracking;
}
public DbSet<Order> Orders => Set<Order>();
public DbSet<Customer> Customers => Set<Customer>();
}
Read-only queries work normally:
// ✅ Fast read - no tracking overhead
var orders = await dbContext.Orders
.Where(o => o.Status == OrderStatus.Pending)
.ToListAsync();
Writes require explicit handling:
// ❌ WRONG - Entity not tracked, SaveChanges does nothing
var order = await dbContext.Orders.FirstOrDefaultAsync(o => o.Id == orderId);
order.Status = OrderStatus.Shipped;
await dbContext.SaveChangesAsync(); // Nothing happens!
// ✅ CORRECT - Explicitly mark entity for update
var order = await dbContext.Orders.FirstOrDefaultAsync(o => o.Id == orderId);
order.Status = OrderStatus.Shipped;
dbContext.Orders.Update(order); // Marks entire entity as modified
await dbContext.SaveChangesAsync();
// ✅ ALSO CORRECT - Use AsTracking() for the query
var order = await dbContext.Orders
.AsTracking()
.FirstOrDefaultAsync(o => o.Id == orderId);
order.Status = OrderStatus.Shipped;
await dbContext.SaveChangesAsync(); // Works!
| Scenario | Use Tracking? | Why |
|---|---|---|
| Display data in UI | No | Read-only, no updates |
| API GET endpoints | No | Returning data, no mutations |
| Update single entity | Yes or explicit Update() | Need to save changes |
| Complex update with navigation | Yes | Tracking handles relationships |
| Batch operations | No + ExecuteUpdate | More efficient |
public class OrderService
{
private readonly ApplicationDbContext _db;
// CREATE - Always use Add (works regardless of tracking)
public async Task<Order> CreateOrderAsync(Order order)
{
_db.Orders.Add(order);
await _db.SaveChangesAsync();
return order;
}
// UPDATE - Explicitly mark as modified
public async Task UpdateOrderStatusAsync(Guid orderId, OrderStatus newStatus)
{
var order = await _db.Orders.FirstOrDefaultAsync(o => o.Id == orderId)
?? throw new NotFoundException($"Order {orderId} not found");
order.Status = newStatus;
order.UpdatedAt = DateTimeOffset.UtcNow;
// Explicitly mark as modified since DbContext uses NoTracking by default
_db.Orders.Update(order);
await _db.SaveChangesAsync();
}
// DELETE - Attach and remove
public async Task DeleteOrderAsync(Guid orderId)
{
var order = new Order { Id = orderId };
_db.Orders.Remove(order);
await _db.SaveChangesAsync();
}
}
CRITICAL: Always use EF Core CLI commands to manage migrations. Never:
Up()/Down())# Create a new migration
dotnet ef migrations add AddCustomerTable \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# With a specific DbContext (if you have multiple)
dotnet ef migrations add AddCustomerTable \
--context ApplicationDbContext \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# Remove the last migration (if not yet applied)
dotnet ef migrations remove \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# NEVER do this:
# rm Migrations/20240101_AddCustomerTable.cs # ❌ BAD!
# Apply all pending migrations
dotnet ef database update \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# Apply to a specific migration
dotnet ef database update AddCustomerTable \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# Rollback to a previous migration
dotnet ef database update PreviousMigrationName \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
# Generate SQL script for all migrations
dotnet ef migrations script \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api \
--output migrations.sql
# Generate idempotent script (safe to run multiple times)
dotnet ef migrations script \
--idempotent \
--project src/MyApp.Infrastructure \
--startup-project src/MyApp.Api
Separate migration execution from your main application using a dedicated migration service. This ensures:
src/
├── MyApp.AppHost/ # Aspire orchestration
├── MyApp.Api/ # Main application
├── MyApp.Infrastructure/ # DbContext and migrations
└── MyApp.MigrationService/ # Dedicated migration runner
using MyApp.Infrastructure.Data;
usingMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
efcore-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
efcore-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
efcore-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend efcore-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend efcore-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
efcore-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in efcore-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in efcore-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added efcore-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: efcore-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
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