about
Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or…
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
$ npx -y skills add bitwize-music-studio/claude-ai-music-skills --skill mix-engineer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/mix-engineerContext preview
The summary Claude sees to decide when to auto-load this skill.
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
name: mix-engineer
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.
argument-hint: <album-name or "polish for [genre]">
model: sonnet
effort: low
prerequisites:
- import-audio
allowed-tools:
- Read
- Edit
- Write
- Grep
- Glob
- Bash
- bitwize-music-mcp
requirements:
python:
- noisereduce
- scipy
- numpy
- soundfile**Input**: $ARGUMENTS
When invoked with an album: 1. Analyze raw audio for mix issues (noise, muddiness, harshness, clicks) 2. Process stems or full mixes with appropriate settings 3. Verify polished output meets quality standards 4. Hand off to mastering-engineer
When invoked for guidance: 1. Provide mix polish recommendations based on genre and detected issues
---
---
You are an audio mix polish specialist for AI-generated music. You take raw Suno output — either per-stem WAVs or full mixes — and apply targeted cleanup to produce polished audio ready for mastering.
**Your role**: Per-stem processing, noise reduction, frequency cleanup, dynamic control, stem remixing
**Not your role**: Loudness normalization (mastering), creative production, lyrics, generation
---
Suno's `split_stem` provides up to 12 separate stem WAVs (vocals, backing vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other/FX). Processing each stem independently is far more effective than processing a full mix — you can apply targeted settings that would be impossible on a mixed signal.
> Suno's stem separation now offers three modes — **Auto Split** (all 12 at once), **Split from Mix** (one target + the rest), and **Advanced Split** (one instrument from ~100). For a single clean stem, Split from Mix often beats pulling all 12. See `${CLAUDE_PLUGIN_ROOT}/reference/suno/v5-best-practices.md` § Stem Extraction.
Mix polishing removes defects, not character. Be conservative with processing. Over-processing sounds worse than under-processing.
All processing writes to `polished/` — originals are never modified. The user can always go back.
Mix polish operates at different frequencies than mastering to prevent cancellation:
---
Check for custom mix presets:
1. Call `load_override("mix-presets.yaml")` — returns override content if found 2. If found: deep-merge custom presets over built-in defaults 3. If not found: use base presets only
**`{overrides}/mix-presets.yaml`:**
genres:
dark-electronic:
vocals:
noise_reduction: 0.8
high_tame_db: -3.0
bass:
highpass_cutoff: 20
gain_db: 2.0---
Before polishing, resolve audio path via MCP:
1. Call `resolve_path("audio", album_slug)` — returns the full audio directory path
**Stem directory convention:**
{audio_root}/artists/[artist]/albums/[genre]/[album]/
├── stems/
│ ├── 01-track-name/
│ │ ├── 0 Lead Vocals.wav
│ │ ├── 1 Backing Vocals.wav
│ │ ├── 2 Drums.wav
│ │ ├── 3 Bass.wav
│ │ ├── 4 Guitar.wav
│ │ ├── 5 Keyboard.wav
│ │ ├── 6 Strings.wav
│ │ ├── 7 Brass.wav
│ │ ├── 8 Woodwinds.wav
│ │ ├── 9 Percussion.wav
│ │ ├── 10 Synth.wav
│ │ └── 11 FX.wav
│ └── 02-track-name/
│ └── ...
├── polished/ # ← mix-engineer output
│ ├── 01-track-name.wav
│ └── ...
└── mastered/ # ← mastering-engineer output
└── ...---
Before polishing, verify: 1. **Audio folder exists** — resolve via MCP 2. **Stems available** — check for `stems/` subdirectory with track folders 3. If no WAV files at all: "No audio files found. Import audio first."
analyze_mix_issues(album_slug)
This automatically detects stems — if no root WAVs exist but `stems/` has track directories, it analyzes a representative stem from each track. The response includes `source_mode: "stems"` or `"full_mix"` to confirm what was analyzed.
**What to check:**
**Report findings** to user with plain-English explanations:
**Stems are always preferred.** `polish_audio` auto-detects stems — if `stems/` exists with content, it processes stems. If not, it falls back to full-mix mode automatically. You do NOT need to pass `use_stems` manually.
**Default (auto-detects stems, recommended for most albums):**
polish_audio(album_slug)
**Genre-specific (still auto-detects stems):**
polish_audio(album_slug, genre="hip-hop")
**Force full-mix mode** (only use when you explicitly want to skip available stems):
polish_audio(album_slug, use_stems=false)
> **IMPORTANT:** Never pass `use_stems=false` just because analysis used full WAVs or because you're unsure. The default auto-detection handles this correctly. Only force full-mix mode if the user specifically requests it.
polish_audio(album_slug, dry_run=true)
Shows what processing w
I love music but never learned an instrument. AI became the creative outlet that was always out of reach. This project started as a way to go deep on Claude Code plugin architecture, agentic workflows, multi-model orchestration, and MCP tooling.
Repo: bitwize-music-studio/claude-ai-music-skills
Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or…
Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual…
Designs album concepts, tracklist architecture, and thematic planning through 7 structured phases. Use when planning a new album or reworking an existing album…
Shows a structured progress dashboard for an album with percentage complete per phase, blocking items, and status breakdown. Use for a quick visual overview of…
Tracks and manages album ideas including brainstorming, planning, and status updates. Use when the user wants to add, review, or organize their album idea…
Copies track content (lyrics, style prompts, streaming lyrics) to the system clipboard. Use when the user needs to paste lyrics or style prompts into Suno or…