What data sources does this skill use for its analysis?

The skill leverages the Marketcheck API via the dealer plugin to access real-time automotive market data, including active listings, competitive pricing, and historical demand trends.

What configuration is required to start using the skill?

Users must have a 'marketcheck-profile.md' file in their project memory containing the dealer_id, location data, and target margin preferences.

Does this skill support dealerships located outside the United States?

It provides full functionality for US-based dealers and a specialized 'lot-scanner' version for UK dealers that offers competitive price medians and lot scanning capabilities.

What is the recommended frequency for running this review?

It is optimized for weekly use, particularly on Monday mornings for lot management or immediately prior to major auction days to identify inventory sourcing needs.

Weekly Dealer Review

Name: Weekly Dealer Review
Author: MarketcheckHub

byMarketcheckHub

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Analytics & Monitoring

Automates comprehensive automotive inventory analysis, competitive pricing audits, and localized stocking recommendations for car dealerships.

The Weekly Dealer Review skill provides a tactical intelligence layer for automotive dealerships by performing parallel scans of current inventory and real-time market demand. It utilizes a multi-agent orchestration pattern to price every unit on the lot against local competitors, identifying overpriced units that need reductions and underpriced units that can yield better margins. Designed for Monday morning strategy sessions or pre-auction preparation, the skill generates a prioritized 'hot list' of in-demand vehicles for acquisition and provides a clear top-5 action plan to optimize lot turnover and minimize floor plan costs.

Key Features

012 GitHub stars

02Dynamic stocking 'hot lists' generated from localized market demand and sales velocity.

03Localized market demand snapshots including top-performing models and body types.

04Full lot competitive pricing scan with automated market gap percentage analysis.

05Inventory aging tracking with automated price adjustment recommendations.

06Multi-agent parallel orchestration for high-speed processing of large vehicle inventories.

Use Cases

01Conducting Monday morning dealer strategy meetings to review inventory performance and pricing.

02Generating optimized auction buy lists based on real-time market gaps and high-demand localized models.

03Auditing dealership lot pricing against regional competitors to maintain optimal market positioning.

Key Features

012 GitHub stars

02Dynamic stocking 'hot lists' generated from localized market demand and sales velocity.

03Localized market demand snapshots including top-performing models and body types.

04Full lot competitive pricing scan with automated market gap percentage analysis.

05Inventory aging tracking with automated price adjustment recommendations.

06Multi-agent parallel orchestration for high-speed processing of large vehicle inventories.

Use Cases

01Conducting Monday morning dealer strategy meetings to review inventory performance and pricing.

02Generating optimized auction buy lists based on real-time market gaps and high-demand localized models.

03Auditing dealership lot pricing against regional competitors to maintain optimal market positioning.