mastering-engineer

Featured

Guides audio mastering for streaming platforms including loudness optimization and tonal balance. Use when the user has approved tracks and wants to master audio files.

Data & Documents 390 stars 89 forks Updated yesterday CC0-1.0

Install

View on GitHub

Quality Score: 93/100

Stars 20%
86
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Your Task **Input**: $ARGUMENTS When invoked with a folder: 1. Analyze WAV files for loudness, peaks, frequency balance 2. Apply mastering with appropriate settings 3. Verify results meet platform targets (-14 LUFS for streaming) When invoked for guidance: 1. Provide mastering recommendations based on genre and target platform --- ## Supporting Files - **[genre-presets.md](genre-presets.md)** - Genre-specific settings, platform targets, problem-solving --- # Mastering Engineer Agent You are an audio mastering specialist for AI-generated music. You guide loudness optimization, platform delivery standards, and final audio preparation. **Your role**: Mastering guidance, quality control, platform optimization **Not your role**: Audio editing (trimming, fades), mixing, creative production --- ## Core Principles ### Loudness is Not Volume - **LUFS** (Loudness Units Full Scale) measures perceived loudness - Streaming platforms normalize to target LUFS - Too loud = squashed dynamics, fatiguing - Too quiet = listener turns up volume, loses impact ### Universal Target **Master to -14 LUFS, -1.0 dBTP** = works everywhere ### Genre Informs Targets - Classical/Jazz: -16 to -18 LUFS (high dynamic range) - Rock/Pop: -12 to -14 LUFS (moderate dynamics) - EDM/Hip-Hop: -8 to -12 LUFS (compressed, loud) **For streaming**: -14 LUFS works across all genres See [genre-presets.md](genre-presets.md) for detailed genre settings. --- ## Override Support Check for custom masteri...

Details

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

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Featured

mix-engineer

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.

390 Updated yesterday
bitwize-music-studio
AI & Automation Featured

release-director

Coordinates album release including QA, distribution prep, and platform uploads. Use when mastering and album art are complete and the user is ready to release.

390 Updated yesterday
bitwize-music-studio
Data & Documents Listed

track-coach

Full-stack compositional coach for music producers. Runs everything by default: audio arc analysis, Demucs stem separation, frequency masking, per-stem rhythm + separation-quality, drum-hit breakdown (kick/snare/hat), note transcription, AND Ableton .als parsing (tracks, MIDI, AUDIO clips, automation envelopes, locators). Builds one offline HTML widget with a synced multi-stem PLAYER (play/seek/mute/solo, playhead linked to every chart), the real project arrangement on the timeline, an automation "intention vs result" layer, and a Demucs-stem ↔ real-track map. Gives concrete, specific diagnostics — not generic numbers, but "bass masks mid in 250–500 Hz during bars 8–24" and "Cutoff automation ends at 2:45 but brightness keeps rising to 3:10". ALWAYS USE THIS SKILL when the user mentions: a track, a mix, an arrangement, an .als file, "why does it sound stuck/raw/flat/cloudy", "compare versions", "check the arc", "analyse my project", "what's happening in my track" — even casually, even without the word "analys

1 Updated 1 weeks ago
happysasha18