federation-music

Integrate GA music theory tools with ix ML algorithms for music analysis.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/GuitarAlchemist/ix --skill federation-music
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: federation-music
Source: https://github.com/GuitarAlchemist/ix/tree/main/.claude/skills/federation-music
Command: npx skills add https://github.com/GuitarAlchemist/ix --skill federation-music

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ga, ix, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for advanced music analysis by combining GA's music theory tools with ix's ML algorithms, enabling users to perform complex music analysis tasks.

Core Features & Use Cases

  • Music Theory Integration: Leverages GA's extensive music theory tools for chord parsing, progression analysis, and scale data.
  • Machine Learning Analysis: Utilizes ix's ML capabilities for FFT, K-Means clustering, PCA, and supervised classification.
  • Use Case: For example, users can cluster chord voicings by harmonic similarity or classify progressions by style using this Skill.

Quick Start

Use the ix_ga_bridge with action=workflow_guide to explore all available GA-to-ix workflows.

Frequently Asked Questions about federation-music

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

FAQPage Schema
How do I use machine learning for chord progression analysis?

Chord progression analysis uses ML algorithms to classify musical styles and group voicings by harmonic similarity. This Skill applies supervised classification and K-Means clustering to parse chords and detect progression patterns in music data.

What is spectral analysis in music data processing?

Spectral analysis in music data processing uses Fast Fourier Transform (FFT) algorithms to decompose audio signals into frequency components. This Skill applies ix ML algorithms to extract spectral features for comprehensive pattern detection.

Do I need GA and ix libraries to perform music analysis?

Yes, you need both GA and ix libraries to perform this advanced music analysis. GA provides the music theory tools for chord parsing, while ix supplies the ML algorithms required for clustering, PCA, and spectral processing.

Can I cluster chord voicings by harmonic similarity?

Yes, you can cluster chord voicings by harmonic similarity using K-Means clustering. This Skill integrates GA music theory data with ix ML algorithms to group chords and classify progressions based on their harmonic features.

How do I start a workflow for music theory and ML integration?

To start a music theory and ML integration workflow, use the bridge function with the workflow guide action. This explores all available GA-to-ix workflows, enabling you to parse chords and apply machine learning analysis.

What is the best way to classify music progressions by style?

The best way to classify music progressions by style is through supervised classification algorithms. This Skill uses ix ML capabilities alongside GA music theory tools to analyze progression data and categorize it stylistically.