music-timbre

SKILL.md

Extract timbral and spectral characteristics: MFCC coefficients, spectral centroid/bandwidth/rolloff, loudness (LUFS), dynamic range, brightness, warmth, and optionally separate audio sources.

| mfcc | MFCC means and stds | | spectral | Centroid, bandwidth, rolloff, ZCR | | loudnesslufs | Integrated loudness in LUFS | | dynamicrangedb | Dynamic range in dB | | brightness | Brightness score 0-1 | | warmth | Warmth score 0-1 | | stems | Separated stem file paths (if available) |

Analizar timbre: MFCC, características espectrales, sonoridad, separación de fuentes Fuente: benzema216/dreamina-claude-skills.

Abre tu terminal o herramienta de línea de comandos (Terminal, iTerm, Windows Terminal, etc.) Copia y ejecuta este comando: npx skills add https://github.com/benzema216/dreamina-claude-skills --skill music-timbre Una vez instalado, el skill se configurará automáticamente en tu entorno de programación con IA y estará listo para usar en Claude Code o Cursor

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