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Sealeap Amazon Ad Architecture

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xjli360
sealeap-amazon-ad-architecture

Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval.

Overview

Publisherxjli360
Repositorysealeap-amazon-skills
Skill namesealeap-amazon-ad-architecture
Stars
308
Forks
44
Bundled files
8
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.

  • 8 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 Ad Architecture 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-ad-architecture
  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-ad-architecture .claude/skills/sealeap-amazon-ad-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Amazon Ad Architecture 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 Ad Architecture 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 Ad Architecture 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.

SeaLeap 亚马逊广告架构

围绕阶段销量和退货后利润构建广告组合,而不是按广告类型堆 Campaign。先算经营上限,再选择关键词和各广告活动的职责,最后用周复盘和单变量实验调整。

强制边界

  • 把源 PPTX 中的日期、客单价、利润率、退货/仓储占比、搜索量区间、SPR/CPR、PPC、预算比例、订单和 ACOS 标记为 TRAINING_CASE,不得直接套入当前 ASIN。
  • 不承诺“投广告即可把关键词推上首页”。自然排名受相关性、转化、销量、竞争和平台机制共同影响,只能把排名变化设为伴随指标。
  • 使用当前账户的广告报告、业务报告、库存、退货、价格、费用和 Listing 证据;数据不足时输出 HOLD / NEEDS_DATA,不编数。
  • 对不明确的缩写(如材料中的 SPM、SPA、KT、LW、MD、BP/BPE、CT)先建立数据字典,不猜测后执行。
  • 广告可用性、归因、竞价策略、placement 和政策以当前站点/控制台为准。
  • profile/store/ASIN/SKU 是业务对象,不是授权。生产写入必须绑定服务端已验证 scope,并逐项人工确认。
  • 一张实验卡只改一个主变量;不要同时改 Listing、价格、Coupon、预算、竞价、匹配方式和创意后声称因果。

阅读 references/source-and-guardrails.md 获取 PPTX 页码映射、案例口径与限制。

工作流

1. 固定对象和目标

记录 marketplace、profile、ASIN/SKU/父子体、品类、生命周期/季节、价格、销量目标、利润目标、旺季截止、库存、补货周期和负责人。

将目标按阶段拆开,每阶段只保留:日期、目标单位数、最低利润/最大可接受亏损、关键词/人群任务和停止条件。不要只写“提高销量”。

2. 倒推经济上限

用真实费用计算净收入、退货后贡献利润、盈亏平衡 ACOS/CPA 和最大广告花费。广告预算不得超过经营上限、库存上限或季节剩余机会中的最小值。

使用 references/economics-and-stages.md 的公式和三阶段模板。源材料的 $50 季节品案例只用于演示算法。

3. 建关键词/商品机会表

从搜索词、Search Query Performance/Brand Analytics、广告报告和当前可用的第三方研究取得证据。逐个验证相关性、意图、搜索量、CPC、CVR、竞争、自然/广告位置和利润容量。

按核心/中等/长尾/场景/竞品意图分层,不用固定 10 万/1 万搜索量阈值。使用 references/keyword-plan.md。

4. 为每个阶段分配广告职责

按任务选择广告类型:

  • SP 自动用于发现,SP 手动用于验证关键词/商品定向;
  • SB/SBV 用于品牌入口、视频卖点和额外搜索承接;
  • SD 用于当前可用的商品/受众再营销或扩展;
  • 只有具备资格、素材、落地页和可归因目标时才分配预算。

用 references/campaign-portfolio.md 设计 Campaign/Ad Group、匹配与预算,不复制案例百分比。

5. 处理红海/高竞争场景

当核心大词的 SP 成本超过利润容量时,不用更高出价掩盖问题。先验证 Listing/价格/评论/库存,再比较 SB/SBV、商品定向、长尾和 SD 是否带来可盈利增量。

阅读 references/red-ocean-playbook.md;材料中“SB 带来 210 单、占广告订单 40%”只属于一个 2023 年讲师案例。

6. 形成可审批架构

输出阶段目标、经济模型、关键词任务、Campaign map、预算、样本门槛、单变量动作卡与回退值。使用 references/output-contract.md。

7. 周复盘与降档

  • 同时看广告销售、自然销售、总销售、TACOS、退货后利润、库存和关键词位置;不要只看 ACOS。
  • 标记价格、优惠、评论、断货、竞品、季节和归因延迟等干扰项。
  • 依据预设样本/日期判断 KEEP、ITERATE、ROLLBACK 或 STOP。
  • 旺季剩余时间短于学习/补货/回收窗口时停止扩量并执行降档。

必须交付

  • 对象、授权、数据窗口、数据覆盖和口径;
  • 分阶段销量、利润、库存和季节截止;
  • 最大广告花费、盈亏平衡 ACOS/CPA 与计算假设;
  • 关键词/商品定向优先级及每个词的阶段任务;
  • SP/SB/SBV/SD 的职责、Campaign map、预算和资格;
  • ACCOUNT_FACT、CURRENT_POLICY、TRAINING_CASE、HYPOTHESIS 分离;
  • 单变量实验、逐项审批、停止条件、回退值和未解决风险。

信息不足时交付取数清单与 HOLD,不要为了填满架构而制造 Campaign。

2026-10-16 专项更新

处理智能诊断与自动优化状态时,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 Ad Architecture AI skill do?

Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit goals into inventory, keyword priorities, campaign roles, budgets, and measurable experiments across SP, SB, SBV, SD, keyword targeting, product targeting, and seasonal launch phases. Use for 精品广告架构, 亚马逊广告架构搭建, ASIN 推广计划, 季节性新品预算, 销量利润倒推, 关键词分层/竞争度/SPR/CPR, SP SB SBV SD 组合, 红海类目投放, 广告预算分配, 关键词首页计划, 周复盘, 或根据《如何搭建一个精品的广告架构》形成可审批方案. Default to analysis and draft; do not change live campaigns or claim organic-rank causality without verified account evidence and human approval.

Why use Sealeap Amazon Ad Architecture on TypingMind?

Because you install it once and use it with any model. Sealeap Amazon Ad Architecture 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 Ad Architecture 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-ad-architecture. 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 Ad Architecture?

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 Ad Architecture?

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

Is the Sealeap Amazon Ad Architecture 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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