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
CODEBLOCK0
Usage
CODEBLOCK1
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.
Amazon FBA 准备 📋
完整的FBA准备指南。产品标签、包装要求、货件规划以及遵守亚马逊配送中心的要求。避免常见的拒收原因。
支持的平台: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由 Nexscope 构建 — 您的智能电商决策AI助手。
安装
bash
npx skills add nexscope-ai/eCommerce-Skills --skill amazon-fba-prep -g
使用方式
我正在发送我的第一批FBA货件——500个玻璃水瓶。请带我完成整个准备流程,确保没有任何物品被拒收。
功能
- - 按产品类型划分的FBA准备要求清单
- FNSKU标签指南及最佳实践
- 包装要求(塑料袋、气泡膜、外箱包装)
- 货件创建方法
- 最小化费用的纸箱包装优化
- 常见FBA拒收原因及如何避免
- 准备服务与自行准备的成本对比
此技能的工作方式
步骤1: 从用户消息中收集信息——产品、平台、当前情况和目标。
步骤2: 使用多选题格式提出一个包含所有剩余问题的跟进问题。允许简写回答(例如1b 2c 3a)。
步骤3: 使用以下框架和方法进行研究和分析。
步骤4: 提供结构化、可执行的输出,包含具体建议,而非模糊的建议。
输出格式
- - 以发现摘要开头
- 尽可能包含具体数据点和基准
- 提供优先行动项目
- 基于不完整数据时用⚠️标记估算
- 以具体后续步骤结尾
其他技能
更多电商技能:nexscope-ai/eCommerce-Skills
亚马逊专属技能:nexscope-ai/Amazon-Skills
由 Nexscope 构建 — 您的智能电商决策AI助手。