Can this skill handle EBU R128 loudness normalization?

Yes, it provides comprehensive workflows for single-pass and two-pass EBU R128 normalization, ensuring broadcast compliance for TV and streaming.

How does it handle Windows file paths?

The skill is strictly optimized for cross-platform use, ensuring backslashes are used for Windows file paths during all edit and write operations.

Does it support extracting audio without re-encoding?

Yes, it includes specific commands to copy audio streams directly from video containers (using -c:a copy) to preserve original quality.

Can I use this skill for batch processing multiple audio files?

Absolutely. It provides shell script patterns and FFmpeg-specific logic for processing entire directories of audio files simultaneously.

Is there support for noise reduction and EQ?

Yes, the skill covers high-pass/low-pass filters, multi-band equalization, and FFT-based noise reduction techniques (afftdn).

FFmpeg Audio Processing

Name: FFmpeg Audio Processing
Author: JosiahSiegel

byJosiahSiegel

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Content Management

Automates professional audio encoding, normalization, and mastering workflows using FFmpeg.

About

The FFmpeg Audio Processing skill transforms Claude into an expert audio engineer, providing advanced workflows for high-quality audio manipulation. It specializes in broadcast-compliant loudness normalization (EBU R128), audio extraction from video, and multi-format encoding across AAC, MP3, Opus, and lossless formats. Whether you are building podcast mastering chains, adjusting channel layouts for surround sound, or implementing noise reduction, this skill provides the professional-grade commands and scripts necessary to ensure technical compliance and acoustic quality.

Key Features

Complex channel operations for stereo, mono, and 5.1 surround sound downmixing
Professional loudness normalization for broadcast and streaming standards (EBU R128, Spotify, YouTube)
7 GitHub stars
High-fidelity audio extraction and multi-format conversion with optimal bitrate selection
Automated two-pass processing scripts for precision audio mastering
Advanced audio filtering including multi-band EQ, noise reduction, and dynamic range compression

Use Cases

Batch-converting large audio libraries for web compatibility using modern codecs like Opus
Automating podcast post-production to meet -16 LUFS streaming standards
Extracting high-quality lossless audio from video assets for archival or remixing

About

Key Features

Complex channel operations for stereo, mono, and 5.1 surround sound downmixing
Professional loudness normalization for broadcast and streaming standards (EBU R128, Spotify, YouTube)
7 GitHub stars
High-fidelity audio extraction and multi-format conversion with optimal bitrate selection
Automated two-pass processing scripts for precision audio mastering
Advanced audio filtering including multi-band EQ, noise reduction, and dynamic range compression

Use Cases

Batch-converting large audio libraries for web compatibility using modern codecs like Opus
Automating podcast post-production to meet -16 LUFS streaming standards
Extracting high-quality lossless audio from video assets for archival or remixing