Sector momentum for investment decisions. Triggers: "market report", "automotive market signal", "monthly auto market", "investment briefing auto sector", "sector overview", "auto industry health", "market scorecard", "which brands are winning", "pricing power index", "market momentum", "sector momentum", "auto sector thesis", "monthly sector intelligence", comprehensive monthly overview of the US automotive market for investment decisions and sector-level portfolio allocation.
From analystnpx claudepluginhub marketcheckhub/marketcheck-cowork-plugin --plugin analystThis skill uses the workspace's default tool permissions.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
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: tracked_tickers, tracked_states, benchmark_period_months, country. If missing, produces national overview. US-only. Confirm profile.
Macro analyst, fund manager, or sector specialist needing comprehensive sector-level view of US auto market for investment decisions and portfolio allocation. Broadest skill -- covers entire US auto sector with BULLISH/BEARISH/NEUTRAL/CAUTION signals tied to auto-sector equities.
Total volume: Call mcp__marketcheck__get_sold_summary with:
date_from / date_to: current monthranking_dimensions: inventory_typeranking_measure: sold_counttop_n: 5Repeat for prior month and 3 months ago.
→ Extract only: sold_count, average_sale_price, average_days_on_market per inventory_type per period. Discard full response.
Calculate:
EV penetration: Call with fuel_type_category=EV for current and prior. Calculate penetration rate and bps change.
→ Extract only: sold_count for EV per period. Discard full response.
Call mcp__marketcheck__get_sold_summary with:
ranking_dimensions: makeranking_measure: sold_countranking_order: desctop_n: 25make, sold_count per period. Discard full response.Calculate share % and bps change for each make. Map each make to its ticker. Identify:
Call mcp__marketcheck__get_sold_summary with:
inventory_type: Newranking_dimensions: makeranking_measure: price_over_msrp_percentageranking_order: desctop_n: 20make, price_over_msrp_percentage per brand. Discard full response.Categorize:
Track overall: what % of new vehicles sell above/below MSRP? Compare to prior month.
Call mcp__marketcheck__get_sold_summary with:
inventory_type: Usedranking_dimensions: body_typeranking_measure: average_sale_priceranking_order: asctop_n: 10body_type, average_sale_price per period. Discard full response.Calculate monthly depreciation rate per segment. Flag segments with > 1.5%/month as accelerating.
Also identify the 5 fastest depreciating specific models (by make/model):
ranking_dimensions: make,modelranking_measure: average_sale_priceranking_order: asctop_n: 20
→ Extract only: make, model, average_sale_price per period. Discard full response.Cross-reference with 3-month-ago data. Map depreciating models to their OEM tickers.
Call mcp__marketcheck__get_sold_summary with:
summary_by: stateranking_measure: average_sale_priceranking_order: desctop_n: 10
→ Extract only: state, average_sale_price, sold_count per state. Discard full response.Identify:
Call mcp__marketcheck__search_active_cars with:
car_type: new, stats: price,dom, rows: 0And separately with car_type=used.
→ Extract only: num_found, stats.dom.mean per car_type. Discard full response.
Calculate:
Present: sector health composite headline (EXPANDING/STABLE/CONTRACTING/MIXED), macro signals table, winners/losers by market share with tickers, pricing power index, depreciation alert with fastest depreciating segments/models mapped to tickers, and 3 key investor signals with portfolio implications.
get_sold_summary for sold data.