Applies LUFS loudness normalization and peak limiting to audio tracks for streaming-ready distribution.
The Music Master skill automates post-production audio mastering for AI-generated tracks within the Ruflo ecosystem. It standardizes track loudness to industry-standard targets (-14 LUFS for modern streaming platforms) and applies peak limiting to prevent digital clipping, reporting precise before-and-after loudness metrics while caching production state for efficient workflow management.
Key Features
01Applies industry-standard -14 LUFS loudness normalization
02Caches mastering metadata locally to prevent redundant round-trips
03Integrates peak limiting to prevent audio distortion and clipping
04Integrates directly with the CogMusic MCP server and Ruflo memory store
0569,650 GitHub stars
06Reports detailed before-and-after LUFS loudness metrics
Use Cases
01Finalizing AI-generated music tracks for streaming platform distribution
02Normalizing loudness levels across a batch of generated audio productions
03Automating post-production mastering in agentic audio workflows