musical-essence-laimis

Consolidate analyzed tracks into a musical identity profile with SUNO/Udio prompts.

Updated Oct 27, 2025
One-click install
npx skills add https://github.com/nn1k4/musical-essence --skill musical-essence-laimis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: musical-essence-laimis
Source: https://github.com/nn1k4/musical-essence/tree/main/v2
Command: npx skills add https://github.com/nn1k4/musical-essence --skill musical-essence-laimis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a self-contained, data-rich profile of Laimis's musical taste and a full prompt system, removing the need to re-analyze large playlists or external files.

Core Features & Use Cases

  • Core identity, statistics, and top artists provide a comprehensive taste map.
  • 6 master prompts and a robust prompt generation framework enable SUNO/Udio prompt creation, taste description, and mood-based playlist generation.
  • Integrated references and an internal prompt library support deep-dive analysis and troubleshooting for consistent results.

Quick Start

Ask this skill to generate a universal SUNO/Udio prompt for a meditative mood.

Frequently Asked Questions about musical-essence-laimis

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

FAQPage Schema
How do I generate Suno or Udio prompts based on my music taste?

This skill generates Suno and Udio prompts by consolidating analyzed tracks and playlist data into a self-contained profile. It provides six master prompts and a framework to create prompts based on your specific musical identity and taste statistics.

What is the best way to describe my musical identity using my playlist data?

Describing your musical identity uses a structured profile that consolidates 169 analyzed tracks and 174 playlist tracks. This skill outputs core statistics, top artists, and a taste description to map your listening habits without re-analyzing external files.

Can I assemble mood playlists from my internal track datasets?

You can assemble mood playlists across internal datasets by utilizing a self-contained musical data profile. This skill generates mood-based playlists from 174 consolidated playlist tracks using an integrated prompt generation framework.

Do I need to re-analyze my playlists every time I want a new prompt?

No, re-analyzing large playlists or external files is unnecessary. This skill uses a self-contained data profile with a ready-made prompt library, removing the need to re-process your playlists for Suno or Udio prompt creation.

Does this music analysis skill provide statistics on top artists?

The music analysis provides core statistics and top artist data by consolidating 169 analyzed tracks into a structured frontmatter identity. It outputs a comprehensive taste map and supports deep-dive analysis through integrated references.