music-discoveryRecommend music tracks and playlists tailored to mood, activity, BPM, energy, or genre using Spotify and Last.fm data.
Install via ClawdBot CLI:
clawdbot install codenova58/music-discoveryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://developer.spotify.com/documentation/web-apiAudited Apr 17, 2026 · audit v1.0
Generated May 9, 2026
Generate mood-appropriate playlists for studying, working, or reading. The agent recommends tracks with low BPM, calm energy, and minimal lyrics to enhance concentration.
Create high-energy workout playlists tailored to specific BPM and genres like EDM or hip-hop. The agent matches tempo to exercise intensity for running, weightlifting, or cycling sessions.
Help users find music that matches their current mood, such as happy, relaxed, or nostalgic. The agent suggests tracks based on valence and energy tags from audio features.
Curate background music for corporate events, lounges, or waiting areas with appropriate vibe and volume. The agent selects instrumental or low-key tracks to maintain a professional atmosphere.
Offer personalized, mood-based playlists as a premium subscription. Users pay a monthly fee for unlimited curated playlists and exclusive recommendations.
License the music discovery API to other applications such as fitness apps, study platforms, or retail stores for integrating intelligent playlist generation.
Drive user engagement to streaming services like Spotify or Apple Music through affiliate links. Earn commission on new sign-ups or premium subscriptions generated via recommendations.
💬 Integration Tip
First set up Spotify API credentials and install spotipy; then use the provided CLI commands to test recommendations before integrating into your app.
Scored May 9, 2026
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