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Amazon FBA Prep

作者 nexscope-ai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install amazon-fba-prep
功能描述
Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Av...
使用说明 (SKILL.md)

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.

安全使用建议
This skill is an instruction-only FBA preparation guide and appears coherent with its description. Before installing or running anything suggested in the SKILL.md: do not share credentials or sensitive business data (seller tokens, private spreadsheets, PII) in chat; if you consider running the suggested 'npx skills add nexscope-ai/eCommerce-Skills' command, inspect the package/repository first (source, maintainers, license) because that will fetch and run external code; if you only want guidance, you can use the skill as-is without running the npx install. If you need the skill to act against marketplace accounts (Shopify, Amazon, etc.), prefer providing only non-sensitive summary data or create limited-scope API credentials, and verify the developer's trustworthiness before granting any keys.
功能分析
Type: OpenClaw Skill Name: amazon-fba-prep Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) providing instructions for an AI agent to assist with Amazon FBA preparation. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection; the instructions are strictly aligned with the stated purpose of e-commerce guidance.
能力评估
Purpose & Capability
The name, description, and SKILL.md all describe Amazon FBA preparation tasks (labeling, packaging, shipment planning, rejection reasons). The skill does not request unrelated credentials, binaries, or config paths, so required capabilities align with the stated purpose.
Instruction Scope
Runtime instructions are limited to collecting user-provided product/context info, asking a single structured follow-up, performing 'research and analysis' and returning structured recommendations. The SKILL.md does not instruct reading local files, environment variables, or transmitting data to unexpected endpoints. 'Research' implies using available web/browsing capabilities of the agent, but that is consistent with producing up-to-date guidance.
Install Mechanism
No install spec in the registry and no code files are included (lowest install risk). However, the README suggests installing via 'npx skills add nexscope-ai/eCommerce-Skills', which would fetch external code/packages — if you run that, review the package source and trustworthiness before executing.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a how-to guidance skill; there are no unexplained secret requests.
Persistence & Privilege
Flags show always:false and default model invocation allowed. Nothing requests permanent/privileged presence or modifications to other skills or system-wide agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install amazon-fba-prep
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /amazon-fba-prep 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Comprehensive Amazon FBA preparation guide for multiple e-commerce platforms. - Provides step-by-step instructions for product labeling, packaging, and shipment planning. - Includes compliance checklists to meet Amazon’s fulfillment center requirements. - Outlines common FBA rejection reasons and how to avoid them. - Covers FNSKU labeling, packaging materials, and carton packing optimization. - Supports platforms including Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, and BigCommerce.
元数据
Slug amazon-fba-prep
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 1
历史版本数 1
常见问题

Amazon FBA Prep 是什么?

Complete FBA preparation guide. Product labeling, packaging requirements, shipment planning, and compliance with Amazon's fulfillment center requirements. Av... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 544 次。

如何安装 Amazon FBA Prep?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-fba-prep」即可一键安装,无需额外配置。

Amazon FBA Prep 是免费的吗?

是的,Amazon FBA Prep 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Amazon FBA Prep 支持哪些平台?

Amazon FBA Prep 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Amazon FBA Prep?

由 nexscope-ai(@nexscope)开发并维护,当前版本 v1.0.0。

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