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ai-mastering

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AI-powered automated mastering chain

Design & Creative#ai#audio#signal-processing#mastering#reference-analysis#lufs#eq-matching
AuthorSpiralCloudOmega
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AI-powered mastering chain automates spectral-based processing to deliver competitive loudness and tonal balance using a reference-driven workflow.

Core Features & Use Cases

  • Reference analysis and spectral envelope matching to guide EQ and dynamics decisions.
  • Multiband processing, stereo imaging guidance, and LUFS-based loudness normalization for streaming platforms.
  • Use Case: Produce consistent masters across albums or tracks with minimal manual adjustments by engineers.

Quick Start

Provide your mix and a reference track to the AI mastering chain to generate a mastered stereo output.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-mastering
Download link: https://github.com/SpiralCloudOmega/DevTeam6/archive/main.zip#ai-mastering

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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