music-discover

Assemble artist, label, or release investment profiles from MusicBrainz data.

Updated Aug 27, 2026

Search Tags:#investment #data-analysis #music #lookup #musicbrainz #release-group

Ready to run

npx skills add https://github.com/mylesfranklin/skills --skill music-discover

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: music-discover
Source: https://github.com/mylesfranklin/skills/tree/main/skills/music-discover
Command: npx skills add https://github.com/mylesfranklin/skills --skill music-discover

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analysts need to convert rich MusicBrainz data into investment-relevant insights for artists, labels, and catalogs, but require a structured workflow to gather signals from complex relationships.

Core Features & Use Cases

Full MB lookups with includes for tags, genres, ratings, url-rels, artist-rels, label-rels, and release-groups to build comprehensive profiles.
Release-group browsing and sample lookups to assess catalog size, roster, and distribution.
Signal extraction from relations (streams, label data, collaborators) to inform investment decisions.
Use Case: evaluate a label's catalog to identify growth opportunities and potential acquisitions.

Quick Start

Query MusicBrainz for an artist or label and generate an investment brief.

Frequently Asked Questions about music-discover

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

FAQPage Schema

How do I analyze MusicBrainz data to evaluate a music catalog for investment?▼

MusicBrainz investment analysis works by performing a full lookup of an artist or label, extracting signals from tags, genres, ratings, and relations, and generating a structured investment scorecard to assess catalog value.

What is the best way to use MusicBrainz release-groups to assess artist catalog size?▼

Browsing MusicBrainz release-groups assesses catalog size by sampling key releases within a release-group, extracting distribution and roster signals to inform acquisition decisions and identify growth opportunities.

Can I use a MusicBrainz ID to generate an investment profile for a record label?▼

Yes, you can input a MusicBrainz ID, URL, or text query for a record label to perform a comprehensive lookup that assembles an investment profile using label-rels and release-group data.

How does MusicBrainz relation data inform music acquisition decisions?▼

MusicBrainz relation data informs acquisitions by extracting signals from artist-rels, label-rels, and url-rels, which reveal collaborator networks, distribution channels, and streaming data relevant to valuation.

What MusicBrainz lookup includes are needed to build a comprehensive investment scorecard?▼

Building an investment scorecard requires MusicBrainz lookup includes for tags, genres, ratings, url-rels, artist-rels, label-rels, and release-groups to capture comprehensive catalog signals.

Are there limitations to using MusicBrainz API data for music catalog valuation?▼

MusicBrainz API data limitations for valuation include relying on community-contributed metadata, which may lack real-time streaming metrics or financial figures needed for precise investment analysis.