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Compute total gross per unit as front plus F&I back, with penetration. Reach for this on a deal-profitability question.
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Route everyday, well-defined work (single-file edits, test-writing, summarization, mechanical refactors, boilerplate) to a cheaper coding agent (Grok or Copilot CLI) instead of doing it in the main Claude session, escalating multi-file/architecture/debugging/security work to Claude. Opt-in via the `cheap_lane:` comfort-posture knob.
Authors, validates and packages a claude.ai Organization Skill — the intake questions, the trigger and scope exercises, then lint, pack and verify against measured platform constraints. Reach for this when someone wants to publish a Skill to their organization, or when an upload was rejected and the reason is unclear.
Drafts a reply to an inbound customer email, grounded in the account record and the published help-centre articles rather than in recall. Use when a customer emails about billing, a renewal or an outage, when a reply must cite current policy, or when a teammate asks for a first draft to edit.
| name | compute-total-gross |
| description | Compute total gross per unit as front plus F&I back, with penetration. Reach for this on a deal-profitability question. |
Front gross alone understates deal profitability (§3 #3).
Front (vehicle) gross and F&I back-end gross per the period.
(front + back) × units, then per-unit, via automotive_dealership_calc.py gross-per-unit (§3 #3).
Back-end gross relative to units retailed (PVR) (§3 #4).
A thin-front/strong-back deal vs a fat-front/no-back one (§3 #3).
A total-gross read per unit with F&I penetration and deal-quality separation.