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Sealeap Amazon Consumer Electronics Category Growth

Community
xjli360
sealeap-amazon-consumer-electronics-category-growth

Research and plan Amazon consumer-electronics category growth across wireless, electronics, PC, camera, office products, and musical instruments in North America, Europe, and Japan, with current-demand validation, compliance, logistics, promotion, and lifecycle-ad gates. Use for 消费电子选品, CE品类攻略, wireless/PC/camera/office/musical instruments, AI设备/智能穿戴/耳机, FCC/UL/CE/EPR/EEL/METI, 带电物流, 促销日历, 电子品类生命周期广告, or converting the authorized 2025 guide into an evidence-backed plan. This is not legal advice; all 2025 claims and policies require current official verification.

Overview

Publisherxjli360
Repositorysealeap-amazon-skills
Skill namesealeap-amazon-consumer-electronics-category-growth
Stars
308
Forks
44
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xjli360 on GitHub. Read the source before you install it.

Installation

Install the Sealeap Amazon Consumer Electronics Category Growth AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-consumer-electronics-category-growth
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git /tmp/sealeap-amazon-skills
mkdir -p .claude/skills
cp -r /tmp/sealeap-amazon-skills/amazon-skills/amazon-official/sealeap-amazon-consumer-electronics-category-growth .claude/skills/sealeap-amazon-consumer-electronics-category-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Amazon Consumer Electronics Category Growth in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sealeap Amazon Consumer Electronics Category Growth on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sealeap Amazon Consumer Electronics Category Growth is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon 消费电子品类增长

目标

把手册的趋势、选品和运营方案转成“先验证、再投入”的类目决策:任何候选都必须同时通过需求、产品事实、法规/认证、兼容/安全、利润、供应链和生命周期广告闸门。

先读 references/source-and-guardrails.md 和 references/source-map.md。选品读 references/opportunity-map.md;合规与物流读 references/compliance-and-logistics.md;广告读 references/lifecycle-advertising.md。

工作流

1. 分类与作用域

固定 marketplace、product type、无线设备/电子设备/PC/摄影/办公/乐器、供电/电池/无线/射频、目标价带、用途和上市时间。类目名称不能代替 Amazon 当前 product type。

2. 建立候选而非结论

手册关于 AI、绿色、互联以及各站体量/增速品只标 SOURCE_CANDIDATE。回到当前目标站点验证搜索需求、点击/销量代理、竞争、价格、评论、退货和新品表现。

3. 技术事实闸门

建立型号、接口、协议、功率、电压、频段、电池、尺寸、兼容系统、配件、性能测试、保修和安全警告的证据表。不得从图片或竞品猜参数。

4. 合规闸门

按目标国家和具体产品判断 FCC/UL、CE、EPR/WEEE/电池、EEL/EPREL、METI/PSE/无线电等是否适用。手册只是检查起点;使用当前法规、Amazon 合规要求和合格专业意见。未完成前 HOLD_LAUNCH。

5. 供应链与售后

核验危险品/电池运输、头程、仓储、温控/防护、序列化、退货维修、备件和召回能力。当前 AWD/FBA/供应链服务是否接收该产品必须逐 SKU 确认。

6. Listing 与本地化

让规格、兼容、使用限制和包装清单可扫描;目标站点单位、术语、插头/频段/系统必须准确。高客单/专业设备增加对比选择、保修和支持证据。

7. 促销与广告

用当前活动规则、费用、库存和贡献毛利选择促销。广告按新品、成长、成熟阶段设不同目标,但课程 40/30/30 预算等只能作为历史讨论,不是默认设置。

8. 单变量验证

一次只测试一个候选产品假设、兼容信息、创意、关键词组、位置或促销长度。设置安全/退货/库存/利润护栏。

必须交付

  • product type、技术事实与站点作用域;
  • 当前需求证据与候选评分;
  • 合规适用性矩阵及证据状态;
  • 物流/售后、利润和库存闸门;
  • 生命周期广告草案与一个实验;
  • GO / HOLD / REJECT。

2026-10-16 专项更新

处理危险品问答与材料时,先读 当前专项规则与执行检查。其中的未来开放日期和待复核项不能当作当前账户已可用。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sealeap Amazon Consumer Electronics Category Growth AI skill do?

Research and plan Amazon consumer-electronics category growth across wireless, electronics, PC, camera, office products, and musical instruments in North America, Europe, and Japan, with current-demand validation, compliance, logistics, promotion, and lifecycle-ad gates. Use for 消费电子选品, CE品类攻略, wireless/PC/camera/office/musical instruments, AI设备/智能穿戴/耳机, FCC/UL/CE/EPR/EEL/METI, 带电物流, 促销日历, 电子品类生命周期广告, or converting the authorized 2025 guide into an evidence-backed plan. This is not legal advice; all 2025 claims and policies require current official verification.

Why use Sealeap Amazon Consumer Electronics Category Growth on TypingMind?

Because you install it once and use it with any model. Sealeap Amazon Consumer Electronics Category Growth is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sealeap Amazon Consumer Electronics Category Growth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-consumer-electronics-category-growth. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sealeap Amazon Consumer Electronics Category Growth?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sealeap Amazon Consumer Electronics Category Growth?

As many as you like. As long as a model supports skills, you can use Sealeap Amazon Consumer Electronics Category Growth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sealeap Amazon Consumer Electronics Category Growth AI skill free?

Yes. It is published on GitHub by xjli360 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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