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Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides
Passed 20 of 22 test cases with the skill, and 11 of 22 without it.
and 7 more in the full report
10 fixed10 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Women's swimwear returns on Amazon US are sitting at 28%. We need help evaluating size precision, fit guidance diagrams, and packaging inserts. What baseline details do you need from us?
| Checked | Without skill | With skill |
|---|---|---|
| Asks a single follow-up message containing multiple-choice options to complete the intake. | Missed | Passed |
The instructions your model reads when the skill loads.
Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides
Supported platforms: Amazon (US, UK, DE, CA, JP, AU, and all marketplaces).
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
npx skills add nexscope/amazon-return-reduction
Help me with amazon return reduction for my e-commerce business.
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
test cases passed, vs 11 / 22 without
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