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Sealeap Amazon Home Lifestyle Category Growth

Community
xjli360
sealeap-amazon-home-lifestyle-category-growth

Research and plan Amazon home-and-lifestyle category growth across home, home improvement, kitchen, furniture, automotive, lawn and garden, sports, toys, and pets in North America, Europe, and Japan, with demand, fitment/safety, sustainability, logistics, and lifecycle-ad gates. Use for 生活百货选品, 家居/厨房/家具/汽配/花园/运动/玩具/宠物, OHL category, A+ Gen AI, Creator Connections, Climate Pledge Friendly, Amazon Custom, Part Finder/ACES, AWD/SFP, 大件物流, or converting the authorized 2025 guide into an evidence-backed plan. All product lists, programs, policies, and figures are snapshots requiring current validation.

Overview

Publisherxjli360
Repositorysealeap-amazon-skills
Skill namesealeap-amazon-home-lifestyle-category-growth
Stars
308
Forks
44
Bundled files
6
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.

  • 6 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 Home Lifestyle 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-home-lifestyle-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-home-lifestyle-category-growth .claude/skills/sealeap-amazon-home-lifestyle-category-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Amazon Home Lifestyle 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 Home Lifestyle 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 Home Lifestyle 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 生活百货品类增长

目标

把横跨九大生活百货赛道的趋势与候选压缩成逐产品决策:先确定真实使用场景和站点需求,再通过安全/适配/合规、体积物流、利润、售后和库存门槛,最后才选择品牌工具、促销和广告。

先读 references/source-and-guardrails.md 和 references/source-map.md。选品读 references/opportunity-map.md,工具/物流读 references/programs-and-logistics.md,广告读 references/lifecycle-advertising.md。

工作流

1. 固定细分类目与站点

记录 marketplace、product type、九大赛道之一、目标人群/空间/车辆/宠物、尺寸重量、供电/儿童/食品接触/材料/户外等风险、季节和价带。不要按“大类”套一个模型。

2. 建立当前机会证据

手册中的绿色环保、智能升级、情绪价值及各站趋势/推荐只进 SOURCE_CANDIDATE。用当前目标站点查询、点击/销量代理、评论、竞争、价格、退货和新品速度重验。

3. 类目硬闸门

  • 家居/家具:尺寸、承重、材料、组装、空间与大件配送;
  • 家装:电气/水路/施工与当地规范;
  • 厨房:食品接触、温度、涂层、清洁和安全;
  • 汽配:车型/年款/配置 fitment 与安装;
  • 花园/运动:户外、电池、机械与人身安全;
  • 玩具:年龄分级、儿童安全、小部件与测试;
  • 宠物:物种/体型、摄入/夹伤/逃逸和卫生风险。

证据不足直接 HOLD。

4. 计算物流与经济性

包含体积重、头程、仓储、FBA/AWD/SFP 或其它当前可用方式、组装/破损、退货、备件、维修、季节库存和多变体。课程服务案例不替代当前费用/资格。

5. 选择当前可用增长工具

按业务问题核验 A+ Gen AI、Creator Connections、Climate Pledge Friendly、Amazon Custom、Part Finder/ACES 等资格。工具只解决具体问题,不用资格徽章替代产品证明。

6. 按生命周期做广告

家居、汽配和家具在课程中呈现不同节奏;实际阶段由当前 ASIN 数据决定。每阶段选一个主目标,建立搜索、商品投放、创意与利润护栏。

7. 单变量验证

只测一个产品/本地场景、fitment 说明、内容模块、物流方案、关键词/ASIN 或广告结构变量。所有外部写入逐对象审批。

必须交付

  • 细分类目、站点、场景和风险作用域;
  • 当前需求与源候选对照;
  • 安全/fitment/合规、物流、利润与售后闸门;
  • 可用项目与不适用项目;
  • 生命周期广告和一个实验;
  • GO / HOLD / REJECT。

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 Home Lifestyle Category Growth AI skill do?

Research and plan Amazon home-and-lifestyle category growth across home, home improvement, kitchen, furniture, automotive, lawn and garden, sports, toys, and pets in North America, Europe, and Japan, with demand, fitment/safety, sustainability, logistics, and lifecycle-ad gates. Use for 生活百货选品, 家居/厨房/家具/汽配/花园/运动/玩具/宠物, OHL category, A+ Gen AI, Creator Connections, Climate Pledge Friendly, Amazon Custom, Part Finder/ACES, AWD/SFP, 大件物流, or converting the authorized 2025 guide into an evidence-backed plan. All product lists, programs, policies, and figures are snapshots requiring current vali...

Why use Sealeap Amazon Home Lifestyle Category Growth on TypingMind?

Because you install it once and use it with any model. Sealeap Amazon Home Lifestyle 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 Home Lifestyle 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-home-lifestyle-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 Home Lifestyle 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 Home Lifestyle Category Growth?

As many as you like. As long as a model supports skills, you can use Sealeap Amazon Home Lifestyle 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 Home Lifestyle 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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