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mechanicals-applianceslisted

Turn data-plate photos of the furnace/boiler, water heater, heat pump/AC, roof, and appliances into decoded ages, expected remaining life, and condition notes. Use when the user shares data-plate photos, serial numbers, or asks "how old is this furnace/water heater".
bedardandy/AI-appraisal-assist · ★ 0 · AI & Automation · score 65
Install: claude install-skill bedardandy/AI-appraisal-assist
# Mechanicals & Appliances Decode manufacture dates from model/serial plates, estimate remaining economic life, and feed the effective-age and condition analysis. ## Steps 1. Collect inputs: data-plate photos in `photos/mech-*`, plus any serials dictated on-site. 2. For each component, extract **brand, model, serial**, then decode the manufacture date using `references/serial-number-decoding.md` (brand-by-brand rules: Rheem/Ruud MMYY, Carrier/Bryant week-year, Trane year-letter, A.O. Smith/State/Bradford White letter codes, etc.). - Show your decode work (which characters → which date) so the appraiser can sanity-check. - If the brand's scheme is ambiguous or the plate is unreadable: `VERIFY:` with a suggested tiebreaker (ANSI cert date on plate, installer sticker, permit date, owner interview). 3. **Cross-check** decoded age against context: install stickers, tax card "year built", dictated owner statements, visible wear. Contradictions → `discrepancies.md`. 4. Build the component inventory in `mechanicals.md`: | Component | Brand/Model | Serial | Mfg date | Age | Typical life | Est. remaining | Condition notes | Photo | |---|---|---|---|---|---|---|---|---| Typical-life baselines are in the reference file (furnace 15–25, boiler 20–35, water heater 8–12 tank, heat pump 12–15, asphalt roof 15–30 by grade, etc.) — adjust for observed condition and note climate context from the state module (e.g., Maine heating systems run hard; check