Comprehensive DMA overview for auction planning. Triggers: "market overview for [state]", "DMA health check", "market intelligence", "what's the market like in [area]", "state market snapshot", "market conditions in Texas", "how is the [state] wholesale market", "market report", comprehensive view of a target DMA including supply levels, demand velocity, pricing trends, top sellers, and key dealer groups.
From auction-housenpx claudepluginhub marketcheckhub/marketcheck-cowork-plugin --plugin auction-houseThis skill uses the workspace's default tool permissions.
Provides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.
Builds 3-5 year financial models for startups with cohort revenue projections, cost structures, cash flow, headcount plans, burn rate, runway, and scenario analysis.
Date anchor: Today's date comes from the
# currentDatesystem 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.
Load the marketcheck-profile.md project memory file if exists. Extract: zip/postcode, state/region, target_dmas, vehicle_segments, country, radius. If missing, ask for target state. US: get_sold_summary, search_active_cars. UK: search_uk_active_cars only (limited — supply snapshot only, no demand data). Confirm: "Using profile: [company], [state], [Country]". All preference values from profile — do not re-ask.
Auction house sales exec or regional director assessing a DMA for auction potential. Need to understand: Is this market worth running sales in? What segments have demand? Who are the big players?
dma-scanner agent availability — If the auction-house:dma-scanner agent is not available or fails, fall back to manual calls: run get_sold_summary for demand and search_active_cars with facets for supply. Do not error out — always have a manual fallback path.state. Large states like Texas contain multiple DMAs (Dallas, Houston, San Antonio, Austin). When the user says "Dallas DMA," use zip + radius=100 instead of state=TX to avoid mixing Houston data into Dallas analysis.facets=dealer_id|0|50|2 call returns individual dealer locations, not parent groups. Multiple dealer_ids may belong to the same group (e.g., AutoNation has dozens of locations per state). Group-level intelligence requires manual recognition of known group names in seller_name fields.search_uk_active_cars. No demand velocity, no sold data, no market classification. Label the report "Supply Snapshot Only — demand data unavailable for UK market."| Field | Source | Default |
|---|---|---|
| Target state | User input or profile | — |
| Vehicle segments | Profile | all |
Multi-agent approach: Use the dma-scanner agent for comprehensive DMA analysis. If the agent is unavailable, fall back to the manual steps below.
Use the Agent tool to spawn the auction-house:dma-scanner agent with this prompt:
DMA market intelligence for state=[state]. Date range: [first of prior month] to [last of prior month]. Sections: all.
The agent returns: demand snapshot, supply health, top models, top dealer groups.
Manual fallback (if agent is unavailable or for quick single-section runs):
mcp__marketcheck__get_sold_summary with state=[XX], inventory_type=Used, ranking_dimensions=body_type, ranking_measure=sold_count, ranking_order=desc, top_n=15, date_from=[YYYY-MM-01], date_to=[YYYY-MM-DD]. Extract: per body_type sold_count, average_sale_price, average_days_on_market.mcp__marketcheck__search_active_cars with state=[XX], car_type=used, seller_type=dealer, facets=body_type|0|20|1, stats=price,dom, rows=0, price_min=1. Extract: total active supply (num_found), per body_type counts, avg_dom, avg_price.mcp__marketcheck__get_sold_summary with state=[XX], inventory_type=Used, ranking_dimensions=make,model, ranking_measure=sold_count, ranking_order=desc, top_n=20, same date range. Extract: per model sold_count, average_sale_price.mcp__marketcheck__search_active_cars with state=[XX], car_type=used, seller_type=dealer, facets=dealer_id|0|30|2, rows=0. Then for top 10 dealer_ids, call mcp__marketcheck__search_active_cars with dealer_id=[id], car_type=used, rows=1 to get seller_name and city. Extract: dealer name, city, unit count.After receiving agent results, synthesize:
Market scorecard — Headline metrics: total monthly sold volume, avg sale price, avg DOM, days supply, volume trend (MoM).
Market classification:
Auction strategy implications:
Top dealer groups — Frame as both potential consigners (they wholesale trades) AND buyers (they restock from auction). Note which groups are likely auction participants.
Segment opportunity map — Which segments to source for (high D/S) vs avoid (low D/S). Connect to lane planning.
Use this when the user says "compare Texas vs California" or "which of my markets is strongest."
dma-scanner agent for each state in parallel.Market scorecard table: metric, value, trend signal. Demand by segment with D/S ratios. Top 10 models table. Top 10 dealer groups table (flagged as potential consigners or buyers). Market classification with auction strategy. 3 actionable recommendations.
-- DMA Market Intelligence: [State] — [Month Year] --------------------------------
-- Market Scorecard ----------------------------------------------------------------
| Metric | Value | Trend | Signal |
|---------------------|------------- |-----------|-------------|
| Monthly Sold Volume | 12,450 | +6% MoM | EXPANDING |
| Avg Sale Price | $27,800 | +2% MoM | RISING |
| Avg Days on Market | 38 | -3 days | IMPROVING |
| Days Supply | 42 | | HEALTHY |
| Active Listings | 17,200 | | |
Classification: [EXPANDING / STABLE / CONTRACTING / MIXED]
-- Demand by Segment ---------------------------------------------------------------
| Segment | Sold/Mo | Active Supply | D/S Ratio | Signal |
|----------|---------|---------------|-----------|--------|
| SUV | 4,200 | 5,100 | 0.82 | WARM |
| Pickup | 3,100 | 3,400 | 0.91 | WARM |
| Sedan | 2,800 | 4,500 | 0.62 | COOL |
| ... | ... | ... | ... | ... |
-- Top 10 Models by Volume ---------------------------------------------------------
| Rank | Make/Model | Sold/Mo | Avg Price | Avg DOM |
|------|------------------|---------|------------|---------|
| 1 | Toyota RAV4 | 820 | $29,400 | 28 |
| ... | ... | ... | ... | ... |
-- Top 10 Dealer Groups ------------------------------------------------------------
| Rank | Dealer Group | City | Active Units | Likely Role |
|------|------------------|-------------|------------- |--------------------|
| 1 | AutoNation | Dallas | 420 | BUYER + CONSIGNER |
| ... | ... | ... | ... | ... |
-- Auction Strategy ----------------------------------------------------------------
[Strategy recommendation based on market classification]
-- Recommendations -----------------------------------------------------------------
1. [Actionable recommendation]
2. [Actionable recommendation]
3. [Actionable recommendation]