Marketplace Listing Optimizer Skill

On a marketplace, the listing is the salesperson — and the algorithm reads it before a human does. Ranking comes from relevance (the right keywords in the right fields) and performance (click-through and conversion). This skill audits a listing against both and returns prioritised fixes, so "it's buried and not converting" becomes a specific to-do list.

Working from a brief

Given a product and maybe a current title, produce the full optimization anyway — infer the category, buyer, and likely keywords, and label inferences. Don't invent metrics, certifications, or claims. Never withhold the audit for missing detail; mark what to confirm.

Required Inputs

Ask for these only if they aren't already provided (else infer and label):

• The marketplace & category — Amazon, Etsy, eBay, Walmart… and the product category.
• The product & current listing — what it is, key attributes, and the current title/bullets if any.
• The buyer & search terms — who buys it and the terms they'd search (or let the skill propose them).
• Known issues — low traffic, low conversion, bad reviews, or just "make it better".

Output Format

Listing Optimization: [product] on [marketplace]

1. Diagnosis — is the gap visibility (keywords/relevance) or conversion (title/images/price/reviews)? Lead with the bigger lever.

2. Keywords — primary, secondary, and long-tail terms, grouped, and where each belongs (title vs. bullets vs. backend/tags). Note any to confirm with real search-volume data.

3. Title — an optimized title following the marketplace's pattern and length limit (Amazon: brand + key features + size/qty; Etsy: front-load buyer phrases).

4. Bullets / key features — rewritten benefit-led bullets that also carry secondary keywords.

5. Description / A+ — the longer copy (Amazon A+ modules, Etsy description) — structure + key points.