Comprehensive interface for analyzing, managing, and acting on skip behavior patterns.
Identifies problematic tracks based on user-configurable thresholds and provides
tools for library optimization.
Key capabilities:
Track skip frequency analysis with sorting and filtering
Automatic library cleanup recommendations based on skip patterns
Manual and automatic track removal with configurable thresholds
Batch operations for efficient library management
Historical skip data visualization with temporal context
Technical implementation:
Dynamic data loading with async/await patterns
Optimistic UI updates for immediate feedback
Configurable timeframe analysis (7/30/90 days)
Cross-component state management
Lazy loading for performance optimization
Confirmation workflows for destructive operations
Data handling:
Skip timestamp tracking for historical analysis
Skip/listen ratio calculation for engagement metrics
Description
Skipped Music Track Analysis & Management System
Comprehensive interface for analyzing, managing, and acting on skip behavior patterns. Identifies problematic tracks based on user-configurable thresholds and provides tools for library optimization.
Key capabilities:
Technical implementation:
Data handling: