I kept running into the same problem: Claude writes Amazon bullets that sound like Claude wrote them. “Premium quality.” “Innovative design.” “Elevating your experience.” You’ve seen it. The problem isn’t Claude specifically — it’s that LLMs default to the statistical average of “professional product copy,” which turns out to be wall-to-wall marketing slop. Detailed prompts helped but didn’t hold. Two sessions later the slop was back. The fix I landed on was building a proper skill file — a structured knowledge base Claude loads before responding. The core of it is a humanizer layer based on Wikipedia’s “Signs of AI Writing” guide (WikiProject AI Cleanup has documented this obsessively). I translated all 24 patterns into Amazon-copy-specific rules with before/after examples. A few patterns that turned out to be particularly common in listing copy: The “-ing clause that adds no fact” — “ensuring superior performance reflecting our commitment to excellence” tacked onto the end of a bullet. It’s padding. It eats character limit. Cut it or replace it with the actual spec. AI vocabulary clustering — when “additionally,” “showcase,” “intricate,” and “vibrant” all appear in one bullet, it reads as assembled. Two or more of these words in the same sentence is a reliable red flag. Copula avoidance — “serves as the ideal tool” instead of “is the right tool.” LLMs do this systematically. Replacing these constructions with is/are/has makes copy read noticeably more direct. Generic positive conclusions eating character count — “The perfect addition to any kitchen” where a dimension or warranty would actually help the buyer decide. There’s also a tricky exception in the skill: for supplements and health products, some hedging language (“may help support,” “supports healthy…”) is legally required by FDA guidelines. The humanizer is supposed to strip excessive hedging — but not that. So there’s a carve-out explaining which qualified language must stay verbatim. Beyond the humanizer, the skill covers the actual Amazon operations stuff: flat file bulk upload formatting, the Helium 10 keyword research workflow (Cerebro → Magnet → Frankenstein → Scribbles), category compliance rules, and keyword tiering. Free on GitHub, MIT licensed. https://github.com/anuraagraavi/Claude-Skill---Amazon-Product-Manager---Bulk-Upload-Optimize The humanizer reference file is probably the most standalone-useful thing in it — it’s the full 24 patterns with Amazon-specific before/afters. If you use Claude for any kind of product copy the pattern list translates beyond Amazon pretty directly. submitted by /u/fakereal-realfake
Originally posted by u/fakereal-realfake on r/ClaudeCode