music-ml-demo
OfficialPerform in-depth music analysis using AI, for chord clustering, harmonic analysis, and scale recommendation.
AuthorGuitarAlchemist
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complex needs of music theory analysis and algorithmic music processing, providing tools for chord clustering, harmonic complexity analysis, and scale recommendation based on mood classification.
Core Features & Use Cases
- Chord Voicing Clustering: Discover how voicings with similar harmonic structures cluster regardless of pitch.
- Harmonic Complexity Analysis: Use spectral and chaos analysis to measure predictability and complexity in chord progressions.
- Scale Recommendation: Classify scales by mood and recommend appropriate scales for a target mood.
- Use Case: Imagine you need to analyze a music piece and find the most appropriate scale to solo over, taking into account harmonic structure and mood.
Quick Start
Use the music-ml-demo skill to analyze the harmonic structure of a given chord progression and recommend a scale for soloing over it, given the target mood as "mysterious".
Dependency Matrix
Required Modules
gaix
Components
scriptsreferencesassets
💻 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-ml-demo Download link: https://github.com/GuitarAlchemist/ix/archive/main.zip#music-ml-demo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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