AI Agent Skills

Use when building AI workflows, tool calling agents, structured outputs, or LLM pipelines using the Genkit Dart SDK.

Use when organizing business logic, implementing algorithmic workflows, or applying Dart data structures and pattern matching.

Use when troubleshooting memory leaks, optimizing garbage collection overhead, or disposing streams and listeners in Dart.

Use when applying Dart 3.0 to 3.12+ syntax features including private named parameters, extension types, records, and wildcards.

Use when profiling CPU hot paths, optimizing memory allocations, or enforcing static typing performance in Dart.

Use when diagnosing package dependency conflicts, running build_runner, or managing Dart SDK tooling commands.

Authoritative guide for Dart SDK language specifications, syntax availability, minimum SDK constraints (minSdk), and version changelogs from Dart 1.x through Da

Enforces Effective-Dart documentation on the public surface — a `///` doc on every public class/method/getter/field/typedef, a one-sentence standalone summary that says…

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

Use when measuring test coverage, generating LCOV or HTML reports, or filtering coverage files.

Use when generating mock objects with package:mockito and build_runner, or choosing between mocktail and mockito.

Use when migrating test assertions from legacy package:matcher expect() syntax to package:checks fluent assertions.

Use when configuring analysis_options.yaml, enabling strict type checks, or managing linter rules and diagnostics.

Use when implementing switch expressions, relational patterns, object destructuring, or exhaustive sealed class handling.

Agent Skills for Dart and Flutter ecosytem

Authoritative guide for Flutter framework APIs, widget lifecycle deprecations, design package unbundling, and version changelogs from Flutter 1.0 through Flutte