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Type Design Performance

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Aaronontheweb
type-design-performance

Design .NET types for performance. Seal classes, use readonly structs, prefer static pure functions, avoid premature enumeration, and choose the right collection types.

Overview

PublisherAaronontheweb
Repositorydotnet-skills
Skill nametype-design-performance
Stars
1.2K
Forks
110
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Type Design Performance 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/Aaronontheweb/dotnet-skills/tree/master/skills/csharp-type-design-performance
  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/Aaronontheweb/dotnet-skills.git /tmp/dotnet-skills
mkdir -p .claude/skills
cp -r /tmp/dotnet-skills/skills/csharp-type-design-performance .claude/skills/type-design-performance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Type Design Performance 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 Type Design Performance 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 Type Design Performance 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.

Type Design for Performance

When to Use This Skill

Use this skill when:

  • Designing new types and APIs
  • Reviewing code for performance issues
  • Choosing between class, struct, and record
  • Working with collections and enumerables

Core Principles

  1. Seal your types - Unless explicitly designed for inheritance
  2. Prefer readonly structs - For small, immutable value types
  3. Prefer static pure functions - Better performance and testability
  4. Defer enumeration - Don't materialize until you need to
  5. Return immutable collections - From API boundaries

Seal Classes by Default

Sealing classes enables JIT devirtualization and communicates API intent.

csharp
// DO: Seal classes not designed for inheritance
public sealed class OrderProcessor
{
    public void Process(Order order) { }
}

// DO: Seal records (they're classes)
public sealed record OrderCreated(OrderId Id, CustomerId CustomerId);

// DON'T: Leave unsealed without reason
public class OrderProcessor  // Can be subclassed - intentional?
{
    public virtual void Process(Order order) { }  // Virtual = slower
}

Benefits:

  • JIT can devirtualize method calls
  • Communicates "this is not an extension point"
  • Prevents accidental breaking changes

Readonly Structs for Value Types

Structs should be readonly when immutable. This prevents defensive copies.

csharp
// DO: Readonly struct for immutable value types
public readonly record struct OrderId(Guid Value)
{
    public static OrderId New() => new(Guid.NewGuid());
    public override string ToString() => Value.ToString();
}

// DO: Readonly struct for small, short-lived data
public readonly struct Money
{
    public decimal Amount { get; }
    public string Currency { get; }

    public Money(decimal amount, string currency)
    {
        Amount = amount;
        Currency = currency;
    }
}

// DON'T: Mutable struct (causes defensive copies)
public struct Point  // Not readonly!
{
    public int X { get; set; }  // Mutable!
    public int Y { get; set; }
}

When to Use Structs

Use Struct WhenUse Class When
Small (≤16 bytes typically)Larger objects
Short-livedLong-lived
Frequently allocatedShared references needed
Value semantics requiredIdentity semantics required
ImmutableMutable state

Prefer Static Pure Functions

Static methods with no side effects are faster and more testable.

csharp
// DO: Static pure function
public static class OrderCalculator
{
    public static Money CalculateTotal(IReadOnlyList<OrderItem> items)
    {
        var total = items.Sum(i => i.Price * i.Quantity);
        return new Money(total, "USD");
    }
}

// Usage - predictable, testable
var total = OrderCalculator.CalculateTotal(items);

Benefits:

  • No vtable lookup (faster)
  • No hidden state
  • Easier to test (pure input → output)
  • Thread-safe by design
  • Forces explicit dependencies
csharp
// DON'T: Instance method hiding dependencies
public class OrderCalculator
{
    private readonly ITaxService _taxService;  // Hidden dependency
    private readonly IDiscountService _discountService;  // Hidden dependency

    public Money CalculateTotal(IReadOnlyList<OrderItem> items)
    {
        // What does this actually depend on?
    }
}

// BETTER: Explicit dependencies via parameters
public static class OrderCalculator
{
    public static Money CalculateTotal(
        IReadOnlyList<OrderItem> items,
        decimal taxRate,
        decimal discountPercent)
    {
        // All inputs visible
    }
}

Don't go overboard - Use instance methods when you genuinely need state or polymorphism.


Defer Enumeration

Don't materialize enumerables until necessary. Avoid excessive LINQ chains.

csharp
// BAD: Premature materialization
public IReadOnlyList<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .ToList()  // Materialized!
        .OrderBy(o => o.CreatedAt)  // Another iteration
        .ToList();  // Materialized again!
}

// GOOD: Defer until the end
public IReadOnlyList<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .OrderBy(o => o.CreatedAt)
        .ToList();  // Single materialization
}

// GOOD: Return IEnumerable if caller might not need all items
public IEnumerable<Order> GetActiveOrders()
{
    return _orders
        .Where(o => o.IsActive)
        .OrderBy(o => o.CreatedAt);
    // Caller decides when to materialize
}

Async Enumeration

Be careful with async and IEnumerable:

csharp
// BAD: Async in LINQ - hidden allocations
var results = orders
    .Select(async o => await ProcessOrderAsync(o))  // Task per item!
    .ToList();
await Task.WhenAll(results);

// GOOD: Use IAsyncEnumerable for streaming
public async IAsyncEnumerable<OrderResult> ProcessOrdersAsync(
    IEnumerable<Order> orders,
    [EnumeratorCancellation] CancellationToken ct = default)
{
    foreach (var order in orders)
    {
        ct.ThrowIfCancellationRequested();
        yield return await ProcessOrderAsync(order, ct);
    }
}

// GOOD: Batch processing for parallelism
var results = await Task.WhenAll(
    orders.Select(o => ProcessOrderAsync(o)));

ValueTask vs Task

Use ValueTask for hot paths that often complete synchronously. For real I/O, just use Task.

csharp
// DO: ValueTask for cached/synchronous paths
public ValueTask<User?> GetUserAsync(UserId id)
{
    if (_cache.TryGetValue(id, out var user))
    {
        return ValueTask.FromResult<User?>(user);  // No allocation
    }

    return new ValueTask<User?>(FetchUserAsync(id));
}

// DO: Task for real I/O (simpler, no footguns)
public Task<Order> CreateOrderAsync(CreateOrderCommand cmd)
{
    // This always hits the database
    return _repository.CreateAsync(cmd);
}

ValueTask rules:

  • Never await a ValueTask more than once
  • Never use .Result or .GetAwaiter().GetResult() before completion
  • If in doubt, use Task

Span and Memory for Bytes

Use Span<T> and Memory<T> instead of byte[] for low-level operations.

csharp
// DO: Accept Span for synchronous operations
public static int ParseInt(ReadOnlySpan<char> text)
{
    return int.Parse(text);
}

// DO: Accept Memory for async operations
public async Task WriteAsync(ReadOnlyMemory<byte> data)
{
    await _stream.WriteAsync(data);
}

// DON'T: Force array allocation
public static int ParseInt(string text)  // String allocated
{
    return int.Parse(text);
}

Common Span Patterns

csharp
// Slice without allocation
ReadOnlySpan<char> span = "Hello, World!".AsSpan();
var hello = span[..5];  // No allocation

// Stack allocation for small buffers
Span<byte> buffer = stackalloc byte[256];

// Use ArrayPool for larger buffers
var buffer = ArrayPool<byte>.Shared.Rent(4096);
try
{
    // Use buffer...
}
finally
{
    ArrayPool<byte>.Shared.Return(buffer);
}

Collection Return Types

Return Immutable Collections from APIs

csharp
// DO: Return immutable collection
public IReadOnlyList<Order> GetOrders()
{
    return _orders.ToList();  // Caller can't modify internal state
}

// DO: Use frozen collections for static data (.NET 8+)
private static readonly FrozenDictionary<string, Handler> _handlers =
    new Dictionary<string, Handler>
    {
        ["create"] = new CreateHandler(),
        ["update"] = new UpdateHandler(),
    }.ToFrozenDictionary();

// DON'T: Return mutable collection
public List<Order> GetOrders()
{
    return _orders;  // Caller can modify!
}

Internal Mutation is Fine

csharp
public IReadOnlyList<OrderItem> BuildOrderItems(Cart cart)
{
    var items = new List<OrderItem>();  // Mutable internally

    foreach (var cartItem in cart.Items)
    {
        items.Add(CreateOrderItem(cartItem));
    }

    return items;  // Return as IReadOnlyList
}

Collection Guidelines

ScenarioReturn Type
API boundaryIReadOnlyList<T>, IReadOnlyCollection<T>
Static lookup dataFrozenDictionary<K,V>, FrozenSet<T>
Internal buildingList<T>, then return as readonly
Single item or noneT? (nullable)
Zero or more, lazyIEnumerable<T>

Quick Reference

PatternBenefit
sealed classDevirtualization, clear API
readonly record structNo defensive copies, value semantics
Static pure functionsNo vtable, testable, thread-safe
Defer .ToList()Single materialization
ValueTask for hot pathsAvoid Task allocation
Span<T> for bytesStack allocation, no copying
IReadOnlyList<T> returnImmutable API contract
FrozenDictionaryFastest lookup for static data

Anti-Patterns

csharp
// DON'T: Unsealed class without reason
public class OrderService { }  // Seal it!

// DON'T: Mutable struct
public struct Point { public int X; public int Y; }  // Make readonly

// DON'T: Instance method that could be static
public int Add(int a, int b) => a + b;  // Make static

// DON'T: Multiple ToList() calls
items.Where(...).ToList().OrderBy(...).ToList();  // One ToList at end

// DON'T: Return List<T> from public API
public List<Order> GetOrders();  // Return IReadOnlyList<T>

// DON'T: ValueTask for always-async operations
public ValueTask<Order> CreateOrderAsync();  // Just use Task

Resources

Frequently asked questions

What does the Type Design Performance AI skill do?

Design .NET types for performance. Seal classes, use readonly structs, prefer static pure functions, avoid premature enumeration, and choose the right collection types.

Why use Type Design Performance on TypingMind?

Because you install it once and use it with any model. Type Design Performance 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 Type Design Performance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Aaronontheweb/dotnet-skills/tree/master/skills/csharp-type-design-performance. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Type Design Performance?

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 Type Design Performance?

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

Is the Type Design Performance AI skill free?

Yes. It is published on GitHub by Aaronontheweb 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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