flutter-model-gen

The Skill generates freezed Dart models from JSON samples, contract documentation, or swagger-like inputs. It handles nested entity extraction by automatically splitting them into separate model files with proper imports and enum support.

The Skill processes plain contracts and docs to generate Dart models. It extracts nested entities, splits them into separate files with proper imports, and supports JsonValue-based enums alongside ISO timestamp conversions and snake_case key renaming.

Yes, this approach handles nested objects and enums by extracting nested entities into separate model files with proper imports. It supports JsonValue-based enums, ISO timestamp conversions, and snake_case key renaming for comprehensive data layer mapping.

The best way to automate data layer generation for Flutter is converting JSON samples or interface contracts into freezed and json_serializable models. This accelerates data layer generation and reduces manual coding errors by handling nested entities and enums.

Yes, you can generate separate files for nested Dart models from a single JSON sample. The Skill performs nested entity extraction, splitting nested objects into separate files with proper imports to maintain a clean project structure.