skills/flutter/flutter-layer-based-clean-architecture/SKILL.md
Enforce inward dependency flow, pure domain layers, and DTO-to-entity mapping in Flutter DDD architecture. Use when structuring domain, infrastructure, application, or presentation layers.
npx skillsauth add hoangnguyen0403/agent-skills-standard flutter-layer-based-clean-architectureInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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@freezed in lib/domain/entities/lib/domain/repositories/lib/infrastructure/dtos/ with fromJson/toEntity mapperlib/infrastructure/repositories/lib/application/ consuming repository interfaceget_it injection containerlib/presentation/ using BlocBuilderlib/
├── domain/ # Pure Dart: entities (@freezed), failures, repository interfaces
├── infrastructure/ # Implementation: DTOs, data sources, mappers, repo impls
├── application/ # Orchestration: BLoCs / Cubits
└── presentation/ # UI: Screens, reusable components
Presentation -> Application -> Domain <- Infrastructure. Dependencies point inward.Domain.Either<Failure, Success>.See DTO-to-Entity mapping example.
@freezed for all entities and failures.get_it to inject repository implementations into BLoCs..g.dart or Data class directly in Widget.package:flutter/material.dart in domain layer.shared_preferences directly in Repository; use Data Source.For full implementation templates and DTO-to-Domain mapping examples: See references/REFERENCE.md.
testing
Infer the requesting operator's technical fluency from message content (never ask directly) and adapt register — business, hybrid, or technical — across SDLC workflow output. Use when starting sdlc, brainstorm-feature, plan-feature, verify-work, publish-notes, or session-report, or whenever a request's phrasing signals a non-technical or cross-stack operator.
documentation
Define transaction boundaries, locking, and consistency guarantees for multi-step writes. Use when designing atomic operations, retries, idempotency, or concurrent write behavior.
development
Design relational or document schemas from access patterns, cardinality, and lifecycle. Use when modeling entities, choosing embed vs normalize, or shaping schema boundaries before implementation.
data-ai
Diagnose database latency with explain plans, index ownership, and query-shape review. Use when a query is slow, an index is missing, or scans and N+1 patterns appear.