Agent skill

Sealeap Amazon New Product Organic Traffic

by xjli360 in xjli360/sealeap-amazon-skills

Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality.

MITAuto-check passed

Install Sealeap Amazon New Product Organic Traffic

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-new-product-organic-traffic -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-new-product-organic-traffic --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-new-product-organic-traffic .claude/skills/sealeap-amazon-new-product-organic-traffic && 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-new-product-organic-traffic
GitHub stars
251
Token cost
~565 tokens
SKILL.md length
84 words
Files
4 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality.

  • Works in 6 steps: 做上线门槛检查 → 建立探索层 → 建立词根层 → …
  • The user asks how a new ASIN can gain organic traffic
  • 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 New Product Organic Traffic is an agent skill from xjli360/sealeap-amazon-skills. Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality. Use when the user asks how a new ASIN can gain organic traffic, how to sequence auto, product targeting, broad, and exact campaigns, or when to taper launch ads. Default to read-only planning and require approval for live changes.

Its SKILL.md is about 570 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 a new ASIN can gain organic traffic
  • How to sequence auto
  • Product targeting
  • Exact campaigns

Example prompts

  • “/sealeap-amazon-new-product-organic-traffic”

Requirements

  • Python 3

Workflow steps

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

  1. 做上线门槛检查
  2. 建立探索层
  3. 建立词根层
  4. 迁移稳定词
  5. 跟踪自然侧
  6. 设定毕业条件

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 New Product Organic Traffic loads about 565 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 84 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~565
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). 84 words, ~565 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-amazon-new-product-organic-traffic/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
sealeap-amazon-new-product-organic-traffic
description
Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality. Use when the user asks how a new ASIN can gain organic traffic, how to sequence auto, product targeting, broad, and exact campaigns, or when to taper launch ads. Default to read-only planning and require approval for live changes.

Amazon 新品自然流量培育

目标

先用可控广告找出稳定转化词,再逐步集中预算并观察自然曝光与订单的变化,形成可持续而非靠单次冲量的新品基本盘。

适用任务

  • 新品从零开始设计探索、收割和放量阶段。
  • 判断某个词是否值得从自动或广泛迁移到精准。
  • 制定广告减量而不破坏销量基本盘的毕业条件。

开始前要拿到

  • ASIN 上线时间、库存覆盖、价格、优惠、内容完整度和合规评论状态。
  • 搜索词、投放、广告位、业务报告及可获得的自然排名快照。
  • 每单贡献毛利、目标订单、可承受测试预算和补货周期。

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

  • 自然排名受多因素影响;只能报告相关变化,不能承诺广告必然推升排名。
  • 不得使用虚假订单、返现、搜索后购买、评论操纵或不合规变体来制造信号。
  • 新品转化基础不合格或库存不足时,不用加预算掩盖商品问题。
  • 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. 做上线门槛检查

确认商品可售、库存、价格、主图与详情、属性、合规资质和售后准备;先修复会直接压低转化的缺口。

2. 建立探索层

用紧密相关的自动流量和少量高相似商品目标探索搜索词与商品页面机会,限制预算并排除明确不相关流量。

3. 建立词根层

把已验证的搜索词按意图或属性词根归组,以较宽匹配继续发现同类长尾词,同时维护前置否定词。

4. 迁移稳定词

达到样本和利润门槛的词转入精准广告,单独管理预算与竞价;迁移前后记录重叠流量,避免内部抢量。

5. 跟踪自然侧

固定时间采集自然位置、自然会话和自然订单占比,与广告订单、价格和促销一起观察,避免单因果解释。

6. 设定毕业条件

当核心词转化稳定、自然侧连续多个周期不恶化且总利润成立时,小步降低探索预算;一旦销量或位置越过护栏则停止缩量并复盘。

判断标准

  • 用查询级转化率、CPA、自然订单占比和库存风险联合判断,不只看 ACoS。
  • 迁移词必须说明来源报告、样本量、相关性和预算需求。
  • 每个阶段都有进入条件、退出条件和止损条件。

必须交付的结果

  • 新品流量阶段图。
  • 探索词、迁移词和否定词清单。
  • 自然侧观测表与因果限制说明。
  • 广告减量或继续投入的建议及待批准动作。

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-new-product-organic-traffic 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 New Product Organic Traffic 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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Questions about Sealeap Amazon New Product Organic Traffic

What does Sealeap Amazon New Product Organic Traffic do?

Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality. Sealeap Amazon New Product Organic Traffic is an agent skill from xjli360/sealeap-amazon-skills. Build an evidence-based Amazon new-product traffic plan that moves from controlled discovery to stable converting terms and measures organic-rank and organic-order changes without claiming causality.

When should I use Sealeap Amazon New Product Organic Traffic?

Sealeap Amazon New Product Organic Traffic fits situations like: the user asks how a new ASIN can gain organic traffic; how to sequence auto; product targeting; exact campaigns.

How do I install Sealeap Amazon New Product Organic Traffic in Claude Code?

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

How do I install Sealeap Amazon New Product Organic Traffic in Codex?

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

Can I use Sealeap Amazon New Product Organic Traffic 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-new-product-organic-traffic -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-new-product-organic-traffic, .gemini/skills/sealeap-amazon-new-product-organic-traffic, .github/skills/sealeap-amazon-new-product-organic-traffic and .opencode/skills/sealeap-amazon-new-product-organic-traffic in your project.

What does Sealeap Amazon New Product Organic Traffic need to run?

Going by SKILL.md and its folder, Sealeap Amazon New Product Organic Traffic needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Amazon New Product Organic Traffic 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 New Product Organic Traffic 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 New Product Organic Traffic use?

Sealeap Amazon New Product Organic Traffic 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 New Product Organic Traffic use?

About 565 tokens (SKILL.md is roughly 2.3k 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 New Product Organic Traffic?

Skills that share tags, products or a category with Sealeap Amazon New Product Organic Traffic: 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 New Product Organic Traffic?

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.