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music-recommender

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AI-driven music playlists personalized by mood.

Software Engineering#recommendation#music#scene#spotify#mood#playlist
Authorpolaris-dxz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AI-driven music recommendations that tailor playlists to mood and scene, reducing manual search time and enhancing focus or leisure.

Core Features & Use Cases

  • Scene-based playlist generation from mood and activity data.
  • Data gathering from streaming APIs (Spotify/Last.fm) and multi-criteria matching (BPM, energy, emotion).
  • Support for work, workout, sleep, and commute scenarios.

Quick Start

Run the music_recommender_tool.py with a mood and scene input to generate a personalized playlist.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: music-recommender
Download link: https://github.com/polaris-dxz/xclaw/archive/main.zip#music-recommender

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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