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npx skills add dart-lang/skills --skill dart-use-pattern-matching -a claude-code -yApply specific pattern types based on the data structure and desired outcome. Follow these conditional guidelines:
uri.pathSegments, p.split(path)) or String.split() tokens: Use List patterns with rest elements (['api', 'comments', ...], ['assets', ...final rest], [..., final parent, _]) instead of manual .length checks, .first, .skip(1), or length - N index arithmetic.switch expressions over map discriminant keys to deserialize into sealed class hierarchies.MapEntry: Use Object patterns (final Spec(:field1, :field2!) = spec;, for (final MapEntry(:key, :value) in map.entries)) when promoting nullable properties or unpacking 3+ fields used across multiple statements, rather than for single-call passthroughs.sealed classes to ensure exhaustiveness.>=, <=) and Logical-and (&&) patterns within switch arms.||) patterns to share a single case body or guard clause._) or a non-matching Rest element (...) in collections.Select the appropriate switch construct based on the execution context:
switch (value) { pattern => expression, }switch (value) { case pattern: statements; }break keyword required).Implement patterns using the following syntax and rules:
||): pattern1 || pattern2. Both branches must define the exact same set of variables.&&): pattern1 && pattern2. Branches must not define overlapping variables.==, !=, <, >, <=, >= followed by a constant expression.as): pattern as Type. Throws if the value does not match the type. Use to forcibly assert types during destructuring.?): pattern?. Fails the match if the value is null. Binds the variable to the non-nullable base type.!): pattern!. Throws if the value is null.var name or Type name. Binds the matched value to a new local variable._): Matches any value and discards it.[pattern1, pattern2]. Matches lists of exact length unless a Rest element (... or ...var rest) is used.{"key": pattern}. Matches maps containing the specified keys. Ignores unmatched keys.(pattern1, named: pattern2). Matches records of the exact shape. Use :var name to infer the getter name.ClassName(field: pattern). Matches instances of ClassName. Use :var field to infer the getter name.Pattern matching and switch expressions should simplify code, not add syntactic overhead. Observe the following boundaries:
is Type Promotion over if-case for Single Promotable VariablesWhen checking or promoting a single variable, use standard is checks instead of if-case patterns that introduce shadow aliases.
// ✅ Promotes `key` directly in-place without extra variables
for (final MapEntry(:key, :value) in map.entries) {
if (key is String && value != null) {
process(key, value);
}
}
// ❌ Anti-pattern: Introduces unnecessary alias variable `k`
for (final MapEntry(:key, :value) in map.entries) {
if (key case final String k when value != null) {
process(k, value);
}
}
When mapping or returning values where both null and a type T are valid and handled identically, match the nullable type T? directly rather than creating redundant null arms.
// ✅ Clean nullable pattern match
switch (value) {
final String? s => s,
_ => throw FormatException('Invalid value: $value'),
}
// ❌ Redundant separate null arm
switch (value) {
final String s => s,
null => null,
_ => throw FormatException('Invalid value: $value'),
}
Do not use if-case in loops or deserialization to filter elements if malformed data should trigger an error or diagnostic warning.
// ✅ Fast-fail with explicit diagnostic error
for (final raw in rawTasks) {
if (raw is! Map<String, dynamic>) {
throw FormatException('Expected Map item, got ${raw.runtimeType}: $raw');
}
_applyTask(raw);
}
// ❌ Silently ignores malformed items
for (final raw in rawTasks) {
if (raw case final Map<String, dynamic> taskMap) {
_applyTask(taskMap);
}
}
if (x is T) instead of a switch statement with only 1 case and default: break;.condition ? a : b) instead of switch (condition) { true => a, false => b }.Use object or record destructuring when extracting 3+ fields used across multiple statements, iterating MapEntry(:key, :value) in map.entries loops, eliminating a single-use intermediate variable, or promoting nullable fields to local variables (:field! or :field with != null). Keep standard property/element access (config.field) when:
Reading a single property (user.name, or final CpuCallFrame(:url, :line) = node.callFrame; rather than nesting ProfileNode(callFrame: ...)).
Unpacking only 1–2 fields in a short getter/method, or unpacking fields only to pass them straight into a single constructor or function call.
Explicit local type annotations (specify_nonobvious_local_variable_types) require adding new library imports for marginal (1–2x) field reuse.
A long class name with renamed getters wraps a 2-field unpack across 3+ lines.
Any target variable is assigned to an outer-scoped variable (e.g., db = res.$1; before finally — final (db, ...) shadows outer db) or mixes final and mutable var locals.
Reading .first and .last on a list that may have length 1 ([first, ..., last] requires length >= 2; do not replace with multi-branch if-case).
Prefer:
// ✅ Unpacks multiple fields and asserts non-nullability in one declaration
final RunSpec(:target, :device!, :verbose) = spec;
Avoid:
// ❌ Repetitive multi-line property extraction
final target = spec.target;
final device = spec.device!;
final verbose = spec.verbose;
if-case for Standalone Scalar ComparisonsUse standard boolean operators (if (code >= 200 && code < 300)) instead of if (code case >= 200 && < 300) for standalone conditions. Reserve relational patterns for multi-arm switch tables.
Copy this checklist to track progress when implementing complex pattern matching logic:
var x, :var y, ...final rest).when condition) for logic that cannot be expressed via patterns._) or default clause (if not using a sealed class).dart analyze).containsKey semantics) vs explicit null values.When switching over sealed classes or enums, ensure all subtypes are handled at compile time:
dart analyze._) arm if a default fallback or error is acceptable.Because dart analyze cannot statically verify dynamic Map<String, dynamic> keys, validate runtime pattern semantics explicitly:
null: A map pattern {'key': String? val} checks map.containsKey('key'). If 'key' is omitted from the JSON payload, the pattern fails to match at runtime even though String? is nullable. Extract optional keys from the validated map directly (map['key'] as String?)._ => throw FormatException(...) arm rather than silently failing an if-case check.Use Map patterns with switch expressions to validate tagged JSON payloads and
construct sealed class hierarchies. See
examples/json_patterns.dart for an executable
implementation demonstrating tagged ApiResponse parsing into SuccessResponse
and ErrorResponse.
Use nested Map and List patterns to validate required schema structure and
extract collections in a single step. See
examples/json_patterns.dart for an executable
implementation of processUserPayload.
Map patterns check for key existence (containsKey). If an optional JSON key
might be omitted entirely from the payload (rather than explicitly passed as
'key': null), destructure required keys via the pattern and extract optional
fields directly from the matched submap.
Use if-case with list rest elements (...final rest) to validate prefixes and
extract remaining elements without a 2-arm _ => null switch or manual .first
and .skip(1) indexing.
String? resolveAllowedAssetSubpath(List<String> segments) {
if (segments case ['assets', ...final rest]
when rest.isNotEmpty && !rest.contains('..')) {
return rest.join('/');
}
return null;
}
Use Object patterns with switch expressions to handle family types exhaustively.
sealed class Shape {}
class Square implements Shape {
final double length;
Square(this.length);
}
class Circle implements Shape {
final double radius;
Circle(this.radius);
}
// Switch expression guarantees exhaustiveness due to `sealed` modifier.
double calculateArea(Shape shape) => switch (shape) {
Square(length: var l) => l * l,
Circle(:var radius) => math.pi * radius * radius,
};
Use variable assignment patterns to swap values or extract record fields without temporary variables.
var (a, b) = ('left', 'right');
(b, a) = (a, b); // Swap values
// Destructuring a function return
var (name, age) = getUserInfo();
Use when to evaluate arbitrary conditions after a pattern matches.
switch (shape) {
case Square(length: var s) || Circle(radius: var s) when s > 0:
print('Valid positive shape with dimension $s');
case Square() || Circle():
print('Zero or negative dimension shape');
}
---
name: dart-use-pattern-matching
description: >-
Applies Dart 3 pattern matching, switch expressions, and destructuring
idiomatically to validate data schemas, handle algebraic data types, and
decompose control flow. Use when refactoring complex if-else chains,
parsing polymorphic JSON or API responses, destructuring Lists, URI/path
segments, String.split() tokens, Records, or Maps, or enforcing exhaustiveness
on sealed classes. Don't use for simple boolean conditions, single-variable
type promotion (use `is`), or basic collection filtering.
metadata:
model: models/gemini-3.1-pro-preview
last_modified: Tue, 13 Oct 2026 19:45:00 GMT
---
# Implementing Dart Patterns
## Contents
- [Pattern Selection Strategy](#pattern-selection-strategy)
- [Switch Statements vs. Expressions](#switch-statements-vs-expressions)
- [Core Pattern Implementations](#core-pattern-implementations)
- [Pragmatic Balance & Anti-Patterns](#pragmatic-balance--anti-patterns)
- [Workflows](#workflows)
- [Examples](#examples)
## Pattern Selection Strategy
Apply specific pattern types based on the data structure and desired outcome. Follow these conditional guidelines:
* **If validating and extracting from deserialized data (e.g., JSON):** Use Map, List, and Object patterns to validate schema structure and destructure properties in a single step.
* **If inspecting URL/path segments (`uri.pathSegments`, `p.split(path)`) or `String.split()` tokens:** Use List patterns with rest elements (`['api', 'comments', ...]`, `['assets', ...final rest]`, `[..., final parent, _]`) instead of manual `.length` checks, `.first`, `.skip(1)`, or `length - N` index arithmetic.
* **If handling polymorphic payloads or responses:** Use `switch` expressions over map discriminant keys to deserialize into `sealed` class hierarchies.
* **If handling multiple return values:** Use Record patterns to destructure fields directly into local variables.
* **If unpacking multiple fields from an object or `MapEntry`:** Use Object patterns (`final Spec(:field1, :field2!) = spec;`, `for (final MapEntry(:key, :value) in map.entries)`) when promoting nullable properties or unpacking 3+ fields used across multiple statements, rather than for single-call passthroughs.
* **If executing type-specific behavior (Algebraic Data Types):** Use Object patterns combined with `sealed` classes to ensure exhaustiveness.
* **If matching numeric ranges or conditions:** Use Relational (`>=`, `<=`) and Logical-and (`&&`) patterns within switch arms.
* **If multiple cases share logic:** Use Logical-or (`||`) patterns to share a single case body or guard clause.
* **If ignoring specific values:** Use the Wildcard pattern (`_`) or a non-matching Rest element (`...`) in collections.
## Switch Statements vs. Expressions
Select the appropriate switch construct based on the execution context:
* **If producing a value:** Use a **switch expression**.
* Syntax: `switch (value) { pattern => expression, }`
* Rule: Each case must be a single expression. No implicit fallthrough. Must be exhaustive.
* **If executing statements or side effects:** Use a **switch statement**.
* Syntax: `switch (value) { case pattern: statements; }`
* Rule: Empty cases fall through to the next case. Non-empty cases implicitly break (no `break` keyword required).
## Core Pattern Implementations
Implement patterns using the following syntax and rules:
* **Logical-or (`||`):** `pattern1 || pattern2`. Both branches must define the exact same set of variables.
* **Logical-and (`&&`):** `pattern1 && pattern2`. Branches must *not* define overlapping variables.
* **Relational:** `==`, `!=`, `<`, `>`, `<=`, `>=` followed by a constant expression.
* **Cast (`as`):** `pattern as Type`. Throws if the value does not match the type. Use to forcibly assert types during destructuring.
* **Null-check (`?`):** `pattern?`. Fails the match if the value is null. Binds the variable to the non-nullable base type.
* **Null-assert (`!`):** `pattern!`. Throws if the value is null.
* **Variable:** `var name` or `Type name`. Binds the matched value to a new local variable.
* **Wildcard (`_`):** Matches any value and discards it.
* **List:** `[pattern1, pattern2]`. Matches lists of exact length unless a Rest element (`...` or `...var rest`) is used.
* **Map:** `{"key": pattern}`. Matches maps containing the specified keys. Ignores unmatched keys.
* **Record:** `(pattern1, named: pattern2)`. Matches records of the exact shape. Use `:var name` to infer the getter name.
* **Object:** `ClassName(field: pattern)`. Matches instances of `ClassName`. Use `:var field` to infer the getter name.
## Pragmatic Balance & Anti-Patterns
Pattern matching and switch expressions should simplify code, not add syntactic overhead. Observe the following boundaries:
### 1. Prefer `is` Type Promotion over `if-case` for Single Promotable Variables
When checking or promoting a single variable, use standard `is` checks instead of `if-case` patterns that introduce shadow aliases.
* **Prefer:**
```dart
// ✅ Promotes `key` directly in-place without extra variables
for (final MapEntry(:key, :value) in map.entries) {
if (key is String && value != null) {
process(key, value);
}
}
```
* **Avoid:**
```dart
// ❌ Anti-pattern: Introduces unnecessary alias variable `k`
for (final MapEntry(:key, :value) in map.entries) {
if (key case final String k when value != null) {
process(k, value);
}
}
```
### 2. Consolidate Nullable Types in Switch Arms
When mapping or returning values where both `null` and a type `T` are valid and handled identically, match the nullable type `T?` directly rather than creating redundant `null` arms.
* **Prefer:**
```dart
// ✅ Clean nullable pattern match
switch (value) {
final String? s => s,
_ => throw FormatException('Invalid value: $value'),
}
```
* **Avoid:**
```dart
// ❌ Redundant separate null arm
switch (value) {
final String s => s,
null => null,
_ => throw FormatException('Invalid value: $value'),
}
```
### 3. Preserve Fast-Fail Validation (Do Not Silently Drop Data)
Do not use `if-case` in loops or deserialization to filter elements if malformed data should trigger an error or diagnostic warning.
* **Prefer:**
```dart
// ✅ Fast-fail with explicit diagnostic error
for (final raw in rawTasks) {
if (raw is! Map<String, dynamic>) {
throw FormatException('Expected Map item, got ${raw.runtimeType}: $raw');
}
_applyTask(raw);
}
```
* **Avoid:**
```dart
// ❌ Silently ignores malformed items
for (final raw in rawTasks) {
if (raw case final Map<String, dynamic> taskMap) {
_applyTask(taskMap);
}
}
```
### 4. Avoid Single-Case or Boolean Switches
* Use `if (x is T)` instead of a `switch` statement with only 1 case and `default: break;`.
* Use standard conditional ternary operators (`condition ? a : b`) instead of `switch (condition) { true => a, false => b }`.
### 5. Use Object Destructuring for Multi-Field Unpacking, Not Single Properties or Passthroughs
Use object or record destructuring when extracting 3+ fields used across multiple statements, iterating `MapEntry(:key, :value)` in `map.entries` loops, eliminating a single-use intermediate variable, or promoting nullable fields to local variables (`:field!` or `:field` with `!= null`). Keep standard property/element access (`config.field`) when:
* Reading a single property (`user.name`, or `final CpuCallFrame(:url, :line) = node.callFrame;` rather than nesting `ProfileNode(callFrame: ...)`).
* Unpacking only 1–2 fields in a short getter/method, or unpacking fields only to pass them straight into a single constructor or function call.
* Explicit local type annotations (`specify_nonobvious_local_variable_types`) require adding new library imports for marginal (1–2x) field reuse.
* A long class name with renamed getters wraps a 2-field unpack across 3+ lines.
* Any target variable is assigned to an outer-scoped variable (e.g., `db = res.$1;` before `finally` — `final (db, ...)` shadows outer `db`) or mixes `final` and mutable `var` locals.
* Reading `.first` and `.last` on a list that may have length 1 (`[first, ..., last]` requires `length >= 2`; do not replace with multi-branch `if-case`).
* **Prefer:**
```dart
// ✅ Unpacks multiple fields and asserts non-nullability in one declaration
final RunSpec(:target, :device!, :verbose) = spec;
```
* **Avoid:**
```dart
// ❌ Repetitive multi-line property extraction
final target = spec.target;
final device = spec.device!;
final verbose = spec.verbose;
```
### 6. Avoid `if-case` for Standalone Scalar Comparisons
Use standard boolean operators (`if (code >= 200 && code < 300)`) instead of `if (code case >= 200 && < 300)` for standalone conditions. Reserve relational patterns for multi-arm `switch` tables.
## Workflows
### Task Progress: Implementing Pattern Matching
Copy this checklist to track progress when implementing complex pattern matching logic:
- [ ] Identify the data structure being evaluated (JSON, List/Segments, Record, Class, Enum).
- [ ] Select the appropriate switch construct (Expression for values, Statement for side-effects).
- [ ] Define the required patterns (Object, Map, List, Record).
- [ ] Extract required data using Variable patterns (`var x`, `:var y`, `...final rest`).
- [ ] Apply Guard clauses (`when condition`) for logic that cannot be expressed via patterns.
- [ ] Handle unmatched cases using a Wildcard (`_`) or `default` clause (if not using a sealed class).
- [ ] Run static analyzer for exhaustiveness and dead code (`dart analyze`).
- [ ] Verify runtime Map/JSON pattern behavior on omitted keys (`containsKey` semantics) vs explicit `null` values.
### Feedback Loop 1: Exhaustiveness Checking (Static Verification)
When switching over `sealed` classes or enums, ensure all subtypes are handled at compile time:
1. **Run analyzer:** Execute `dart analyze`.
2. **Review errors:** Look for "The type 'X' is not exhaustively matched by the switch cases" or unreachable pattern arm warnings.
3. **Fix:** Add the missing Object patterns for unhandled subtypes, or add an explicit wildcard (`_`) arm if a default fallback or error is acceptable.
### Feedback Loop 2: Runtime Map & JSON Pattern Verification
Because `dart analyze` cannot statically verify dynamic `Map<String, dynamic>` keys, validate runtime pattern semantics explicitly:
1. **Omitted Keys vs. Explicit `null`**: A map pattern `{'key': String? val}` checks `map.containsKey('key')`. If `'key'` is omitted from the JSON payload, the pattern fails to match at runtime even though `String?` is nullable. Extract optional keys from the validated map directly (`map['key'] as String?`).
2. **Fast-Fail Fallback**: Ensure unmatched or malformed map structures hit an explicit `_ => throw FormatException(...)` arm rather than silently failing an `if-case` check.
## Examples
### Polymorphic JSON Deserialization (Discriminated Unions)
Use Map patterns with switch expressions to validate tagged JSON payloads and
construct `sealed` class hierarchies. See
[examples/json_patterns.dart](examples/json_patterns.dart) for an executable
implementation demonstrating tagged `ApiResponse` parsing into `SuccessResponse`
and `ErrorResponse`.
### Nested JSON Validation and Optional Fields
Use nested Map and List patterns to validate required schema structure and
extract collections in a single step. See
[examples/json_patterns.dart](examples/json_patterns.dart) for an executable
implementation of `processUserPayload`.
Map patterns check for key existence (`containsKey`). If an optional JSON key
might be omitted entirely from the payload (rather than explicitly passed as
`'key': null`), destructure required keys via the pattern and extract optional
fields directly from the matched submap.
### List and Path Segment Destructuring
Use `if-case` with list rest elements (`...final rest`) to validate prefixes and
extract remaining elements without a 2-arm `_ => null` switch or manual `.first`
and `.skip(1)` indexing.
```dart
String? resolveAllowedAssetSubpath(List<String> segments) {
if (segments case ['assets', ...final rest]
when rest.isNotEmpty && !rest.contains('..')) {
return rest.join('/');
}
return null;
}
```
### Algebraic Data Types (Sealed Classes)
Use Object patterns with switch expressions to handle family types exhaustively.
```dart
sealed class Shape {}
class Square implements Shape {
final double length;
Square(this.length);
}
class Circle implements Shape {
final double radius;
Circle(this.radius);
}
// Switch expression guarantees exhaustiveness due to `sealed` modifier.
double calculateArea(Shape shape) => switch (shape) {
Square(length: var l) => l * l,
Circle(:var radius) => math.pi * radius * radius,
};
```
### Variable Swapping and Destructuring
Use variable assignment patterns to swap values or extract record fields without temporary variables.
```dart
var (a, b) = ('left', 'right');
(b, a) = (a, b); // Swap values
// Destructuring a function return
var (name, age) = getUserInfo();
```
### Guard Clauses and Logical-or
Use `when` to evaluate arbitrary conditions after a pattern matches.
```dart
switch (shape) {
case Square(length: var s) || Circle(radius: var s) when s > 0:
print('Valid positive shape with dimension $s');
case Square() || Circle():
print('Zero or negative dimension shape');
}
```