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Dotnet Maui Doctor

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dotnet
dotnet-maui-doctor

Diagnoses and fixes .NET MAUI development environment issues. Validates .NET SDK, workloads, Java JDK, Android SDK, Xcode, and Windows SDK. All version requirements discovered dynamically from NuGet WorkloadDependencies.json — never hardcoded. Use when: setting up MAUI development, build errors mentioning SDK/workload/JDK/Android, "Android SDK not found", "Java version" errors, "Xcode not found", environment verification after updates, or any MAUI toolchain issues. Do not use for: non-MAUI .NET projects, Xamarin.Forms apps, runtime app crashes unrelated to environment setup, or app store publishing issues. Works on macOS, Windows, and Linux.

Overview

Publisherdotnet
Repositoryskills
Skill namedotnet-maui-doctor
Stars
5.4K
Forks
416
Bundled files
11
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.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Dotnet Maui Doctor 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/dotnet/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/dotnet-maui/skills/dotnet-maui-doctor .claude/skills/dotnet-maui-doctor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Maui Doctor 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 Maui Doctor 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 Maui Doctor 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.

.NET MAUI Doctor

Validate and fix .NET MAUI development environments. All version requirements are discovered dynamically from NuGet APIs — never hardcode versions.

When to Use

  • Setting up a new .NET MAUI development environment
  • Build errors mentioning missing SDKs, workloads, JDK, or Android components
  • Errors like "Android SDK not found", "Java version", or "Xcode not found"
  • Verifying environment health after SDK or OS updates

When Not to Use

  • Non-MAUI .NET projects (use standard .NET SDK troubleshooting instead)
  • Xamarin.Forms apps (different toolchain and workload requirements)
  • Runtime app crashes unrelated to environment setup
  • App store publishing or signing issues
  • IDE-specific issues (Visual Studio or VS Code configuration)

Important: .NET Version Currency

Your training data may be outdated regarding .NET versions. .NET ships new major releases annually (November). Always check the releases-index.json (Task 2) to discover the latest active major release — do not assume your training data reflects the current version. For example, if you know about .NET 9.0 but the releases index shows .NET 10.0 as active, use .NET 10.0.

Inputs

  • A development machine running macOS, Windows, or Linux
  • Shell access (Bash on macOS/Linux, PowerShell on Windows)
  • Internet access for NuGet API queries and SDK downloads
  • Admin/sudo access may be required for installing SDKs and workloads
  • Bash prerequisites: curl, jq, and unzip (macOS/Linux)
  • PowerShell prerequisites: Invoke-RestMethod and System.IO.Compression (built-in on Windows)

Behavior

  • Run through ALL tasks autonomously
  • Re-validate after each fix
  • Iterate until complete or no further actions possible
  • After detecting platform (Task 1), load only the matching platform-specific references

Workflow

Task 1: Detect Environment

bash
# macOS
sw_vers && uname -m

# Windows
systeminfo | findstr /B /C:"OS Name" /C:"OS Version"

# Linux
cat /etc/os-release && uname -m

After detection, load the matching platform references:

  • macOS: references/platform-requirements-macos.md, references/installation-commands-macos.md, references/troubleshooting-macos.md
  • Windows: references/platform-requirements-windows.md, references/installation-commands-windows.md, references/troubleshooting-windows.md
  • Linux: references/platform-requirements-linux.md

Task 2: Check .NET SDK

bash
dotnet --info

Compare installed vs latest-sdk from https://dotnetcli.blob.core.windows.net/dotnet/release-metadata/releases-index.json where support-phase is "active".

Task 3: Check MAUI Workloads

WorkloadmacOSWindowsLinux
mauiRequiredRequired❌ Use maui-android
maui-androidAliasAliasRequired
androidRequiredRequiredRequired
iosRequiredOptionalN/A

Task 4: Discover Requirements from NuGet

See references/workload-dependencies-discovery.md for complete process.

Query NuGet for workload manifest → extract WorkloadDependencies.json → get:

  • jdk.version range and jdk.recommendedVersion
  • androidsdk.packages, buildToolsVersion, apiLevel
  • xcode.version range

Task 5: Validate Java JDK

Only Microsoft OpenJDK supported. Verify java -version output contains "Microsoft". See references/microsoft-openjdk.md for detection paths.

Use the JDK version recommended by WorkloadDependencies.json (jdk.recommendedVersion), ensuring it satisfies the jdk.version range. Do not hardcode JDK versions.

JAVA_HOME is NOT required. .NET MAUI tools auto-detect Microsoft OpenJDK installations from known paths. Do not tell users to set JAVA_HOME — it is unnecessary and risks pointing to a non-Microsoft JDK.

JAVA_HOME stateOK?Action
Not setNone needed — auto-detection works
Set to Microsoft JDKNone needed
Set to non-Microsoft JDK⚠️Report as anomaly — let user decide to unset or redirect

Task 6: Validate Android SDK

Check packages from androidsdk.packages, buildToolsVersion, apiLevel (Task 4). See references/installation-commands.md for sdkmanager commands.

Task 7: Validate Xcode (macOS Only)

bash
xcodebuild -version

Compare against xcode.version range from Task 4. See references/installation-commands-macos.md.

Task 8: Validate Windows SDK (Windows Only)

The Windows SDK is typically installed as part of the .NET MAUI workload or Visual Studio. See references/installation-commands-windows.md.

Task 9: Remediation

See references/installation-commands.md for all commands.

Key rules:

  • Workloads: Always use --version flag. Never use workload update or workload repair.
  • JDK: Only install Microsoft OpenJDK. Do not set JAVA_HOME (auto-detected).
  • Android SDK: Use sdkmanager (from Android SDK command-line tools). On Windows use sdkmanager.bat.

Task 10: Re-validate

After each fix, re-run the relevant validation task. Iterate until all checks pass.

Validation

A successful run produces:

  • .NET SDK installed and matches an active release
  • All required workloads installed with consistent versions
  • Microsoft OpenJDK detected (java -version contains "Microsoft")
  • All required Android SDK packages installed (per WorkloadDependencies.json)
  • Xcode version in supported range (macOS only)
  • Windows SDK detected (Windows only)

Build Verification (Recommended)

After all checks pass, create and build a test project to confirm the environment actually works:

bash
TEMP_DIR=$(mktemp -d)
dotnet new maui -o "$TEMP_DIR/MauiTest"
dotnet build "$TEMP_DIR/MauiTest"
rm -rf "$TEMP_DIR"

On Windows, use $env:TEMP or New-TemporaryFile for the temp directory.

If the build succeeds, the environment is verified. If it fails, use the error output to diagnose remaining issues.

Run Verification (Optional — Ask User First)

After a successful build, ask the user if they want to launch the app on a target platform to verify end-to-end:

bash
# Replace net10.0 with the current major .NET version
dotnet build -t:Run -f net10.0-android
dotnet build -t:Run -f net10.0-ios        # macOS only
dotnet build -t:Run -f net10.0-maccatalyst # macOS only
dotnet build -t:Run -f net10.0-windows    # Windows only

Only run the target frameworks relevant to the user's platform and intent. This step deploys to an emulator/simulator/device, so confirm with the user before proceeding.

Common Pitfalls

  • maui vs maui-android workload: On Linux, the maui meta-workload is not available — use maui-android instead. On macOS/Windows, maui installs all platform workloads.
  • workload update / workload repair: Never use these commands. Always install workloads with an explicit --version flag to ensure version consistency.
  • Non-Microsoft JDK: Only Microsoft OpenJDK is supported. Other distributions (Oracle, Adoptium, Azul) will cause build failures even if the version is correct.
  • Unnecessary JAVA_HOME: Do not set JAVA_HOME. MAUI auto-detects JDK from known install paths. If JAVA_HOME is set to a non-Microsoft JDK (e.g., Temurin), report this as an anomaly — it may override auto-detection and cause failures. Let the user decide whether to unset it.
  • Hardcoded versions: Never hardcode SDK, workload, or dependency versions. Always discover them dynamically from the NuGet APIs (see Task 4).
  • Android SDK sdkmanager on Windows: Use sdkmanager.bat, not sdkmanager, on Windows.
  • Stale training data: LLM training data may reference outdated .NET versions. Always check the releases-index.json to discover the current active release.

References

  • references/workload-dependencies-discovery.md — NuGet API discovery process
  • references/microsoft-openjdk.md — JDK detection paths, identification, JAVA_HOME
  • references/installation-commands.md — .NET workloads, Android SDK (sdkmanager)
  • references/troubleshooting.md — Common errors and solutions
  • references/platform-requirements-{platform}.md — Platform-specific requirements
  • references/installation-commands-{platform}.md — Platform-specific install commands
  • references/troubleshooting-{platform}.md — Platform-specific troubleshooting

Official docs:

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 Dotnet Maui Doctor AI skill do?

Diagnoses and fixes .NET MAUI development environment issues. Validates .NET SDK, workloads, Java JDK, Android SDK, Xcode, and Windows SDK. All version requirements discovered dynamically from NuGet WorkloadDependencies.json — never hardcoded. Use when: setting up MAUI development, build errors mentioning SDK/workload/JDK/Android, "Android SDK not found", "Java version" errors, "Xcode not found", environment verification after updates, or any MAUI toolchain issues. Do not use for: non-MAUI .NET projects, Xamarin.Forms apps, runtime app crashes unrelated to environment setup, or app store pu...

Why use Dotnet Maui Doctor on TypingMind?

Because you install it once and use it with any model. Dotnet Maui Doctor 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 Maui Doctor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-maui/skills/dotnet-maui-doctor. 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 Dotnet Maui Doctor?

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 Maui Doctor?

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

Is the Dotnet Maui Doctor AI skill free?

Yes. It is published on GitHub by dotnet 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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