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) |

Analyze timbre — MFCC, spectral features, loudness, source separation Source: benzema216/dreamina-claude-skills.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/benzema216/dreamina-claude-skills --skill music-timbre Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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