Blazor logo

Blazor

Organization
Mindrally
blazor

Guidelines for Blazor development including component lifecycle, state management, and performance optimization

Overview

PublisherMindrally
Repositoryskills
Skill nameblazor
Stars
259
Forks
41
Bundled files
Instructions only
LicenseApache-2.0
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 Mindrally on GitHub. Read the source before you install it.

Installation

Install the Blazor 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.
  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/Mindrally/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/blazor .claude/skills/blazor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blazor 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 Blazor 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 Blazor 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.

Blazor Development Guidelines

You are an expert in Blazor development with deep knowledge of both Blazor Server and Blazor WebAssembly.

Component Architecture

Component Design

  • Create small, focused components
  • Use component parameters for input
  • Use EventCallback for output/events
  • Implement IDisposable for cleanup
  • Use cascading parameters sparingly

Component Structure

razor
@page "/users/{Id:int}"
@inject IUserService UserService

<h1>@User?.Name</h1>

@code {
    [Parameter]
    public int Id { get; set; }

    private User? User { get; set; }

    protected override async Task OnInitializedAsync()
    {
        User = await UserService.GetUserAsync(Id);
    }
}

Component Lifecycle

Lifecycle Methods

  • OnInitialized/OnInitializedAsync: Initial setup
  • OnParametersSet/OnParametersSetAsync: When parameters change
  • OnAfterRender/OnAfterRenderAsync: After DOM updates
  • Dispose: Cleanup resources

Best Practices

  • Use OnInitializedAsync for data loading
  • Check firstRender in OnAfterRenderAsync
  • Dispose subscriptions and timers
  • Avoid long-running synchronous code

Data Binding

One-Way Binding

razor
<p>@message</p>
<input value="@inputValue" />

Two-Way Binding

razor
<input @bind="inputValue" />
<input @bind="inputValue" @bind:event="oninput" />

Event Handling

razor
<button @onclick="HandleClick">Click</button>
<button @onclick="() => HandleClickWithParam(id)">Click</button>
<button @onclick="HandleClickAsync">Async Click</button>

Render Optimization

Prevent Unnecessary Renders

  • Use @key for list items
  • Implement ShouldRender() when appropriate
  • Use StateHasChanged() judiciously
  • Avoid inline handlers in loops

Virtualization

razor
<Virtualize Items="@items" Context="item">
    <ItemContent>
        <div>@item.Name</div>
    </ItemContent>
</Virtualize>

State Management

Component State

  • Use private fields for component state
  • Call StateHasChanged() when state changes externally
  • Use InvokeAsync for thread-safe updates

Cascading Parameters

razor
<CascadingValue Value="@currentTheme">
    <ChildComponent />
</CascadingValue>

<!-- In child component -->
[CascadingParameter]
public Theme CurrentTheme { get; set; }

State Containers

  • Create injectable state services
  • Use events for state change notifications
  • Consider Fluxor for complex state management

Blazor Server vs WebAssembly

Blazor Server

  • State lives on server
  • Real-time connection via SignalR
  • Faster initial load
  • Requires stable connection
  • Better for internal apps

Blazor WebAssembly

  • Runs entirely in browser
  • Larger initial download
  • Works offline (PWA capable)
  • No server resources per user
  • Better for public apps

API Integration

HTTP Client

csharp
@inject HttpClient Http

private async Task LoadData()
{
    users = await Http.GetFromJsonAsync<List<User>>("api/users");
}

Error Handling

csharp
try
{
    users = await Http.GetFromJsonAsync<List<User>>("api/users");
}
catch (HttpRequestException ex)
{
    errorMessage = "Failed to load users";
}

Error Handling

Error Boundaries

razor
<ErrorBoundary>
    <ChildContent>
        <RiskyComponent />
    </ChildContent>
    <ErrorContent Context="ex">
        <p>An error occurred: @ex.Message</p>
    </ErrorContent>
</ErrorBoundary>

Global Error Handling

  • Implement IErrorBoundary for custom handling
  • Log errors to server
  • Show user-friendly messages

Testing

bUnit Testing

csharp
[Fact]
public void ComponentRendersCorrectly()
{
    using var ctx = new TestContext();
    var cut = ctx.RenderComponent<Counter>();

    cut.Find("p").MarkupMatches("<p>Current count: 0</p>");
    cut.Find("button").Click();
    cut.Find("p").MarkupMatches("<p>Current count: 1</p>");
}

Authentication

Setup

  • Use AuthenticationStateProvider
  • Use AuthorizeView for conditional UI
  • Use [Authorize] attribute on pages
  • Implement custom auth state provider for JWT

AuthorizeView

razor
<AuthorizeView>
    <Authorized>
        <p>Welcome, @context.User.Identity?.Name!</p>
    </Authorized>
    <NotAuthorized>
        <p>Please log in.</p>
    </NotAuthorized>
</AuthorizeView>

Performance Tips

  • Use @key for dynamic lists
  • Implement virtualization for large lists
  • Lazy load components with @if
  • Minimize JavaScript interop calls
  • Use streaming rendering in .NET 8+

Frequently asked questions

What does the Blazor AI skill do?

Guidelines for Blazor development including component lifecycle, state management, and performance optimization

Why use Blazor on TypingMind?

Because you install it once and use it with any model. Blazor 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 Blazor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mindrally/skills/tree/main/blazor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blazor?

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 Blazor?

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

Is the Blazor AI skill free?

Yes. It is published on GitHub by Mindrally under the Apache-2.0 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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