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Dart Fix Runtime Errors

OrganizationPopular
flutter
dart-fix-runtime-errors

Uses get_runtime_errors and lsp to fetch an active stack trace, locate the failing line, apply a fix, and verify resolution via hot_reload.

Overview

Publisherflutter
Repositoryagent-plugins
Skill namedart-fix-runtime-errors
Stars
3K
Forks
182
Bundled files
Instructions only
LicenseBSD-3-Clause
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 flutter on GitHub. Read the source before you install it.

Installation

Install the Dart Fix Runtime Errors 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/flutter/agent-plugins/tree/main/skills/dart-fix-runtime-errors
  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/flutter/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/skills/dart-fix-runtime-errors .claude/skills/dart-fix-runtime-errors
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dart Fix Runtime Errors 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 Dart Fix Runtime Errors 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 Dart Fix Runtime Errors 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.

Resolving Dart Static Analysis Errors

Contents

Core Concepts & Guidelines

Type System & Soundness

Enforce Dart's sound type system to prevent runtime invalid states.

  • Method Overrides: Maintain sound return types (covariant) and parameter types (contravariant). Never tighten a parameter type in a subclass unless explicitly marked with the covariant keyword.
  • Generics & Collections: Add explicit type annotations to generic classes (e.g., List<T>, Map<K, V>). Never assign a List<dynamic> to a typed list (e.g., List<Cat>).
  • Downcasting: Avoid implicit downcasts from dynamic. Use explicit casts (e.g., as List<Cat>) when necessary, but ensure the underlying runtime type matches to prevent TypeError exceptions.
  • Strict Casts: Enable strict-casts: true in analysis_options.yaml under analyzer: language: to force explicit casting and catch implicit downcast errors at compile time.

Null Safety

Eliminate static errors related to null safety by correctly managing variable initialization and nullability.

  • Modifiers: Apply ? for nullable types, ! for null assertions, and required for named parameters that cannot be null.
  • Late Initialization: Use the late keyword for non-nullable variables guaranteed to be initialized before use. Apply this specifically to top-level or instance variables where Dart's control flow analysis cannot definitively prove initialization.
  • Wildcards: Use the _ wildcard variable (Dart 3.7+) for non-binding local variables or parameters to avoid unused variable warnings.

Error Handling

Distinguish between recoverable exceptions and unrecoverable errors.

  • Catching: Catch Exception subtypes for recoverable failures.
  • Errors: Never explicitly catch Error or its subtypes (e.g., TypeError, ArgumentError). Errors indicate programming bugs that must be fixed, not caught. Enforce this by enabling the avoid_catching_errors linter rule.
  • Rethrowing: Use rethrow inside a catch block to propagate an exception while preserving its original stack trace.

Workflows

Workflow: Static Analysis Resolution

Use this sequential workflow to identify, fix, and verify static analysis errors in a Dart project. Copy the checklist to track your progress.

Task Progress:

  • 1. Run static analyzer.
  • 2. Apply automated fixes.
  • 3. Resolve remaining errors manually.
  • 4. Verify fixes (Feedback Loop).

1. Run static analyzer Execute the Dart analyzer to identify all static errors in the target directory or file.

bash
dart analyze . --fatal-infos

2. Apply automated fixes Use the dart fix tool to automatically resolve standard linting and analysis issues.

bash
# Preview changes
dart fix --dry-run
# Apply changes
dart fix --apply

3. Resolve remaining errors manually Review the remaining analyzer output and apply conditional logic based on the error type:

  • If the error is a Null Safety issue (e.g., "Property cannot be accessed on a nullable receiver"):
    • Verify if the variable can logically be null.
    • If yes, use optional chaining (?.) or provide a fallback (??).
    • If no, and initialization is guaranteed elsewhere, mark the declaration with late.
  • If the error is a Type Mismatch (e.g., "The argument type 'List' can't be assigned..."):
    • Trace the variable's initialization.
    • Add explicit generic type annotations to the instantiation (e.g., <int>[] instead of []).
  • If the error is an Invalid Override (e.g., "The parameter type doesn't match the overridden method"):
    • Widen the parameter type to match the superclass, OR
    • Add the covariant keyword to the parameter if tightening the type is intentionally required by the domain logic.

4. Verify fixes (Feedback Loop) Run the validator. Review errors. Fix.

bash
dart analyze .
dart test
  • If dart analyze reports errors: Return to Step 3.
  • If dart test fails with a TypeError: You have introduced an invalid explicit cast (as T) or accessed an uninitialized late variable. Locate the runtime failure and correct the type hierarchy or initialization order.

Examples

Example: Fixing Dynamic List Assignments

Input (Fails Static Analysis):

dart
void printInts(List<int> a) => print(a);

void main() {
  final list = []; // Inferred as List<dynamic>
  list.add(1);
  list.add(2);
  printInts(list); // Error: List<dynamic> can't be assigned to List<int>
}

Output (Passes Static Analysis):

dart
void printInts(List<int> a) => print(a);

void main() {
  final list = <int>[]; // Explicitly typed
  list.add(1);
  list.add(2);
  printInts(list);
}

Example: Fixing Method Overrides (Contravariance)

Input (Fails Static Analysis):

dart
class Animal {
  void chase(Animal a) {}
}

class Cat extends Animal {
  @override
  void chase(Mouse a) {} // Error: Tightening parameter type
}

Output (Passes Static Analysis):

dart
class Animal {
  void chase(Animal a) {}
}

class Cat extends Animal {
  @override
  void chase(covariant Mouse a) {} // Explicitly marked covariant
}

Example: Fixing Null Safety with late

Input (Fails Static Analysis):

dart
class Thermometer {
  String temperature; // Error: Non-nullable instance field must be initialized

  void read() {
    temperature = '20C';
  }
}

Output (Passes Static Analysis):

dart
class Thermometer {
  late String temperature; // Defers initialization check to runtime

  void read() {
    temperature = '20C';
  }
}

Frequently asked questions

What does the Dart Fix Runtime Errors AI skill do?

Uses get_runtime_errors and lsp to fetch an active stack trace, locate the failing line, apply a fix, and verify resolution via hot_reload.

Why use Dart Fix Runtime Errors on TypingMind?

Because you install it once and use it with any model. Dart Fix Runtime Errors 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 Dart Fix Runtime Errors in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flutter/agent-plugins/tree/main/skills/dart-fix-runtime-errors. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dart Fix Runtime Errors?

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 Dart Fix Runtime Errors?

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

Is the Dart Fix Runtime Errors AI skill free?

Yes. It is published on GitHub by flutter under the BSD-3-Clause 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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