Skill market 12 skills

When a cross-border seller receives an Amazon performance notification, work out which of the 12 violation types applies, count which of the 9 required document groups you are missing, generate a bilingual three-part POA, and pre-run the 11 submission gates against the reasons a rejection letter would cite before you submit.

Tear the competitor listing you pasted in (title + bullets + per-image notes + price + rating / review count + image count) into a title formula, bullet structure, image narrative, price band and review velocity, then tier your own keyword list and compute competitor coverage

When an ASIN goes to the dog page, core keywords stop surfacing, a restricted-product review lands, or the age field does not match, run four skills in order — triage → scan the copy → check the fields → fix the title → write the case — and get a triage table, a hit table, a field checklist and English

Run your listing text and the compliance ledger you filled in yourself against the 19 GPSR / PPWR / EPR / WEEE / battery law / claims clauses one by one, and grade each one "must fix / should fix / needs a human"

Run four checks before you list — high-risk words in your copy, risk baked into the category, the documents your supplier is missing, and whether you can use the images — and get an action list sorted P1/P2/P3. If a complaint, a law firm letter, or a court filing actually arrives, it only triages the type

Turn one existing listing into three things you can use as-is: a 23-item scorecard (each item carries source evidence and a one-line fix), a tiered keyword table (core / attribute / scenario / long-tail / negative, no search volume), and a before-and-after rewrite (title trimmed to the site's

Two periods of operating data plus this period's action list go in; five things come out: metric-change attribution with hypotheses still to be validated, threshold alerts with a troubleshooting order, a one-page three-part review, three experiments with pass / fail / negative decision lines, and reusable lessons.

Map ad reports exported from Amazon Ads / Google Ads / Meta onto one shared column set, split the funnel into four stages (impressions, clicks, conversions, break-even), work out which stage leaks money, how much it leaks and what your bid ceiling is, and output a negative keyword list you can add as-is and a prioritized action table

Run one returns report through three outputs: six root-cause classes grouped by what you can actually fix (size / not as described / damage / expectation gap / logistics / other), the 8 costs behind every single return with an addition formula you can do by hand, and field-level edits telling you which part of the listing to change

Sourcing data tells you how well it sells; only reviews tell you why people buy and why they send it back.

Split Feedback / product reviews / A-to-Z claims into removable / malicious / genuine / not removable, write English removal requests and bilingual reply drafts you can submit as-is, then work out whether this one case will push ODR over the line and how many

Run a batch of product titles into two tables: a before/after review table for every title, and an import table with only the changed rows that can go straight into your admin.