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Amazon Return Reduction

nexscope-ai/amazon-skills

This handles Amazon return rate analysis by walking you through root cause identification, listing accuracy checks, packaging recommendations, and size guide improvements. It works across all Amazon marketplaces and follows a structured approach: collects your product info, asks follow-up questions in multiple choice format, then delivers prioritized action items with specific data points and benchmarks. Built by Nexscope for ecommerce sellers dealing with high return rates. The output is practical rather than theoretical, which matters when you're bleeding money on returns and need to know exactly what to fix first.

skills.sh installs
1.2K
GitHub stars
855
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-return-reduction --agent claude-code

Installs into .claude/skills of the current project.

Files

Amazon Return Reduction

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.

Install

npx skills add nexscope/amazon-return-reduction

Usage

Help me with amazon return reduction for my e-commerce business.

Capabilities

  • Return rate reduction
  • root cause analysis
  • listing accuracy
  • packaging improvements
  • size guides

How This Skill Works

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.

Output Format

SKILL.md on GitHub

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Details

Repository
github.com/nexscope-ai/amazon-skills
First seen
Jun 3, 2026

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