Skiley

Skiley is a web-based toolkit designed for Spotify users who want to take control of their music library. It focuses on three main areas: playlist organization, listening statistics, and music discovery. The platform allows users to sort their Spotify playlists by a wide range of properties, including song name, artist, BPM (beats per minute), key, popularity, genre, and more. This sorting capability helps users find songs that match a specific mood, tempo, or style without manually scanning through hundreds of tracks. Beyond sorting, Skiley offers a true shuffle function that reorders playlists randomly, avoiding the algorithm-driven patterns that many Spotify users find repetitive. The tool also includes a deduplication feature that scans playlists for duplicate songs and removes them, keeping libraries clean and clutter-free. Users can filter playlists by genre, combine multiple playlists into one, and apply bulk actions such as adding or removing tracks. For those interested in exploring music deeper, Skiley provides a comments and trivia section where users can read and leave remarks about individual songs, as well as view interesting facts or hidden details about tracks. This social layer turns music listening into a more interactive experience. Another core function is the listening statistics module. It tracks users’ listening habits over time, showing detailed metrics such as top artists, top genres, total listening time, number of songs played, and changes in taste. These stats update automatically as users continue to stream music on Spotify. Skiley also helps users discover new music by suggesting tracks based on their existing playlists and listening patterns, but without the promotional tone of typical recommendation engines. According to the data displaye