Does this skill provide real-time transaction data?

The skill uses Marketcheck listings activity as a proxy for retail velocity. While not direct internal transaction data, it provides a highly accurate view of market movement and inventory health.

How is the Efficiency Score calculated?

The Efficiency Score is calculated as (Volume / Average Days on Market). This serves as a proxy for capital efficiency, capturing both high demand and effective inventory turnover.

Which dealer groups are supported by this skill?

This skill supports all major publicly traded US dealer groups, including AutoNation (AN), Lithia Motors (LAD), Penske Automotive (PAG), Sonic Automotive (SAH), Group 1 Automotive (GPI), Asbury Automotive (ABG), CarMax (KMX), and Carvana (CVNA).

Can I use this for non-US markets?

Currently, this skill is optimized for the US market only, as it relies on US-specific data structures and publicly traded entities listed on US exchanges.

Dealer Group Health Monitor

Name: Dealer Group Health Monitor
Author: MarketcheckHub

byMarketcheckHub

•

Analíticas y Monitorización

Analyzes operational health and investment signals for publicly traded automotive dealer groups using real-time market data.

The Dealer Group Health Monitor is a specialized Claude Code skill designed for automotive executives and equity analysts to benchmark the performance of major US dealer groups like AutoNation, Lithia, and Carvana. By leveraging the Marketcheck API, it automates the tracking of critical KPIs including sales volume, Average Sale Price (ASP), and Days on Market (DOM). The skill identifies key investment signals through Month-over-Month (MoM) comparisons, calculates operational efficiency scores, and provides deep-dive inventory health metrics like Days Supply to help users form data-driven bullish or bearish investment theses.

Características Principales

01Automated MoM performance analysis with standardized signal logic.

02Real-time KPI tracking for sales volume, ASP, and Days on Market (DOM).

032 GitHub stars

04Peer group benchmarking across the top 8 publicly traded US automotive retailers.

05Comprehensive inventory health metrics including Days Supply and inventory build/draw trends.

06Segment and brand mix analysis to identify operational strengths and weaknesses.

Casos de Uso

01Market researchers tracking pricing pressure and margin risk indicators in the US auto market.

02Equity analysts conducting due diligence and pre-earnings analysis on auto retail stocks.

03Dealer group executives benchmarking their group's market velocity against national competitors.

Características Principales

01Automated MoM performance analysis with standardized signal logic.

02Real-time KPI tracking for sales volume, ASP, and Days on Market (DOM).

032 GitHub stars

04Peer group benchmarking across the top 8 publicly traded US automotive retailers.

05Comprehensive inventory health metrics including Days Supply and inventory build/draw trends.

06Segment and brand mix analysis to identify operational strengths and weaknesses.

Casos de Uso

01Market researchers tracking pricing pressure and margin risk indicators in the US auto market.

02Equity analysts conducting due diligence and pre-earnings analysis on auto retail stocks.

03Dealer group executives benchmarking their group's market velocity against national competitors.