mix-engineer

Solid

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.

AI & Automation 251 stars 47 forks Updated yesterday CC0-1.0

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Quality Score: 88/100

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Skill Content

## 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. ### Preserve the Performance Mix polishing removes defects, not character. Be conservative with processing. Over-processing sounds worse than under-processing. ### Non-Destruc...

Details

Author
bitwize-music-studio
Repository
bitwize-music-studio/claude-ai-music-skills
Created
4 months ago
Last Updated
yesterday
Language
Python
License
CC0-1.0

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