music-streams

Analyzes Spotify artist and track data to generate a structured intelligence scorecard.

Updated Aug 27, 2026

Search Tags:#catalog #streaming #analyze #spotify #artist #music-investment #top-tracks

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze streaming metrics and catalog composition using Spotify to support research on artist reach, catalog value, and release dynamics for investment decisions.

Core Features & Use Cases

Profile artists: followers, popularity, and genres from Spotify.
Top tracks and discography: map releases, release velocity, and catalog size.
Investment insights: compare artists/labels and assess catalog value for strategic decisions.

Quick Start

Provide an artist identifier (URL, ID, or ISRC) and run the analysis pipeline to generate the streaming intelligence scorecard.

Frequently Asked Questions about music-streams

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

FAQPage Schema

How do I analyze a Spotify artist's streaming metrics for catalog investment decisions?▼

To analyze a Spotify artist for catalog investment, provide an artist identifier like a URL, ID, or ISRC to generate a streaming intelligence scorecard featuring followers, popularity, genres, and discography data. The pipeline maps releases and calculates catalog value metrics.

What Spotify data do I need to assess an artist's catalog value and release dynamics?▼

Assessing catalog value requires a Spotify artist identifier to extract profile metrics, top tracks, and discography data. The analysis outputs reproducible metrics including release span, track-level popularity, and release velocity needed for investment insights.

Can I compare multiple Spotify artists to evaluate music investment opportunities?▼

Yes, you can compare Spotify artists and labels by running the analysis pipeline for each artist to produce structured streaming intelligence scorecards. Comparing these scorecards supports strategic catalog investment decisions and assesses relative catalog value.

How does the analysis handle missing Spotify data or large discographies?▼

The analysis gracefully handles missing data by providing clear degradation signals and always returning a complete scorecard. It paginates album results up to 50 per request to manage large discographies while capping errors during the streaming data extraction.

What metrics are included in the streaming intelligence scorecard for Spotify artists?▼

The streaming intelligence scorecard includes artist followers, popularity scores, genres, release span, and track-level data from top tracks. These reproducible metrics map catalog composition and release velocity to inform catalog investment decisions.