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Combine GA music theory tools with ix ML algorithms for music analysis
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
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