Date anchor: Today's date comes from the # currentDate system context. Compute ALL relative dates from it. Example: if today = 2026-03-19, then "most recent complete month" = February 2026 (2026-02-01 to 2026-02-28), "same month last year" = February 2025 (2025-02-01 to 2025-02-28), "Q1 current year" = 2026-01-01 to 2026-03-31, "Q4 prior year" = 2025-10-01 to 2025-12-31. Never use training-data dates.

get_sold_summary parameter safety:

• Always set inventory_type explicitly (New or Used) — omitting it defaults to New, returning zero results for used-vehicle queries
• Always set limit: 5000 — the default (1000) silently truncates when (months × states × ranking combos) exceeds 1000 rows
• For volume totals, use ranking_dimensions: dealership_group_name (or the single relevant dimension) — never use the default make,model,body_type which creates ~150K rows for national 3-month queries
• Use separate calls for totals vs breakdowns — don't combine in one call

Public Dealer Group Quintile Scorecard

Score all 8 publicly traded US dealer groups on 6 operational KPIs against the full ~400 dealer group industry cohort. Each KPI is assigned a quintile (Q1-Q5) based on the group's position within the cohort distribution, then combined into a weighted composite score (1.0-5.0).

Architecture: This skill spawns the cohort-benchmarking-agent to fetch cohort data and compute quintile thresholds, then optionally fetches stock returns via WebFetch. The skill assembles the final scorecard with narrative summaries.

User Profile (Required)

Load the marketcheck-profile.md project memory file if exists. Extract: tracked_tickers, country. If missing, proceed with defaults (all 8 public groups, US). US-only skill.

Built-in Coverage