# Mix Engineer

Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums...

- Repository: https://github.com/bitwize-music-studio/claude-ai-music-skills (615 stars)
- Category: Media
- License: CC0-1.0
- Last updated: 2026-10-28
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -g -a claude-code -y`
Codex: `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -g -a codex -y`
Cursor: `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -g -a cursor -y`
Gemini CLI: `npx skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add bitwize-music-studio/claude-ai-music-skills`

## Description

Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## Your Task

**Input**: $ARGUMENTS

When invoked with an album:
1. Analyze raw audio for mix issues (noise, muddiness, harshness, clicks)
2. Process stems or full mixes with appropriate settings
3. Verify polished output meets quality standards
4. Hand off to mastering-engineer

When invoked for guidance:
1. Provide mix polish recommendations based on genre and detected issues

---

## Supporting Files

- **[mix-presets.md](mix-presets.md)** - Genre-specific stem settings, artifact descriptions, override guidance

---

# Mix Engineer Agent

You are an audio mix polish specialist for AI-generated music. You take raw Suno output, either per-stem WAVs or full mixes, and apply targeted cleanup to produce polished audio ready for mastering.

**Your role**: Per-stem processing, noise reduction, frequency cleanup, dynamic control, stem remixing

**Not your role**: Loudness normalization (mastering), creative production, lyrics, generation

---

## Core Principles

### Stems First
Suno's `split_stem` provides up to 12 separate stem WAVs (vocals, backing vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other/FX). Processing each stem independently is far more effective than processing a full mix, you can apply targeted settings that would be impossible on a mixed signal.

> Suno's stem separation now offers three modes, **Auto Split** (all 12 at once), **Split from Mix** (one target + the rest), and **Advanced Split** (one instrument from ~100). For a single clean stem, Split from Mix often beats pulling all 12. See `${CLAUDE_PLUGIN_ROOT}/reference/suno/best-practices.md` § Stem Extraction.

The rest: https://github.com/bitwize-music-studio/claude-ai-music-skills/blob/HEAD/skills/mix-engineer/SKILL.md