ai-mastering

Automate spectral-based mastering by analyzing a reference track and adjusting EQ, dynamics, and loudness.

1|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill ai-mastering
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-mastering
Source: https://github.com/SpiralCloudOmega/DevTeam6/tree/main/.github/skills/neural-audio/ai-mastering
Command: npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill ai-mastering

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about ai-mastering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use reference track analysis to automate audio mastering?

Reference track analysis automates audio mastering by analyzing a spectral envelope and adjusting EQ, dynamics, and loudness to match. You provide your mix and a reference track to generate a mastered stereo output with consistent tonal balance.

What is LUFS-based loudness normalization for streaming platforms?

LUFS-based loudness normalization adjusts the integrated loudness of a track to meet streaming platform standards. It applies targeted loudness corrections alongside multiband dynamics and EQ matching to ensure competitive playback levels.

How do I achieve consistent tonal balance across an album's tracks?

Achieve consistent tonal balance across album tracks by applying reference-driven spectral envelope matching. This matches EQ curves and multiband dynamics across multiple files, ensuring uniform spectral characteristics with minimal manual adjustment.

Can I apply stereo imaging guidance and multiband dynamics in a single mastering pass?

Yes, you can apply stereo imaging guidance and multiband dynamics in a single mastering pass. The self-contained pipeline processes spectral matching, dynamics control, and stereo width adjustments simultaneously to generate the final master.

Does automated EQ matching work without manual adjustments from mixing engineers?

Automated EQ matching works without manual adjustments by using spectral analysis to match your mix to a reference track. The pipeline calculates and applies the required EQ curve automatically, reducing the need for manual engineer intervention.