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Amazon Product Bundling

nexscope-ai/amazon-skills

This helps you figure out bundling strategies for Amazon products across their major marketplaces. It walks through virtual bundles, multi-pack pricing, cross-sell opportunities, and how to optimize your bundle listings. The workflow is straightforward: it extracts what you're selling from your message, asks one follow-up with multiple choice options, then delivers specific recommendations with data points and prioritized actions. Built by Nexscope for ecommerce sellers who want structured advice instead of generic tips. Useful if you're trying to increase average order value or move complementary inventory together, though the actual research frameworks aren't detailed in the docs.

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

Install

$ npx -y skills add nexscope-ai/amazon-skills --skill amazon-product-bundling --agent claude-code

Installs into .claude/skills of the current project.

Files

Amazon Product Bundling

Product bundling strategy — virtual bundles, multi-pack pricing, cross-sell bundles, bundle listing optimization

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-product-bundling

Usage

Help me with amazon product bundling for my e-commerce business.

Capabilities

Product bundling strategy
virtual bundles
multi-pack pricing
cross-sell bundles
bundle listing optimization

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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