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Sealeap Apollo Ad Planning

Community
xjli360
sealeap-apollo-ad-planning

围绕自有 Amazon ASIN 制定关键词分层、活动结构、竞价预算、阶段计划和止损方案。用于推新、广告重建、投放规划或广告执行表;产出可评审草稿。

Overview

Publisherxjli360
Repositorysealeap-amazon-skills
Skill namesealeap-apollo-ad-planning
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 Apollo Ad Planning 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/app/apollo/sealeap-apollo-ad-planning
  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/app/apollo/sealeap-apollo-ad-planning .claude/skills/sealeap-apollo-ad-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Apollo Ad Planning 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 Apollo Ad Planning 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 Apollo Ad Planning 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 广告推进方案

围绕自有 Amazon ASIN 制定关键词分层、活动结构、竞价预算、阶段计划和止损方案。用于推新、广告重建、投放规划或广告执行表;产出可评审草稿。

执行流程

  1. 锁定站点、账户归属、ASIN、经营目标与周期;ASIN 本身不证明是自有商品。
  2. 读取商品事实、库存与真实广告基线,再补关键词、竞争、历史价格和评论证据。
  3. 区分冷启动、测试、增长、稳定和重建阶段,以数据说明阶段判断。
  4. 按相关性和购买意图分关键词,结合产品承接与贡献测算给出竞价和预算情景。
  5. 输出活动结构、阶段动作、否定候选、观测窗口和回退条件;检查广告归因成熟度后再建议动作。

数据口径

  • 固定 Amazon 站点、ASIN/类目/关键词、窗口、时区、币种、单位、分页与排序。英国站的 UK/GB 和各提供方站点编码在接口边界映射,原始代码保留。
  • 原始记录和可见页面事实为 FACT,第三方销量、搜索量和流量推算为 ESTIMATE,分析参数为 ASSUMPTION,未获得信息为 UNKNOWN。标签按字段填写。
  • 每条记录保留 source、collected_at、data_period、marketplace、evidence_id、raw_field 和 limitations。不要把采集时间当成数据统计期。
  • 空值为 null,展示为“—”。零必须来自明确返回;请求失败、权限不足、无匹配和截断分别记录。评分或排名不是销量。
  • 沿用用户授权的数据范围和费用上限;请求数量、站点或付费范围发生实质变化时再补足授权。密钥仅由现有连接器读取,不放进对话、命令示例、报告或版本库。

交付与验证

按 执行手册 组织字段、分析和验收;按 工具路由 取得数据。报告中的每个重要判断需关联证据,缺口影响决策时保留 HOLD。

许可与材料范围见 LICENSE 和 NOTICE。

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 Apollo Ad Planning AI skill do?

围绕自有 Amazon ASIN 制定关键词分层、活动结构、竞价预算、阶段计划和止损方案。用于推新、广告重建、投放规划或广告执行表;产出可评审草稿。

Why use Sealeap Apollo Ad Planning on TypingMind?

Because you install it once and use it with any model. Sealeap Apollo Ad Planning 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 Apollo Ad Planning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/app/apollo/sealeap-apollo-ad-planning. 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 Apollo Ad Planning?

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 Apollo Ad Planning?

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

Is the Sealeap Apollo Ad Planning 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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