Agent skill

Sealeap Amazon Variation Ad Structure

by xjli360 in xjli360/sealeap-amazon-skills

Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory.

MITAuto-check passed

Install Sealeap Amazon Variation Ad Structure

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-variation-ad-structure -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-variation-ad-structure --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/qilin/sealeap-amazon-variation-ad-structure .claude/skills/sealeap-amazon-variation-ad-structure && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sealeap-amazon-variation-ad-structure
GitHub stars
251
Token cost
~528 tokens
SKILL.md length
86 words
Files
4 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory.

  • Works in 6 steps: 验证变体合法性 → 选择主推候选 → 按属性分词 → …
  • The user asks how to advertise many variants
  • SKILL.md covers 目标, 适用任务, 开始前要拿到 and 不可妥协的边界, plus 4 more sections
  • Runs Python scripts from its folder

What it does

Sealeap Amazon Variation Ad Structure is an agent skill from xjli360/sealeap-amazon-skills. Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory. Use when the user asks how to advertise many variants, prevent child ASINs from competing, choose a hero variation, or split keywords by color, size, pack count, or style. Never create invalid variations or execute without approval.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `scripts/mcp_research.py`).

It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.

When your agent uses it

  • The user asks how to advertise many variants
  • Prevent child ASINs from competing
  • Choose a hero variation
  • Split keywords by color

Example prompts

  • “/sealeap-amazon-variation-ad-structure”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 验证变体合法性
  2. 选择主推候选
  3. 按属性分词
  4. 隔离广告职责
  5. 迁移与去重
  6. 监控组合结果

What it can do on your machine

Read from SKILL.md and the folder at commit 497d4b8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sealeap Amazon Variation Ad Structure loads about 528 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 86 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~528
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 86 words, ~528 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-amazon-variation-ad-structure/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
sealeap-amazon-variation-ad-structure
description
Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory. Use when the user asks how to advertise many variants, prevent child ASINs from competing, choose a hero variation, or split keywords by color, size, pack count, or style. Never create invalid variations or execute without approval.

Amazon 多变体广告架构

目标

在合法变体关系内,让每个子体承担与自身属性匹配的流量,并用主推子体集中验证通用需求。

适用任务

  • 颜色、尺寸、数量或风格变体过多导致预算分散。
  • 需要确定主推子体和非主推子体的投放强度。
  • 不同变体在同一关键词下互相抢量。

开始前要拿到

  • 父子关系、变体主题、各子 ASIN 属性、价格、库存和利润。
  • 子体级广告表现、业务报告和搜索词。
  • 关键词词根分类及与各变体的事实匹配。

缺失的数据要明确列为缺口,并把结论标成事实、估算或假设;不要补造数字。

不可妥协的边界

  • 仅使用 Amazon 当前允许且商品真实共享的变体主题;不得为共享评论或排名强行合并。
  • 主推款不能只按一次广告结果决定,要同时看库存、利润、评分和长期需求。
  • 预算集中不是固定比例,必须按数据和缺货风险动态计算。
  • 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架;规则可能变化时先核验。
  • 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退,核对用户已有授权是否覆盖对象、动作与预算;范围已明确授权时继续执行并回读核验,只有未覆盖或扩大的范围才请求批准。
  • 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索;当前业务证据的官方来源、采集时间和口径仍需保留。

第三方 MCP 数据

只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时,才读取 references/mcp-data-plan.md,并使用 scripts/mcp_research.py。

  • 先动态执行 tools/list、search-tools 和 describe,依据实时 inputSchema 构造参数,不照搬历史工具名。
  • 凭证只从环境变量读取,不放进命令参数、URL、Skill、结果文件或 Git。
  • tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、预计成本与输出位置,核对已有授权覆盖后才加 --allow-cost;该标志不是费用上限。
  • 第三方数据标为估算或代理证据,记录 Provider、工具、无密钥参数、查询时间和原始结果位置;失败一次后记录缺口,不反复消耗额度。
  • 脱敏结果用 --output 写到 Skill 包之外的任务私有目录;不假设安装位置受仓库 .gitignore 保护,不把运行结果写入 Skill 包。

工作流

1. 验证变体合法性

确认每个子体仅在允许属性上变化,标题、图片和属性与实物一致。

2. 选择主推候选

综合历史转化、需求、利润、库存和评价,先列一个或多个候选,再用隔离实验确定主推。

3. 按属性分词

把颜色、尺寸、数量、场景等专属查询分配给对应子体;通用词和核心卖点词由主推候选承担。

4. 隔离广告职责

主推子体负责通用发现和核心词,其他子体以属性相关广告为主;不同职责分开预算和命名。

5. 迁移与去重

稳定查询迁移到对应子体的精准层,并检查父体展示导致的交叉点击和重复投放。

6. 监控组合结果

同时看子体利润、父体总销量、变体切换、库存与自然溢出;主推缺货前提前降载或切换。

判断标准

  • 每个关键词能解释为何属于该子体。
  • 子体级数据与父体总盘不混淆。
  • 主推策略包含缺货和利润恶化的替代方案。

必须交付的结果

  • 主推候选评分表。
  • 变体到关键词的分配矩阵。
  • 子体广告架构与预算职责。
  • 去重、迁移和库存切换规则。

结尾列出数据窗口、关键假设、证据缺口、风险和下一步;如包含待执行动作,单独放在“待批准变更”中。

© xjli360, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in amazon-skills/douyin/qilin/sealeap-amazon-variation-ad-structure of xjli360/sealeap-amazon-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/mcp-data-plan.md
  • scripts/mcp_research.py

Open the folder on GitHubat commit 497d4b8

Compare with similar skills

Sealeap Amazon Variation Ad Structure next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
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Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.5k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Sealeap Amazon Variation Ad Structure

What does Sealeap Amazon Variation Ad Structure do?

Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory. Sealeap Amazon Variation Ad Structure is an agent skill from xjli360/sealeap-amazon-skills. Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attributes, isolating budgets, and monitoring halo effects and inventory.

When should I use Sealeap Amazon Variation Ad Structure?

Sealeap Amazon Variation Ad Structure fits situations like: the user asks how to advertise many variants; prevent child ASINs from competing; choose a hero variation; split keywords by color.

How do I install Sealeap Amazon Variation Ad Structure in Claude Code?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-variation-ad-structure -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-variation-ad-structure in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-variation-ad-structure in your project. Claude Code loads it when a task matches its description.

How do I install Sealeap Amazon Variation Ad Structure in Codex?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-variation-ad-structure -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-variation-ad-structure in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-variation-ad-structure in your project. Codex loads it when a task matches its description.

Can I use Sealeap Amazon Variation Ad Structure in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-variation-ad-structure -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-amazon-variation-ad-structure, .gemini/skills/sealeap-amazon-variation-ad-structure, .github/skills/sealeap-amazon-variation-ad-structure and .opencode/skills/sealeap-amazon-variation-ad-structure in your project.

What does Sealeap Amazon Variation Ad Structure need to run?

Going by SKILL.md and its folder, Sealeap Amazon Variation Ad Structure needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Amazon Variation Ad Structure access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sealeap Amazon Variation Ad Structure safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sealeap Amazon Variation Ad Structure use?

Sealeap Amazon Variation Ad Structure is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sealeap Amazon Variation Ad Structure use?

About 528 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Amazon Variation Ad Structure?

Skills that share tags, products or a category with Sealeap Amazon Variation Ad Structure: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Amazon Variation Ad Structure?

xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.

Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.