Winforms logo

Winforms

Organization
managedcode
winforms

Build, maintain, or modernize Windows Forms applications with practical guidance on designer-driven UI, event handling, data binding, MVP separation, and migration to modern .NET. USE FOR: working on Windows Forms UI, event-driven workflows, or classic LOB applications; migrating WinForms from .NET Framework to modern .NET; cleaning up oversized form code. 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 namewinforms
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 Winforms 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/WinForms/skills/winforms
  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/WinForms/skills/winforms .claude/skills/winforms
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Winforms 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 Winforms 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 Winforms 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.

Windows Forms

Trigger On

  • working on Windows Forms UI, event-driven workflows, or classic LOB applications
  • migrating WinForms from .NET Framework to modern .NET
  • cleaning up oversized form code or designer coupling
  • implementing data binding, validation, or control customization

Workflow

  1. Respect designer boundaries — never edit .Designer.cs directly; changes are lost on regeneration.
  2. Separate business logic from forms — use MVP (Model-View-Presenter) pattern. Forms orchestrate UI; presenters contain logic; services handle data access.
    csharp
    // View interface — forms implement this
    public interface ICustomerView
    {
        string CustomerName { get; set; }
        event EventHandler SaveRequested;
        void ShowError(string message);
    }
    
    // Presenter — testable without UI
    public class CustomerPresenter
    {
        private readonly ICustomerView _view;
        private readonly ICustomerService _service;
        public CustomerPresenter(ICustomerView view, ICustomerService service)
        {
            _view = view;
            _service = service;
            _view.SaveRequested += async (s, e) =>
            {
                try { await _service.SaveAsync(_view.CustomerName); }
                catch (Exception ex) { _view.ShowError(ex.Message); }
            };
        }
    }
  3. Use DI from Program.cs (.NET 6+):
    csharp
    var services = new ServiceCollection();
    services.AddSingleton<ICustomerService, CustomerService>();
    services.AddTransient<MainForm>();
    using var sp = services.BuildServiceProvider();
    Application.Run(sp.GetRequiredService<MainForm>());
  4. Use data binding via BindingSource and INotifyPropertyChanged instead of manual control population. See references/patterns.md for complete binding patterns.
  5. Use async/await for I/O operations — disable controls during loading, use Progress<T> for progress reporting. Never block the UI thread.
  6. Validate with ErrorProvider and the Validating event. Call ValidateChildren() before save operations.
  7. Modernize incrementally — prefer better structure over big-bang rewrites. Use .NET 8+ features (button commands, stock icons) when available.

Current Upstream Notes

  • The August 2026 Windows Forms overview remains focused on Windows desktop, designer-driven controls, events, data binding, and migration to modern .NET. It does not change the framework-selection guidance: improve form boundaries and designer safety before proposing a rewrite.
  • For docs-driven updates, validate whether the app targets .NET Framework, modern .NET, or mixed libraries before changing project format, designer files, or deployment assumptions.

Key Decisions

DecisionGuidance
MVP vs MVVMPrefer MVP for WinForms — simpler with event-driven model
BindingSource vs manualAlways prefer BindingSource for list/detail binding
Sync vs async I/OAlways async — use async void only for event handlers
Custom controlsExtract reusable UserControl when form grows beyond ~300 lines
.NET Framework → .NETUse the official migration guide; validate designer compatibility first

Deliver

  • less brittle form code with clear UI/logic separation
  • MVP pattern with testable presenters
  • pragmatic modernization guidance for WinForms-heavy apps
  • data binding and validation patterns that reduce manual wiring

Validate

  • designer files stay stable and are not hand-edited
  • forms are not acting as the application service layer
  • async operations do not block the UI thread
  • validation is implemented consistently with ErrorProvider
  • Windows-only runtime behavior is tested on target

References

  • references/patterns.md - WinForms architectural patterns (MVP, MVVM, Passive View), data binding, validation, form communication, threading, DI setup, and .NET 8+ features
  • references/migration.md - step-by-step migration from .NET Framework to modern .NET, common issues, deployment options, and gradual migration strategies

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 Winforms AI skill do?

Build, maintain, or modernize Windows Forms applications with practical guidance on designer-driven UI, event handling, data binding, MVP separation, and migration to modern .NET. USE FOR: working on Windows Forms UI, event-driven workflows, or classic LOB applications; migrating WinForms from .NET Framework to modern .NET; cleaning up oversized form code. 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 Winforms on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/managedcode/dotnet-skills/tree/main/catalog/Frameworks/WinForms/skills/winforms. 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 Winforms?

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 Winforms?

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

Is the Winforms 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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