bitwize-music-studio/claude-ai-music-skills

What it solves

It transforms the process of creating a music album from a simple idea into a professional production pipeline. It removes the technical barriers for people who lack musical training by automating the research, songwriting, prompt engineering for AI music generators, and audio post-production.

How it works

The project is a plugin for Claude Code that uses a multi-model orchestration system and a Model Context Protocol (MCP) server to manage the production process. It employs a tiered model strategy: Claude Opus handles high-stakes creative work (lyrics, concepts), Sonnet manages reasoning and coordination, and Haiku handles mechanical tasks.

Key components include:

• Skill System: 53 specialized skills (e.g., lyric writing, mastering) defined in markdown/YAML.
• MCP Server: A Python-based server providing over 80 tools for audio analysis, state management, and lyrics processing.
• Research System: A multi-agent pipeline that dispatches domain-specific researchers to verify facts before lyrics are written.
• Quality Gates: Automated checklists for lyrics (13 points) and audio (7 points) to ensure professional standards.

Who it’s for

It is designed for creators who want to produce full-length albums using AI tools but may not have the technical skills to play instruments or master audio professionally.

Highlights

• End-to-End Pipeline: Covers everything from initial concept and deep research to Suno prompts, audio mastering, and promo video generation.
• Multi-Agent Research: Uses parallel sub-agents to gather and verify primary sources for documentary-style albums.
• Tiered Model Orchestration: Optimizes cost and performance by routing tasks to Opus, Sonnet, or Haiku based on the required creativity or speed.
• Genre Intelligence: Includes production guides and mastering presets for 72 different musical genres.
• Cross-Platform Support: Fully compatible with macOS, Linux, and Windows.