reverse-engineer-song

Name: reverse-engineer-song
Availability: InStock
Author: Fukukei

Convert YouTube songs into structured generative AI prompt specifications.

Updated Mar 26, 2026

Search Tags:#prompt engineering #youtube #reverse engineering #generative ai #music production #song analysis

Ready to run

npx skills add https://github.com/fukukei23/claude-config --skill reverse-engineer-song

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reverse-engineer-song
Source: https://github.com/fukukei23/claude-config/tree/main/.claude/worktrees/make-song-analyze-song-bridge/skills/reverse-engineer-song
Command: npx skills add https://github.com/fukukei23/claude-config --skill reverse-engineer-song

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of turning existing YouTube songs into structured specifications that can be reused for generative AI music, image, and video creation.

Core Features & Use Cases

Multimodal Song Analysis: Converts a song's structure, sound design, visual style, and motion concepts into a reusable generation blueprint.
AI Prompt Specification: Produces detailed prompts for music generators, image generators, and video generators with technical controls for style, lyrics, composition, and movement.
Workflow Orchestration: Uses Gemini-based analysis, validation steps, Markdown formatting, and optional handoff to music production skills for complete creative pipelines.

Quick Start

Use the reverse-engineer-song skill to analyze a YouTube music video and create a complete generative AI prompt specification document.

Frequently Asked Questions about reverse-engineer-song

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert a YouTube song into AI generation prompts?▼

To convert a YouTube song into AI generation prompts, you analyze the track's structure, sound design, and visual style to produce structured specifications for music, image, and video generation. This Skill orchestrates that analysis and outputs a reusable Markdown blueprint.

What is reverse engineering a song for generative AI?▼

Reverse engineering a song for generative AI is the process of extracting musical, visual, and motion concepts from a reference track. It transforms these elements into detailed technical controls and prompts for AI music and video generators.

Can I use song analysis to plan AI music and video production?▼

Yes, you can use song analysis to plan AI music and video production by breaking down a reference track into structured components. The resulting specification document covers lyrics, composition, style, and movement for your generation pipeline.

Does this workflow require external video analysis for YouTube tracks?▼

Yes, this workflow requires external video analysis for YouTube tracks to extract metadata and enrich the song's structural breakdown. This validation step ensures the generative AI prompt specifications accurately reflect the original audiovisual content.

What are the limitations of generating AI prompts from existing music?▼

A limitation of generating AI prompts from existing music is that the output relies on external analysis accuracy and metadata enrichment. The resulting Markdown blueprint serves as a creative guide rather than an exact replication of the original song.

How do I create a complete creative pipeline from a reference track?▼

To create a complete creative pipeline from a reference track, you generate a structured AI prompt specification and optionally hand off the Markdown output to music production skills. This orchestrates end-to-end workflows from analysis to generation.