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Dart Matcher Best Practices

Community
kevmoo
dart-matcher-best-practices

Best practices for using `expect` and `package:matcher`. Focuses on readable assertions, proper matcher selection, and avoiding common pitfalls.

Overview

Publisherkevmoo
Repositorydash_skills
Skill namedart-matcher-best-practices
Stars
148
Forks
16
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Dart Matcher Best Practices 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/kevmoo/dash_skills/tree/main/skills/dart-matcher-best-practices
  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/kevmoo/dash_skills.git /tmp/dash_skills
mkdir -p .claude/skills
cp -r /tmp/dash_skills/skills/dart-matcher-best-practices .claude/skills/dart-matcher-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dart Matcher Best Practices 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 Matcher Best Practices 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 Matcher Best Practices 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.

Dart Matcher Best Practices

When to use this skill

Use this skill when:

  • Writing assertions using expect and package:matcher.
  • Migrating legacy manual checks to cleaner matchers.
  • Debugging confusing test failures.

When NOT to use (Abstention Guardrails)

Do NOT apply this skill or refactor assertions when:

  • Non-Collection Properties: The property happens to be named .length but belongs to a non-collection class (e.g. geometric scalar magnitude on a Vector, duration on a buffer, or line segment distance). hasLength(n) expects an int on an Iterable, Map, or String.
  • Custom Domain Booleans: The boolean check tests an arbitrary domain property (e.g. expect(switch.isEnabled, isTrue)). Do not invent non-existent matchers.
  • Alternative Assertion Frameworks: The package has adopted package:checks (check(x)...). Do not revert checks back to package:matcher.
  • Already Idiomatic Assertions: Tests already use declarative matchers (hasLength, isEmpty, isNotEmpty, contains, containsPair, isA, throwsA). Abstain and make zero modifications.

Discovery

To find candidates for improving matcher usage, search for suboptimal patterns:

Suboptimal Length Checks

Search for length checks that should use hasLength:

  • Regex: expect\([^,]+.length,\s*

Suboptimal Boolean Checks

Search for checks on boolean properties that have specific matchers:

  • Regex: expect\([^,]+.isEmpty,\s*(true|equals\(true\))
  • Regex: expect\([^,]+.isNotEmpty,\s*(true|equals\(true\))
  • Regex: expect\([^,]+.contains\(.*\),\s*(true|equals\(true\))

Suboptimal Map Lookups

Search for manual map lookups instead of containsPair:

  • Regex: expect\([^,]+\[.*\],\s*

Core Matchers

1. Collections (hasLength, contains, isEmpty, unorderedEquals, containsPair)

  • hasLength(n):

    • Prefer expect(list, hasLength(n)) over expect(list.length, n).
    • Gives better error messages on failure (shows actual list content).
  • isEmpty / isNotEmpty:

    • Prefer expect(list, isEmpty) over expect(list.isEmpty, true).
    • Prefer expect(list, isNotEmpty) over expect(list.isNotEmpty, true).
  • contains(item):

    • Verify existence without manual iteration.
    • Prefer over expect(list.contains(item), true).
  • unorderedEquals(items):

    • Verify contents regardless of order.
    • Prefer over expect(list, containsAll(items)).
  • containsPair(key, value):

    • Verify a map contains a specific key-value pair.
    • Prefer over checking expect(map[key], value) or expect(map.containsKey(key), true).

2. Type Checks (isA<T> and TypeMatcher<T>)

  • isA<T>():

    • Prefer for inline assertions: expect(obj, isA<Type>()).
    • More concise and readable than TypeMatcher<Type>().
    • Allows chaining constraints using .having().
  • TypeMatcher<T>:

    • Prefer when defining top-level reusable matchers.
    • Use const: const isMyType = TypeMatcher<MyType>();
    • Chaining .having() works here too, but the resulting matcher is not const.

3. Object Properties (having)

Use .having() on isA<T>() or other TypeMatchers to check properties.

  • Descriptive Names: Use meaningful parameter names in the closure (e.g., (e) => e.message) instead of generic ones like p0 to improve readability.
dart
expect(person, isA<Person>()
    .having((p) => p.name, 'name', 'Alice')
    .having((p) => p.age, 'age', greaterThan(18)));

This provides detailed failure messages indicating exactly which property failed.

4. Async Assertions

  • completion(matcher):

    • Wait for a future to complete and check its value.
    • Prefer await expectLater(...) to ensure the future completes before the test continues.
    • await expectLater(future, completion(equals(42))).
  • throwsA(matcher):

    • Check that a future or function throws an exception.
    • await expectLater(future, throwsA(isA<StateError>())).
    • expect(() => function(), throwsA(isA<ArgumentError>())) (synchronous function throwing is fine with expect).

5. Exception Testing (Avoid try/catch with fail())

  • Prefer throwsA over imperative try/catch:
    • Legacy tests often use try { fn(); fail('should throw'); } catch (e) { expect(e, isA<T>()); }.
    • Replace with declarative matchers:
      dart
      // Synchronous:
      expect(() => parseData('invalid'), throwsA(isA<FormatException>()));
      
      // Asynchronous:
      await expectLater(client.fetch('bad-url'), throwsA(isA<HttpException>()));
    • Common built-in exception matchers include throwsArgumentError, throwsStateError, throwsRangeError, throwsFormatException, throwsNoSuchMethodError, and throwsUnsupportedError.

6. Using expectLater

Use await expectLater(...) when testing async behavior to ensure proper sequencing.

dart
// GOOD: Waits for future to complete before checking side effects
await expectLater(future, completion(equals(42)));
expect(sideEffectState, equals('done'));

// BAD: Side effect check might run before future completes
expect(future, completion(equals(42)));
expect(sideEffectState, equals('done')); // Race condition!

Principles

  1. Readable Failures: Choose matchers that produce clear error messages.
  2. Avoid Manual Logic: Don't use if statements or for loops for assertions; let matchers handle it.
  3. Specific Matchers: Use the most specific matcher available (e.g., containsPair for maps instead of checking keys manually).

Related Skills

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 Dart Matcher Best Practices AI skill do?

Best practices for using `expect` and `package:matcher`. Focuses on readable assertions, proper matcher selection, and avoiding common pitfalls.

Why use Dart Matcher Best Practices on TypingMind?

Because you install it once and use it with any model. Dart Matcher Best Practices 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 Matcher Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevmoo/dash_skills/tree/main/skills/dart-matcher-best-practices. 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 Dart Matcher Best Practices?

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 Matcher Best Practices?

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

Is the Dart Matcher Best Practices AI skill free?

Yes. It is published on GitHub by kevmoo 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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