amazon-fba-prep

bynexscope-aiBeta

FBA prep guide — labeling, packaging, shipment planning, rejection prevention.

Beta skill: functional and available to install, but still being reviewed and improved by the Nexscope team.

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-fba-prep --skill amazon-fba-prep

Documentation

---

name: amazon-fba-prep

description: "Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Avoid common rejection reasons."

metadata:

nexscope:

emoji: "📋"

category: amazon

---

Amazon FBA Prep 📋

Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Avoid common rejection reasons.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-fba-prep -g

Usage

I'm sending my first FBA shipment — 500 units of a glass water bottle. Walk me through the entire prep process so nothing gets rejected.

Capabilities

FBA prep requirements checklist by product type
FNSKU labeling guide and best practices
Packaging requirements (poly bags, bubble wrap, overboxing)
Shipment plan creation methodology
Carton packing optimization for minimum fees
Common FBA rejection reasons and how to avoid them
Prep service vs self-prep cost comparison

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

Start with a summary of findings
Include specific data points and benchmarks where available
Provide prioritized action items
Mark estimates with ⚠️ when based on incomplete data
End with concrete next steps

Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Links

GitHub