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minimax-music-playlist

Generate personalized music playlists by analyzing listening history and feedback.

Updated Jun 22, 2026
Search Tags:#playlist generation#music playlist#music taste analysis#personalized music#AI-driven recommendations
One-click install
npx skills add https://github.com/xuyannan0321/math-ai-edu-site --skill minimax-music-playlist
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minimax-music-playlist
Source: https://github.com/xuyannan0321/math-ai-edu-site/tree/main/.agents/skills/minimax-music-playlist
Command: npx skills add https://github.com/xuyannan0321/math-ai-edu-site --skill minimax-music-playlist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mmx-cli, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill generates personalized music playlists by analyzing your music taste and feedback history, providing a tailored listening experience.

Core Features & Use Cases

  • Music Taste Analysis: Scans your music listening data to build a taste profile.
  • Playlist Generation: Creates playlists based on your taste profile and selected themes.
  • Album Cover Creation: Generates album covers for your playlists.
  • Feedback Loop: Allows you to provide feedback on the playlists for continuous improvement.
  • Use Case: If you enjoy listening to late-night chill music, you can use this Skill to generate a personalized playlist with your preferred mood and theme.

Quick Start

Use the minimax-music-playlist skill to generate a personalized playlist for a 'late night chill' theme.

Frequently Asked Questions about minimax-music-playlist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a personalized music playlist based on my listening history?▼

To generate a personalized music playlist, this Skill analyzes your listening history and feedback to build a taste profile, then creates tailored playlists using mmx-cli for audio generation.

What is music taste analysis and how does it work for playlist creation?▼

Music taste analysis scans your music apps to build a detailed taste profile, which then drives the AI-driven recommendations to plan and sequence a playlist matching your specific themes and moods.

Do I need Python and mmx-cli to create AI-driven music recommendations?▼

Yes, you need Python for the scanning scripts that extract listening history, and mmx-cli to handle the actual music and album cover generation required for creating the personalized playlists.

Can I generate album covers for my personalized music playlists?▼

Yes, you can generate album covers for your personalized music playlists because the Skill utilizes mmx-cli for image generation alongside its core audio playback and playlist sequencing capabilities.

How do I improve AI-driven music recommendations if the generated playlist is off?▼

You can improve AI-driven music recommendations by using the built-in feedback loop, which saves your input on generated playlists to continuously refine your taste profile for future sessions.

Does personalized music playlist generation support multi-language triggers?▼

Yes, personalized music playlist generation supports multi-language triggers, allowing you to initiate the scanning, taste profiling, and playback workflow using natural language commands beyond English.

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