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Dotnet Cli Architecture

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wshaddix
dotnet-cli-architecture

Structuring CLI app layers. Command/handler/service separation, clig.dev principles, exit codes.

Overview

Publisherwshaddix
Repositorydotnet-skills
Skill namedotnet-cli-architecture
Stars
79
Forks
13
Bundled files
Instructions only
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  • 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 wshaddix on GitHub. Read the source before you install it.

Installation

Install the Dotnet Cli Architecture 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/wshaddix/dotnet-skills.git /tmp/dotnet-skills
mkdir -p .claude/skills
cp -r /tmp/dotnet-skills/skills/dotnet-cli-architecture .claude/skills/dotnet-cli-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Cli Architecture 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 Dotnet Cli Architecture 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 Dotnet Cli Architecture 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.

dotnet-cli-architecture

Layered CLI application architecture for .NET: command/handler/service separation following clig.dev principles, configuration precedence (appsettings → environment variables → CLI arguments), structured logging in CLI context, exit code conventions, stdin/stdout/stderr patterns, and testing CLI applications via in-process invocation with output capture.

Version assumptions: .NET 8.0+ baseline. Patterns apply to CLI tools built with System.CommandLine 2.0 and generic host.

Out of scope: System.CommandLine API details (RootCommand, Option, middleware, hosting setup) -- see [skill:dotnet-system-commandline]. Native AOT compilation and publish pipeline -- see [skill:dotnet-native-aot]. CLI distribution, packaging, and release automation -- see [skill:dotnet-cli-distribution] and [skill:dotnet-cli-packaging]. General CI/CD patterns -- see [skill:dotnet-gha-patterns] and [skill:dotnet-ado-patterns]. DI container internals -- see [skill:dotnet-csharp-dependency-injection]. General testing strategies -- see [skill:dotnet-testing-strategy].

Cross-references: [skill:dotnet-system-commandline] for System.CommandLine 2.0 API, [skill:dotnet-native-aot] for AOT publishing CLI tools, [skill:dotnet-csharp-dependency-injection] for DI patterns, [skill:dotnet-csharp-configuration] for configuration integration, [skill:dotnet-testing-strategy] for general testing patterns.


clig.dev Principles for .NET CLI Tools

The Command Line Interface Guidelines provide language-agnostic principles for well-behaved CLI tools. These translate directly to .NET patterns.

Core Principles

PrincipleImplementation
Human-first output by defaultUse Console.Out for data, Console.Error for diagnostics
Machine-readable output with --jsonAdd a --json global option that switches output format
Stderr for status/diagnosticsLogging, progress bars, and prompts go to stderr
Stdout for data onlyPiped output (mycli list | jq .) must not contain log noise
Non-zero exit on failureReturn specific exit codes (see conventions below)
Fail early, fail loudlyValidate inputs before doing work
Respect NO_COLORCheck Environment.GetEnvironmentVariable("NO_COLOR")
Support --verbose and --quietGlobal options controlling output verbosity

Stdout vs Stderr in .NET

csharp
// Data output -- goes to stdout (can be piped)
Console.Out.WriteLine(JsonSerializer.Serialize(result, jsonContext.Options));

// Status/diagnostic output -- goes to stderr (user sees it, pipe ignores it)
Console.Error.WriteLine("Processing 42 files...");

// With ILogger (when using hosting)
// ILogger writes to stderr via console provider by default
logger.LogInformation("Connected to {Endpoint}", endpoint);

Layered Command → Handler → Service Architecture

Separate CLI concerns into three layers:

┌─────────────────────────────────────┐
│  Commands (System.CommandLine)      │  Parse args, wire options
│  ─ RootCommand, Command, Option<T>  │
├─────────────────────────────────────┤
│  Handlers (orchestration)           │  Coordinate services, format output
│  ─ ICommandHandler implementations  │
├─────────────────────────────────────┤
│  Services (business logic)          │  Pure logic, no CLI concerns
│  ─ Interfaces + implementations     │
└─────────────────────────────────────┘

Why Three Layers

  • Commands know about CLI syntax (options, arguments, subcommands) but not business logic
  • Handlers bridge CLI inputs to service calls and format results for output
  • Services contain domain logic and are reusable outside the CLI (tests, libraries, APIs)

Example Structure

src/
  MyCli/
    MyCli.csproj
    Program.cs                    # RootCommand + CommandLineBuilder
    Commands/
      SyncCommandDefinition.cs    # Command, options, arguments
    Handlers/
      SyncHandler.cs              # ICommandHandler, orchestrates services
    Services/
      ISyncService.cs             # Business logic interface
      SyncService.cs              # Implementation (no CLI awareness)
    Output/
      ConsoleFormatter.cs         # Table/JSON output formatting

Command Definition Layer

csharp
// Commands/SyncCommandDefinition.cs
public static class SyncCommandDefinition
{
    public static readonly Option<Uri> SourceOption = new(
        "--source", "Source endpoint URL") { IsRequired = true };

    public static readonly Option<bool> DryRunOption = new(
        "--dry-run", "Preview changes without applying");

    public static Command Create()
    {
        var command = new Command("sync", "Synchronize data from source");
        command.AddOption(SourceOption);
        command.AddOption(DryRunOption);
        return command;
    }
}

Handler Layer

csharp
// Handlers/SyncHandler.cs
public class SyncHandler : ICommandHandler
{
    private readonly ISyncService _syncService;
    private readonly ILogger<SyncHandler> _logger;

    public SyncHandler(ISyncService syncService, ILogger<SyncHandler> logger)
    {
        _syncService = syncService;
        _logger = logger;
    }

    // Bound by naming convention from options
    public Uri Source { get; set; } = null!;
    public bool DryRun { get; set; }

    public int Invoke(InvocationContext context) =>
        InvokeAsync(context).GetAwaiter().GetResult();

    public async Task<int> InvokeAsync(InvocationContext context)
    {
        var ct = context.GetCancellationToken();

        _logger.LogInformation("Syncing from {Source}", Source);

        var result = await _syncService.SyncAsync(Source, DryRun, ct);

        if (result.HasErrors)
        {
            context.Console.Error.Write($"Sync failed: {result.ErrorMessage}\n");
            return ExitCodes.SyncFailed;
        }

        context.Console.Out.Write($"Synced {result.ItemCount} items.\n");
        return ExitCodes.Success;
    }
}

Service Layer

csharp
// Services/ISyncService.cs -- no CLI dependency
public interface ISyncService
{
    Task<SyncResult> SyncAsync(Uri source, bool dryRun, CancellationToken ct);
}

// Services/SyncService.cs
public class SyncService : ISyncService
{
    private readonly HttpClient _httpClient;

    public SyncService(HttpClient httpClient)
    {
        _httpClient = httpClient;
    }

    public async Task<SyncResult> SyncAsync(
        Uri source, bool dryRun, CancellationToken ct)
    {
        // Pure business logic -- testable without CLI infrastructure
        var data = await _httpClient.GetFromJsonAsync<SyncData>(source, ct);
        // ...
        return new SyncResult(ItemCount: data.Items.Length);
    }
}

Configuration Precedence

CLI tools use a specific configuration precedence (lowest to highest priority):

  1. Compiled defaults -- hardcoded fallback values
  2. appsettings.json -- shipped with the tool
  3. appsettings.{Environment}.json -- environment-specific overrides
  4. Environment variables -- set by shell or CI
  5. CLI arguments -- explicit user input (highest priority)

Implementation with Generic Host

csharp
var builder = new CommandLineBuilder(rootCommand)
    .UseHost(_ => Host.CreateDefaultBuilder(args), host =>
    {
        host.ConfigureAppConfiguration((ctx, config) =>
        {
            // Layers 2-3 handled by CreateDefaultBuilder:
            //   appsettings.json, appsettings.{env}.json, env vars

            // Layer 4: User-specific config file
            var configPath = Path.Combine(
                Environment.GetFolderPath(Environment.SpecialFolder.UserProfile),
                ".mycli", "config.json");
            if (File.Exists(configPath))
            {
                config.AddJsonFile(configPath, optional: true);
            }
        });

        // Layer 5: CLI args override everything
        // System.CommandLine options take precedence via handler binding
    })
    .UseDefaults()
    .Build();

User-Level Configuration

Many CLI tools support user-level config (e.g., ~/.mycli/config.json, ~/.config/mycli/config.yaml). Follow platform conventions:

PlatformLocation
Linux/macOS~/.config/mycli/ or ~/.mycli/
Windows%APPDATA%\mycli\
XDG-compliant$XDG_CONFIG_HOME/mycli/

Structured Logging in CLI Context

Configuring Logging for CLI

CLI tools need different logging than web apps: logs go to stderr, and verbosity is controlled by flags.

csharp
host.ConfigureLogging((ctx, logging) =>
{
    logging.ClearProviders();
    logging.AddConsole(options =>
    {
        // Write to stderr, not stdout
        options.LogToStandardErrorThreshold = LogLevel.Trace;
    });
});

Verbosity Mapping

Map --verbose/--quiet flags to log levels:

csharp
public static class VerbosityMapping
{
    public static LogLevel ToLogLevel(bool verbose, bool quiet) => (verbose, quiet) switch
    {
        (true, _) => LogLevel.Debug,
        (_, true) => LogLevel.Warning,
        _ => LogLevel.Information  // default
    };
}

// In host configuration
host.ConfigureLogging((ctx, logging) =>
{
    var level = VerbosityMapping.ToLogLevel(verbose, quiet);
    logging.SetMinimumLevel(level);
});

Exit Code Conventions

Standard Exit Codes

csharp
public static class ExitCodes
{
    public const int Success = 0;
    public const int GeneralError = 1;
    public const int InvalidUsage = 2;    // Bad arguments or options
    public const int IoError = 3;         // File not found, permission denied
    public const int NetworkError = 4;    // Connection failed, timeout
    public const int AuthError = 5;       // Authentication/authorization failure

    // Tool-specific codes start at 10+
    public const int SyncFailed = 10;
    public const int ValidationFailed = 11;
}

Guidelines

  • 0 = success (always)
  • 1 = general/unspecified error
  • 2 = invalid usage (bad arguments) -- System.CommandLine returns this for parse errors automatically
  • 3-9 = reserved for common categories
  • 10+ = tool-specific error codes
  • Never use exit codes > 125 (reserved by shells; 126 = not executable, 127 = not found, 128+N = killed by signal N)

Propagating Exit Codes

csharp
public async Task<int> InvokeAsync(InvocationContext context)
{
    try
    {
        await _service.ProcessAsync(context.GetCancellationToken());
        return ExitCodes.Success;
    }
    catch (HttpRequestException ex)
    {
        _logger.LogError(ex, "Network error");
        context.Console.Error.Write($"Error: {ex.Message}\n");
        return ExitCodes.NetworkError;
    }
    catch (UnauthorizedAccessException ex)
    {
        context.Console.Error.Write($"Permission denied: {ex.Message}\n");
        return ExitCodes.IoError;
    }
}

Stdin/Stdout/Stderr Patterns

Reading from Stdin

Support piped input as an alternative to file arguments:

csharp
public async Task<int> InvokeAsync(InvocationContext context)
{
    string input;

    if (InputFile is not null)
    {
        input = await File.ReadAllTextAsync(InputFile.FullName);
    }
    else if (Console.IsInputRedirected)
    {
        // Read from stdin: echo '{"data":1}' | mycli process
        input = await Console.In.ReadToEndAsync();
    }
    else
    {
        context.Console.Error.Write("Error: Provide input via --file or stdin.\n");
        return ExitCodes.InvalidUsage;
    }

    var result = _processor.Process(input);
    context.Console.Out.Write(JsonSerializer.Serialize(result));
    return ExitCodes.Success;
}

Machine-Readable Output

csharp
// Global --json option for machine-readable output
var jsonOption = new Option<bool>("--json", "Output as JSON");
rootCommand.AddGlobalOption(jsonOption);

// In handler
if (useJson)
{
    Console.Out.WriteLine(JsonSerializer.Serialize(result, jsonContext.Options));
}
else
{
    // Human-friendly table format
    ConsoleFormatter.WriteTable(result, context.Console);
}

Progress to Stderr

csharp
// Progress reporting goes to stderr (does not pollute piped stdout)
await foreach (var item in _service.StreamAsync(ct))
{
    Console.Error.Write($"\rProcessing {item.Index}/{total}...");
    Console.Out.WriteLine(item.ToJson());
}
Console.Error.WriteLine();  // Clear progress line

Testing CLI Applications

In-Process Invocation with CommandLineBuilder

Test the full CLI pipeline without spawning a child process:

csharp
public class CliTestHarness
{
    private readonly RootCommand _rootCommand;
    private readonly Action<IServiceCollection>? _configureServices;

    public CliTestHarness(Action<IServiceCollection>? configureServices = null)
    {
        _rootCommand = Program.BuildRootCommand();
        _configureServices = configureServices;
    }

    public async Task<(int ExitCode, string Stdout, string Stderr)> InvokeAsync(
        string commandLine)
    {
        var console = new TestConsole();

        var builder = new CommandLineBuilder(_rootCommand)
            .UseHost(_ => Host.CreateDefaultBuilder(), host =>
            {
                if (_configureServices is not null)
                {
                    host.ConfigureServices(_configureServices);
                }
            })
            .UseDefaults()
            .Build();

        var exitCode = await builder.InvokeAsync(commandLine, console);

        return (exitCode, console.Out.ToString()!, console.Error.ToString()!);
    }
}

Testing with Service Mocks

csharp
[Fact]
public async Task Sync_WithValidSource_ReturnsZero()
{
    var fakeSyncService = new FakeSyncService(
        new SyncResult(ItemCount: 5));

    var harness = new CliTestHarness(services =>
    {
        services.AddSingleton<ISyncService>(fakeSyncService);
    });

    var (exitCode, stdout, stderr) = await harness.InvokeAsync(
        "sync --source https://api.example.com");

    Assert.Equal(0, exitCode);
    Assert.Contains("Synced 5 items", stdout);
}

[Fact]
public async Task Sync_WithMissingSource_ReturnsNonZero()
{
    var harness = new CliTestHarness();

    var (exitCode, _, stderr) = await harness.InvokeAsync("sync");

    Assert.NotEqual(0, exitCode);
    Assert.Contains("--source", stderr);  // Parse error mentions missing option
}

Exit Code Assertion

csharp
[Theory]
[InlineData("sync --source https://valid.example.com", 0)]
[InlineData("sync", 2)]  // Missing required option
[InlineData("invalid-command", 1)]
public async Task ExitCode_MatchesExpected(string args, int expectedExitCode)
{
    var harness = new CliTestHarness();
    var (exitCode, _, _) = await harness.InvokeAsync(args);
    Assert.Equal(expectedExitCode, exitCode);
}

Testing Output Format

csharp
[Fact]
public async Task List_WithJsonFlag_OutputsValidJson()
{
    var harness = new CliTestHarness(services =>
    {
        services.AddSingleton<IItemRepository>(
            new FakeItemRepository([new Item(1, "Widget")]));
    });

    var (exitCode, stdout, _) = await harness.InvokeAsync("list --json");

    Assert.Equal(0, exitCode);
    var items = JsonSerializer.Deserialize<Item[]>(stdout);
    Assert.NotNull(items);
    Assert.Single(items);
}

[Fact]
public async Task List_StderrContainsLogs_StdoutContainsDataOnly()
{
    var harness = new CliTestHarness();
    var (_, stdout, stderr) = await harness.InvokeAsync("list --json --verbose");

    // Stdout must be valid JSON (no log noise)
    // xUnit: just call it -- if it throws, the test fails
    var doc = JsonDocument.Parse(stdout);
    Assert.NotNull(doc);

    // Stderr contains diagnostic output
    Assert.Contains("Connected to", stderr);
}

Agent Gotchas

  1. Do not write diagnostic output to stdout. Logs, progress, and errors go to stderr. Stdout is reserved for data output that can be piped. A CLI tool that mixes logs into stdout breaks shell pipelines.
  2. Do not hardcode exit code 1 for all errors. Use distinct exit codes for different failure categories (I/O, network, auth, validation). Callers and scripts rely on exit codes to determine what went wrong.
  3. Do not put business logic in command handlers. Handlers should orchestrate calls to injected services and format output. Business logic in handlers cannot be reused or unit-tested independently.
  4. Do not test CLI tools only via process spawning. Use in-process invocation with CommandLineBuilder and TestConsole for fast, reliable tests. Reserve process-level tests for smoke testing the published binary.
  5. Do not ignore Console.IsInputRedirected when accepting stdin. Without checking, the tool may hang waiting for input when invoked without piped data.
  6. Do not use exit codes above 125. Codes 126-255 have special meanings in Unix shells (126 = not executable, 127 = not found, 128+N = killed by signal N). Tool-specific codes should be in the 1-125 range.

References

Frequently asked questions

What does the Dotnet Cli Architecture AI skill do?

Structuring CLI app layers. Command/handler/service separation, clig.dev principles, exit codes.

Why use Dotnet Cli Architecture on TypingMind?

Because you install it once and use it with any model. Dotnet Cli Architecture 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 Dotnet Cli Architecture in TypingMind?

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

Which AI models can use Dotnet Cli Architecture?

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 Dotnet Cli Architecture?

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

Is the Dotnet Cli Architecture AI skill free?

It is published on GitHub by wshaddix. Check the repository for licensing terms. 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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