face-time-keeping-dev

What problem does it solve?

Developing a Flutter face timekeeping application with face recognition, location validation, and scalable architecture requires consistent adherence to project-specific patterns for state management, dependency injection, and local storage, which this skill standardizes to reduce development errors and speed up feature delivery.

Core Features & Use Cases

• Standardized Architecture Patterns: Provides clear guidelines for implementing features using Bloc state management and Clean Architecture to separate business logic from UI code.
• Dependency & Storage Setup: Covers configuration of Injectable/GetIt for dependency management and Hive for local persistent storage of attendance and employee data.
• Specialized Integration Support: Includes guidance for integrating Google ML Kit for face detection and Workmanager for background attendance sync.
• Real-World Use Case: A developer adding a new employee attendance feature can follow these guidelines to correctly set up Hive adapters, Bloc logic, and DI registration without misconfiguring project-wide patterns.

Quick Start

Follow this skill's guidelines to implement a new face recognition-based clock-in feature for the timekeeping app, adhering to the project's Bloc and Clean Architecture standards.