Do I need a configuration file to use this skill?

Yes, it requires a ~/.bitwize-music/config.yaml file to define your content root, audio root, and artist name for path resolution.

What does the validate-album skill check?

It verifies the existence of album directories, README files, track folder structures, audio file paths, and specific metadata fields within track markdown files.

Can this skill fix errors automatically?

It identifies errors and provides the specific shell commands needed to fix them, such as 'mv' commands for misplaced audio folders, allowing you to review and execute the fix.

How does it handle different types of albums?

The skill includes specific validation logic for documentary-style albums, checking for additional required files like RESEARCH.md and SOURCES.md.

Validate Album

Name: Validate Album
Author: bitwize-music-studio

bybitwize-music-studio

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Productividad y Flujo de Trabajo

Ensures music album directory structures, track metadata, and audio file locations adhere to standardized production workflows.

Acerca de

This skill automates the verification of music production workspaces, specifically designed for human-AI collaborative workflows using Suno. It cross-references your global configuration to validate file paths across content and audio roots, performs deep inspections of track markdown files to ensure required metadata like Suno links are present, and provides actionable CLI commands to fix identified path issues. By catching structural errors early, it maintains organization and prevents data loss in complex music libraries.

Características Principales

Cross-path validation between content repositories and audio storage roots
Detailed status reporting including pass, fail, warning, and skip summaries
Automated verification of album folder structures and required markdown files
Intelligent error detection for misplaced files with suggested fix commands
Metadata integrity checks for track status and AI generation links
3 GitHub stars

Casos de Uso

Standardizing AI music production workflows for consistent archiving and retrieval
Troubleshooting broken file paths between local content and external audio drives
Pre-release audit to ensure all track metadata and audio assets are correctly organized

Acerca de

Características Principales

Cross-path validation between content repositories and audio storage roots
Detailed status reporting including pass, fail, warning, and skip summaries
Automated verification of album folder structures and required markdown files
Intelligent error detection for misplaced files with suggested fix commands
Metadata integrity checks for track status and AI generation links
3 GitHub stars

Casos de Uso

Standardizing AI music production workflows for consistent archiving and retrieval
Troubleshooting broken file paths between local content and external audio drives
Pre-release audit to ensure all track metadata and audio assets are correctly organized