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

Human + AI music production workflow for Suno - skills, templates, and tools

What it solves

This project provides a comprehensive pipeline for music production using AI, allowing users to go from a conceptual idea to a finished album. It automates the complex coordination between research, lyric writing, prompt engineering for music generation platforms like Suno, and final audio mastering, removing the technical barriers for those who cannot play instruments.

How it works

It is implemented as a Claude Code plugin that utilizes a multi-model orchestration system and a Model Context Protocol (MCP) server.

  • Skill System: 53 specialized "skills" (defined in Markdown/YAML) are routed automatically by Claude based on context. These skills handle everything from rhyme scheme analysis to loudness targets for mastering.
  • Multi-Model Orchestration: The system assigns tasks to different Claude models based on the required quality: Opus for creative work (lyrics, concepts), Sonnet for reasoning and coordination, and Haiku for mechanical tasks (imports, validation).
  • MCP Server: A Python-based server provides over 80 tools for audio analysis, lyrics processing, and state management, acting as the nervous system for the plugin.
  • Research System: For documentary-style albums, it coordinates parallel sub-agents to gather and verify primary sources before lyrics are generated.
  • Quality Gates: The pipeline includes strict checklists for lyrics (13 points) and audio (7 points) to ensure professional standards.

Who it’s for

Musicians, creators, and non-musicians who want to use AI to produce full albums with a structured, professional workflow, specifically those using Claude Code and the Suno AI music generation platform.

Highlights

  • Full Album Pipeline: Manages concept development, research, lyrics, Suno prompts, mastering, and release prep.
  • Multi-Agent Research: Uses 10 domain-specific sub-agents to verify factual accuracy in lyrics.
  • ** uma own MCP Server**: Includes 80+ tools for real-time audio analysis and state management.
  • Genre-Specific Guides: Includes production guides and mastering presets for 72 different genres.
  • Cross-Platform Support: Fully supports macOS, Linux, WSL2, and Windows, with a robust CI/CD pipeline.

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