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Combine GA music theory tools with ix ML algorithms for music analysis
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Test model robustness with adversarial attacks and defenses
Multi-armed bandit simulation — epsilon-greedy, UCB1, Thompson sampling
Benchmark and compare ix algorithm performance
Embedded Redis-like cache with TTL, LRU, pub/sub, and RESP protocol
Category theory primitives — monad laws verification, free-forgetful adjunction
Chaos theory analysis — Lyapunov exponents, bifurcation, attractors, fractals
| name | federation-music |
| description | Combine GA music theory tools with ix ML algorithms for music analysis |
Cross-repo music analysis combining GA's 50+ music theory tools with ix's ML capabilities.
When the user needs ML-powered music analysis — clustering chord progressions, spectral analysis, pattern detection in music data.
Call ix_ga_bridge with action=workflow_guide for a complete list of GA-to-ix workflows.
GaParseChord), progression analysis (GaAnalyzeProgression), atonal set theory (GaChordToSet), scale data (GetAvailableScales), voice leading (GaCommonTones), arpeggio suggestions (GaArpeggioSuggestions)ix_fft), K-Means (ix_kmeans), PCA, supervised classification (ix_supervised), ML pipeline (ix_ml_pipeline), code analysis (ix_code_analyze)ix_ga_bridge converts GA data to ML-ready features:
chord_features — Chord symbols to interval/pitch-class vectorsprogression_features — Progression to feature matrixscale_features — Scale data to binary pitch-class setsworkflow_guide — Show all available GA-to-ix workflowsGaParseChord — parse chord symbolsGaChordToSet — get pitch-class set + ICVix_kmeans — cluster by ICV vectorsGaAnalyzeProgression — detect key, get Roman numeralsGaCommonTones — compute voice-leading distancesix_ml_pipeline — train style classifierGaChordToSet — get pitch-class analysisix_stats — statistical summaryix_chaos_lyapunov — measure harmonic unpredictabilityGaCommonTones — common tones between chordsix_search — A* shortest path in voice-leading spaceix_optimize — minimize total voice-leading distanceGaAnalyzeProgression — detect keyGaArpeggioSuggestions — per-chord arpeggios and modesix_supervised — train scale recommender