Date anchor: Today's date comes from the # currentDate system context. Compute ALL relative dates from it. Example: if today = 2026-03-14, then "prior month" = 2026-02-01 to 2026-02-28, "current month" (most recent complete) = February 2026, "three months ago" = December 2025. Never use training-data dates.

Monthly Dealer Strategy — Comprehensive Market Intelligence Report

A strategic monthly analysis that gives a dealer the complete picture: how their brand is performing in the market, which models are depreciating fastest, what the broader market trends look like, and a full inventory intelligence report. Run this on the first Monday of each month.

Architecture: This skill uses up to 3 parallel sub-agents to generate the 5-section report. Brand analytics, market demand, and lot composition run simultaneously.

Note: This skill is primarily US-focused. Most sections require get_sold_summary which is US-only. UK dealers will receive a supply-side market overview only.

Profile

Load the marketcheck-profile.md project memory file — required (if missing, tell user to run /onboarding and stop). Extract: dealer_id, dealer_name, dealer_type, franchise_brands, zip/postcode, state/region, country, radius, target_margin, recon_cost, floor_plan_per_day, max_dom, aging_threshold. Also extract: default_inventory_type from preferences ("used" | "new" | "both"; default "used" if not set). Apply as car_type in all lot-scanner and search calls, and as inventory_type in all sold summary calls. Override if user explicitly states otherwise. Never mix new and used data in the same report section. US: all agents. UK: lot-scanner only — Section 5 (supply-side) available; Sections 1-4 require US sold data. Calculate: current_month, prior_month, three_months_ago date ranges. Confirm: "Running monthly strategy report for [dealer_name]..."

Execution: Multi-Agent Orchestration

Wave 1 — Launch Simultaneously (US)

Launch these three agents in parallel using the Agent tool. All are independent.

Agent A: lot-scanner (facets-only mode)

Use the Agent tool to spawn the dealer:lot-scanner agent with this prompt:

Pull lot composition for dealer_id=[dealer_id], country=US, mode=facets_only. Use rows=0 with facets=make|0|10|1,model|0|20|1 and stats=price,dom. Return the top 5 make/model combinations by count and overall lot statistics.

Agent B: market-demand-agent

Use the Agent tool to spawn the dealer:market-demand-agent agent with this prompt:

Generate full inventory intelligence for state=[state], dealer_type=[dealer_type], zip=[zip], radius=[radius], target_margin_pct=[target_margin], recon_cost=[recon_cost]. Date range: [current_month date_from] to [current_month date_to]. Run sections: ds_ratios, turn_rates. Also include body type breakdown.

Agent C: brand-market-analyst

Use the Agent tool to spawn the dealer:brand-market-analyst agent with this prompt:

Analyze brand performance and market trends for state=[state], dealer_type=[dealer_type], franchise_brands=[brands list]. Current month: [current_month dates]. Prior month: [prior_month dates]. Three months ago: [three_months_ago dates]. Run sections: brand_share, market_trends. Skip depreciation (will provide lot models in Wave 2).

Wave 2 — After Lot Scanner Completes

Once lot-scanner returns the top 5 make/model combos from the dealer's lot:

Run depreciation watch directly (or spawn brand-market-analyst again):

For each of the top 5 models, call mcp__marketcheck__get_sold_summary with:

• make, model: the model
• state: from profile
• inventory_type: Used
• ranking_dimensions: make,model
• ranking_measure: average_sale_price
• top_n: 1
• Two calls per model: current_month dates AND three_months_ago dates → Extract only: average_sale_price per model per period. Discard full response.

Calculate:

• Price Change $ = current avg_sale_price - baseline avg_sale_price
• Monthly Depreciation Rate % = (Price Change / baseline) / 3 × 100
• Flag models with monthly depreciation > 1.5% as ACCELERATING DEPRECIATION

Wave 3 — Supply-Side Overview (US + UK)

This simple single call can run after Wave 1 completes or in parallel with Wave 2.

US: Call mcp__marketcheck__search_active_cars UK: Call mcp__marketcheck__search_uk_active_cars

With:

• zip/postcode: from profile
• radius: from profile
• car_type: used
• facets: make|0|20|1,body_type|0|10|1
• stats: price,dom
• rows: 0 → Extract only: facet counts per make and body_type, price/dom stats (mean, median, count). Discard full response.

UK Execution Path

For UK dealers, only run:

1. Wave 3 (Supply-Side Overview) using search_uk_active_cars
2. Note: "Sections 1-4 require US sold data and are not available for UK dealers."

Assembly — Combine All Results

1. Section 1 (Brand Performance) — from brand-market-analyst agent output
2. Section 2 (Depreciation Watch) — from Wave 2 depreciation calculations + lot-scanner facets
3. Section 3 (Market Trends) — from brand-market-analyst agent output
4. Section 4 (Inventory Intelligence) — from market-demand-agent agent output
5. Section 5 (Supply-Side Overview) — from Wave 3

Output

Present: 5-section report — (1) brand performance share table with MoM change in bps, (2) depreciation watch for lot models flagging >1.5%/month, (3) market trends with fastest depreciating models and MSRP parity, (4) inventory intelligence with D/S ratios and aging summary, (5) supply-side overview by body type and make. End with 30-DAY ACTION PLAN (5 items) and key metrics to watch. Cite report period and data source.