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:

  • 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
  • Persistence with error handling and recovery

Functions

skippedTracksPage