Second-Hand Pricing Advisor

Problem

Pricing used items usually comes down to concrete judgments: what the original price was, how long it has been used, what condition it is in, how much functional wear matters, and how low a price is needed for a quick sale. This skill turns that informal guesswork into a repeatable estimation flow instead of returning a single number. It fits common resale cases such as iPhone models, vacuums, game cards, and furniture.

How It Works

It follows item details → depreciation estimate → price range → selling strategy:
- Collect inputs: brand and model, original price, purchase date, usage frequency, appearance, and functional status.
- Apply category models: electronics, furniture, apparel, and other items are treated differently, accounting for battery wear, defects, flaws, and condition.
- Output ranges: distinguish quick-sale price from patient-sale price, and explain negotiation room and listing highlights.
- State limits: the estimate is advisory, does not query live market data, and does not handle appraisal, brokerage, recycling, or bulk disposal.

This is useful for pricing everyday used goods, not for collectibles, antiques, limited-edition sneakers, or rare artworks. If the original price is unknown, the skill can estimate a historical market price from brand and model, then adjust for condition.