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Sealeap Amazon Sp Video Ads

Community
xjli360
sealeap-amazon-sp-video-ads

Plan, review, diagnose, and safely launch Amazon Sponsored Products video-format ads (SP video/SPV), including eligibility, video briefs, policy checks, ASIN and thumbnail mapping, bid adjustments, measurement, and controlled tests. Use for 商品推广视频, SPV, Sponsored Products video, 静音商品视频, 搜索结果视频素材, 视频竞价加成, 3–5条视频测试, video CTR/CVR/ACOS, or converting the authorized SPV intro, shooting, and syndication materials into an approval-ready plan. Treat all specs and availability as source snapshots until verified in the current marketplace and console; never upload or change live ads without explicit approval.

Overview

Publisherxjli360
Repositorysealeap-amazon-skills
Skill namesealeap-amazon-sp-video-ads
Stars
308
Forks
44
Bundled files
4
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.

  • 4 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 Sp Video Ads 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-sp-video-ads
  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-sp-video-ads .claude/skills/sealeap-amazon-sp-video-ads
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Amazon Sp Video Ads 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 Sp Video Ads 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 Sp Video Ads 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 商品推广视频样式(SPV)

目标

将一个已验证的 ASIN 变成可审核、可测试、可回退的视频广告方案:先确认当前账户是否具备 SP 视频样式,再建立 3–5 个单一概念素材,逐条通过商品事实与政策审查,最后在独立的竞价实验中判断视频是否带来增量价值。

开始前读 references/source-and-guardrails.md。制作素材读 references/creative-brief-and-review.md;设置与测量读 references/activation-and-measurement.md。

不可跳过的边界

  • SPV 的站点、账户、类目、展示位置、视频数量、字段限制、文件规格和竞价范围可能变化;必须在当前控制台或官方文档复核。
  • 课程材料出现互相冲突的文案字符限制;遇到冲突一律以当前 UI 校验为准。
  • 视频中的商品、功能、兼容性、性能、认证和场景必须由当前 PDP/产品档案支持。
  • 默认只生成 brief、审核结果和草案。上传素材、调 bid/budget/placement 或启停广告均需用户明确批准。

工作流

1. 确认作用域与资格

记录 marketplace、profile、campaign、ad group、ASIN、类目、语言、日期与权限。进入当前广告控制台确认:SP 视频样式可见、该 ASIN 可选、素材规格/字段校验和报告字段存在。无法确认则输出 ELIGIBILITY_NEEDS_VERIFICATION,不声称可上线。

2. 验证商品与零售准备度

检查 Featured Offer、库存、配送、评分、价格/优惠、移动端详情页、变体和已有视频。若视频承诺与 PDP 不一致、库存不足或详情页不能承接,状态为 HOLD_RETAIL_READINESS。

3. 建立素材矩阵

先确定 3–5 个不同概念,每条视频只讲一个核心价值:痛点解决、核心功能、使用场景、上手方式、差异化或可信证明。不要把同一条片简单换封面当不同概念。

使用 references/creative-brief-and-review.md 逐条输出:目标人群、使用场景、首屏钩子、镜头表、唯一价值、商品占屏、封面/缩略图、PDP 证据、禁用元素和版本号。

4. 做政策与质量审查

逐项判定 PASS / FIX / HOLD:

  • 商品是否清晰、持续可辨、与广告 ASIN 一致;
  • 是否真实演示而非静态幻灯片或过度渲染;
  • 是否存在未经证实的文字、字幕、旁白、Logo、emoji、对比或功效声明;
  • 是否有黑边、失真、低清、危险使用、无关人物/商品;
  • 产品名称、描述和缩略图是否符合当前字段限制。

5. 设计独立测试

优先比较一个变量:视频概念、视频与非视频、缩略图或视频加价。固定 ASIN、target、日期逻辑、预算和其它 placement 调整。已有叠加系数时先算实际最大出价,避免把视频加价、位置加价和动态竞价当成彼此独立。

6. 上线前审批

审批卡必须列出 profile、campaign、ad group、ASIN、视频文件/asset ID、缩略图、文案、target、基准 bid、每个调整系数、最大可能出价、预算、停止线和回退值。

7. 观察与复盘

等待当前归因窗口成熟。至少同时看曝光、点击、CTR、CPC、花费、订单、销售、CVR、ACOS/ROAS,以及当前报告支持的视频观看指标。比较绝对值、比例和样本量,不只报 uplift。

必须交付

  • 当前资格与规格复核结果;
  • 商品事实表和零售准备度;
  • 3–5 条单概念 brief 与逐条审核;
  • 实际竞价堆叠计算、预算上限和单变量实验;
  • 审批对象、停止线、回退和最终状态。

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 Sp Video Ads AI skill do?

Plan, review, diagnose, and safely launch Amazon Sponsored Products video-format ads (SP video/SPV), including eligibility, video briefs, policy checks, ASIN and thumbnail mapping, bid adjustments, measurement, and controlled tests. Use for 商品推广视频, SPV, Sponsored Products video, 静音商品视频, 搜索结果视频素材, 视频竞价加成, 3–5条视频测试, video CTR/CVR/ACOS, or converting the authorized SPV intro, shooting, and syndication materials into an approval-ready plan. Treat all specs and availability as source snapshots until verified in the current marketplace and console; never upload or change live ads without explicit...

Why use Sealeap Amazon Sp Video Ads on TypingMind?

Because you install it once and use it with any model. Sealeap Amazon Sp Video Ads 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 Sp Video Ads 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-sp-video-ads. 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 Sp Video Ads?

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 Sp Video Ads?

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

Is the Sealeap Amazon Sp Video Ads 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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