Agent skill

Sealeap Fenghuang Amazon Beginner Sp Campaign Setup

by xjli360 in xjli360/sealeap-amazon-skills

Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN)…

MITAuto-check passedAI & LLM Engineering

Install Sealeap Fenghuang Amazon Beginner Sp Campaign Setup

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-beginner-sp-campaign-setup -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-fenghuang-amazon-beginner-sp-campaign-setup --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/youtube/fenghuang/sealeap-fenghuang-amazon-beginner-sp-campaign-setup .claude/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup && 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-fenghuang-amazon-beginner-sp-campaign-setup
GitHub stars
251
Token cost
~757 tokens
SKILL.md length
174 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN)…

  • Works in 4 steps: 诊断:读取现状、证据和缺口,不生成线上写入动作。 → 方案草案:输出可审核的结构、参数范围、实验和回退值。 → 执行准备:只生成待批准变更表或 API/控制台操作草案。 → …
  • 新手怎么开广告、自动广告怎么设、四个匹配组分开出价、手动广告怎么建、ASIN 定向、否词怎么加、首发周广告怎么投
  • SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Sealeap Fenghuang Amazon Beginner Sp Campaign Setup is an agent skill from xjli360/sealeap-amazon-skills. Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN) targeting, and negative keywords—plus a launch-week budget stance with inventory guardrails. Use for 新手怎么开广告、自动广告怎么设、四个匹配组分开出价、手动广告怎么建、ASIN 定向、否词怎么加、首发周广告怎么投. Do not use to mutate live campaigns without approval or to set bids without account CPC data.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).

It sits in AI & LLM Engineering, covering LLM guardrails. 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

  • 新手怎么开广告、自动广告怎么设、四个匹配组分开出价、手动广告怎么建、ASIN 定向、否词怎么加、首发周广告怎么投
  • Mutate live campaigns without approval
  • Set bids without account CPC data

Example prompts

  • “/sealeap-fenghuang-amazon-beginner-sp-campaign-setup”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 诊断:读取现状、证据和缺口,不生成线上写入动作。
  2. 方案草案:输出可审核的结构、参数范围、实验和回退值。
  3. 执行准备:只生成待批准变更表或 API/控制台操作草案。
  4. 已批准执行:仅对用户在当前会话明确批准的对象和字段执行,并立即回读核验。

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 Fenghuang Amazon Beginner Sp Campaign Setup loads about 757 tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 174 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~757
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.1k

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). 174 words, ~757 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-fenghuang-amazon-beginner-sp-campaign-setup
description
Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN) targeting, and negative keywords—plus a launch-week budget stance with inventory guardrails. Use for 新手怎么开广告、自动广告怎么设、四个匹配组分开出价、手动广告怎么建、ASIN 定向、否词怎么加、首发周广告怎么投. Do not use to mutate live campaigns without approval or to set bids without account CPC data.

Amazon 新手 SP 广告五步搭建

目标

Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN) targeting, and negative keywords—plus a launch-week budget stance with inventory guardrails.

不可妥协的边界

  • 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
  • 第三方数据一律标为估算或前台观测,不得写成 Amazon 一方事实。
  • 默认只读诊断和草案;任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
  • 一次实验只改变一个主要变量,并记录基线、样本、成功、停止和回退条件。
  • 不得复制来源材料或竞品表达;输出必须按当前任务重新组织并可由现有证据支撑。
  • 「新品期平台按短周期滚动评估排名」是来源对算法的解释,只作待验证假设;不据此追加超出承受范围的预算。
  • 来源提到的各定向组建议竞价与广告效果数字均为个案,一律以当前账户 CPC、转化率与盈亏平衡 ACOS 校准。
  • 来源中的广告软件推荐不采纳;本 Skill 仅描述工具类别。
  • 首发周牺牲利润换销量必须设停止线(预算上限、ACOS 上限、库存下限),触线即回退。

先判断任务模式

  1. 诊断:读取现状、证据和缺口,不生成线上写入动作。
  2. 方案草案:输出可审核的结构、参数范围、实验和回退值。
  3. 执行准备:只生成待批准变更表或 API/控制台操作草案。
  4. 已批准执行:仅对用户在当前会话明确批准的对象和字段执行,并立即回读核验。

用户未指定时采用“诊断”。

开始前要拿到

  • marketplace、店铺、ASIN/SKU、广告类型和目标
  • 同口径的 Campaign、Targeting、Search Term、Placement 与 Advertised Product 报告
  • 售价、优惠、COGS、Amazon 费用、退款与目标贡献利润
  • 库存、Buy Box、Listing、评论和同期市场事件

缺失项必须标为 NEEDS_EVIDENCE;不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。

工作流

先读取 references/playbook.md,确认该方法适用于当前对象。按以下顺序执行:

  1. 先确认对象:marketplace(默认 US)、广告 ASIN、Listing 是否可售且有库存、当前盈亏平衡 ACOS;缺任何一项标 NEEDS_EVIDENCE。
  2. 建自动广告时不要只填统一默认竞价:按四个定向组(紧密匹配、宽泛匹配、替代品、互补品)分别出价或拆成独立活动,紧密匹配给最高竞价,其余按账户数据校准;来源的建议竞价不作参考值。
  3. 做搜索短语研究:从自动广告搜索词报告、关键词工具类别与竞品反查里列出「买家真的会这样搜」的短语,按相关性分档;无关短语直接进否词候选。
  4. 建手动关键词活动承接已验证短语,长期利润通常来自手动活动;Sponsored Brands 需要多个 SKU 且偏品牌曝光,Sponsored Display 另议,新手先跑通 SP。
  5. 建 ASIN 商品定向活动,让广告出现在可比竞品详情页;选对象时对比价格、评论数与评分,只定向本品有明显优势的竞品。
  6. 按固定周期从搜索词报告加否定关键词:有点击无转化且与产品无关的词否掉;观察窗以当前账户样本量决定,不用固定阈值。
  7. 首发周可把目标从利润切换为「集中出单」,但必须同步确认库存可支撑:断货会打断早期数据积累;提前与供应商约定补货交期。

最后做数据充分性检查,并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足,状态写 HOLD。

第三方 MCP 数据

仅在自有数据不足且当前任务确实需要外部证据时,读取 references/mcp-data-plan.md,再使用 scripts/mcp_research.py。本 Skill 的外部取数目的:补充关键词搜索需求与可比竞品 ASIN 的第三方代理证据。

  • 先 doctor,再 search-tools 和 describe;工具名及参数以实时 tools/list 与 inputSchema 为准。
  • Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
  • tools/call 或 Actor 可能计费;先展示 Provider、工具、无密钥业务参数、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。

必须交付的结果

  • 广告活动结构表
  • 定向组竞价方案
  • 搜索短语与否词分档表
  • 竞品 ASIN 定向清单
  • 首发周预算与停止线
  • 数据范围、来源、采集时间、样本与限制。
  • 关键假设、待补证据、风险和不可确定项。
  • 若有动作:对象、旧值、新值、预期、停止条件、回退值与审批状态。

方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP;如已执行,另行记录实际结果及回读证据。未得到明确批准时,不得声称已修改线上对象。

© 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 4 other files (scripts, references) in amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-beginner-sp-campaign-setup of xjli360/sealeap-amazon-skills.

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

Open the folder on GitHubat commit 497d4b8

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Questions about Sealeap Fenghuang Amazon Beginner Sp Campaign Setup

What does Sealeap Fenghuang Amazon Beginner Sp Campaign Setup do?

Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN)…. Sealeap Fenghuang Amazon Beginner Sp Campaign Setup is an agent skill from xjli360/sealeap-amazon-skills. Set up a beginner Sponsored Products structure on the US marketplace in five gated steps—auto campaigns bid by targeting group, search-phrase research, manual keyword campaigns, product (ASIN) targeting, and negative keywords—plus a launch-week budget stance with inventory guardrails.

When should I use Sealeap Fenghuang Amazon Beginner Sp Campaign Setup?

Sealeap Fenghuang Amazon Beginner Sp Campaign Setup fits situations like: 新手怎么开广告、自动广告怎么设、四个匹配组分开出价、手动广告怎么建、ASIN 定向、否词怎么加、首发周广告怎么投; mutate live campaigns without approval; set bids without account CPC data.

How do I install Sealeap Fenghuang Amazon Beginner Sp Campaign Setup in Claude Code?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-beginner-sp-campaign-setup -a claude-code`. Or copy the skill folder (amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-beginner-sp-campaign-setup in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup in your project. Claude Code loads it when a task matches its description.

How do I install Sealeap Fenghuang Amazon Beginner Sp Campaign Setup in Codex?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-fenghuang-amazon-beginner-sp-campaign-setup -a codex`. Or copy the skill folder (amazon-skills/youtube/fenghuang/sealeap-fenghuang-amazon-beginner-sp-campaign-setup in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup in your project. Codex loads it when a task matches its description.

Can I use Sealeap Fenghuang Amazon Beginner Sp Campaign Setup 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-fenghuang-amazon-beginner-sp-campaign-setup -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-fenghuang-amazon-beginner-sp-campaign-setup, .gemini/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup, .github/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup and .opencode/skills/sealeap-fenghuang-amazon-beginner-sp-campaign-setup in your project.

What does Sealeap Fenghuang Amazon Beginner Sp Campaign Setup need to run?

Going by SKILL.md and its folder, Sealeap Fenghuang Amazon Beginner Sp Campaign Setup needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Fenghuang Amazon Beginner Sp Campaign Setup 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 Fenghuang Amazon Beginner Sp Campaign Setup 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 Fenghuang Amazon Beginner Sp Campaign Setup use?

Sealeap Fenghuang Amazon Beginner Sp Campaign Setup 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 Fenghuang Amazon Beginner Sp Campaign Setup use?

About 757 tokens (SKILL.md is roughly 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 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Fenghuang Amazon Beginner Sp Campaign Setup?

Skills that share tags, products or a category with Sealeap Fenghuang Amazon Beginner Sp Campaign Setup: Aisafetyhot (wuyoscar/AISafetyHot-Hub, 827 stars), Gate MCP Skill (holon-run/uxc, 116 stars), Hive MCP Skill (holon-run/uxc, 116 stars) and Sponsio Agent Safety Setup (SponsioLabs/Sponsio, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Fenghuang Amazon Beginner Sp Campaign Setup?

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.