Agent skill

Sealeap Bixie Amazon Event Readiness Ad Format Layout

by xjli360 in xjli360/sealeap-amazon-skills

Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures…

MITAuto-check passedAI & LLM Engineering

Install Sealeap Bixie Amazon Event Readiness Ad Format Layout

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-event-readiness-ad-format-layout -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bixie-amazon-event-readiness-ad-format-layout --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/weixin/bixie/sealeap-bixie-amazon-event-readiness-ad-format-layout .claude/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout && 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-bixie-amazon-event-readiness-ad-format-layout
GitHub stars
251
Token cost
~773 tokens
SKILL.md length
157 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures…

  • 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。 → …
  • 大促前多久开始准备、Listing与库存是否达标、大促期广告结构怎么搭
  • 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 Bixie Amazon Event Readiness Ad Format Layout is an agent skill from xjli360/sealeap-amazon-skills. Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures suited to promotion-period traffic and conversion patterns. Keeps negative-keyword and bid-ceiling guardrails explicit for the event window. Use for 大促前多久开始准备、Listing与库存是否达标、大促期广告结构怎么搭. Do not use for post-event attribution review, or to raise budget before margin math is confirmed.

Its SKILL.md is about 770 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

  • 大促前多久开始准备、Listing与库存是否达标、大促期广告结构怎么搭
  • Post-event attribution review
  • Raise budget before margin math is confirmed

Example prompts

  • “/sealeap-bixie-amazon-event-readiness-ad-format-layout”

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 Bixie Amazon Event Readiness Ad Format Layout loads about 773 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 157 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~773
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

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). 157 words, ~773 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-bixie-amazon-event-readiness-ad-format-layout
description
Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures suited to promotion-period traffic and conversion patterns. Keeps negative-keyword and bid-ceiling guardrails explicit for the event window. Use for 大促前多久开始准备、Listing与库存是否达标、大促期广告结构怎么搭. Do not use for post-event attribution review, or to raise budget before margin math is confirmed.

Amazon 大促备战清单与广告布局

目标

Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures suited to promotion-period traffic and conversion patterns. Keeps negative-keyword and bid-ceiling guardrails explicit for the event window.

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。
  • 主图、A+、评论数量等达标线因类目和竞争强度不同差异很大,应以当前类目头部竞品水平做校准,而非套用统一数字门槛。
  • 大促期销量倍数、竞价上限倍数等经验值均需用自身历史大促实际数据重新校准,不同产品、不同促销力度下倍数差异可能很大。
  • 商品定位广告选择的竞品评论量、评分、价格带区间是经验筛选范围,应结合当前类目实际竞争格局调整,不是固定标准。
  • 品牌广告与展示广告的受众定向、出价策略以后台当前可用功能为准,平台功能与规则可能随时调整。

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. 对照大促官方时间线倒推:秒杀折扣提报截止、入库截止、货件拆分截止等关键节点,标出本店铺各产品当前的达标或缺口状态。
  2. 逐条核对 Listing 基础是否达标:主图是否白底清晰并配场景图和尺寸图、是否有演示视频、标题前段是否清楚传达核心信息、A+ 页面与评论数量是否达到可支撑转化的门槛,具体门槛以当前类目同价位竞品水平校准。
  3. 按大促预期销量倍数(以自身历史大促实际倍数校准,不套用统一倍率)核算现有库存加在途库存的缺口,确保能在入库截止前补齐。
  4. 按头部词竞争加剧、长尾词与精准定向性价比上升的大促流量特征重新分配预算,而非单纯提高原有出价。
  5. 自动广告用于测词收集候选,手动广告(短语优先于精准)承接经验证的高转化词,同时对与自身材质规格明显不符的词提前否定。
  6. 商品定位广告选择评论量、评分与价格带与自身相近但非头部的竞品作为定位对象,展示广告优先覆盖近期浏览未购买与已购买互补品的人群。
  7. 品牌广告在大促期主要看点击率与转化率而非 ACOS 单一指标,用于抢占搜索结果顶部曝光而非直接追求投产比。

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:获取竞品 ASIN 的评论量、评分与价格带作为商品定位广告候选池的代理证据。

  • 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

  • 大促准备时间线核对表
  • Listing与库存达标缺口清单
  • 分类型广告结构布局方案
  • 否定词与定位候选清单
  • 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/weixin/bixie/sealeap-bixie-amazon-event-readiness-ad-format-layout 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

Compare with similar skills

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Questions about Sealeap Bixie Amazon Event Readiness Ad Format Layout

What does Sealeap Bixie Amazon Event Readiness Ad Format Layout do?

Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures…. Sealeap Bixie Amazon Event Readiness Ad Format Layout is an agent skill from xjli360/sealeap-amazon-skills. Sequence pre-event readiness (listing assets, review count, inbound inventory) against a promotion timeline, then lay out automatic, manual, product-targeting, brand, and display ad structures suited to promotion-period traffic and conversion patterns.

When should I use Sealeap Bixie Amazon Event Readiness Ad Format Layout?

Sealeap Bixie Amazon Event Readiness Ad Format Layout fits situations like: 大促前多久开始准备、Listing与库存是否达标、大促期广告结构怎么搭; post-event attribution review; raise budget before margin math is confirmed.

How do I install Sealeap Bixie Amazon Event Readiness Ad Format Layout in Claude Code?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-event-readiness-ad-format-layout -a claude-code`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-event-readiness-ad-format-layout in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout in your project. Claude Code loads it when a task matches its description.

How do I install Sealeap Bixie Amazon Event Readiness Ad Format Layout in Codex?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bixie-amazon-event-readiness-ad-format-layout -a codex`. Or copy the skill folder (amazon-skills/weixin/bixie/sealeap-bixie-amazon-event-readiness-ad-format-layout in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout in your project. Codex loads it when a task matches its description.

Can I use Sealeap Bixie Amazon Event Readiness Ad Format Layout 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-bixie-amazon-event-readiness-ad-format-layout -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-bixie-amazon-event-readiness-ad-format-layout, .gemini/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout, .github/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout and .opencode/skills/sealeap-bixie-amazon-event-readiness-ad-format-layout in your project.

What does Sealeap Bixie Amazon Event Readiness Ad Format Layout need to run?

Going by SKILL.md and its folder, Sealeap Bixie Amazon Event Readiness Ad Format Layout needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Bixie Amazon Event Readiness Ad Format Layout 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 Bixie Amazon Event Readiness Ad Format Layout 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 Bixie Amazon Event Readiness Ad Format Layout use?

Sealeap Bixie Amazon Event Readiness Ad Format Layout 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 Bixie Amazon Event Readiness Ad Format Layout use?

About 773 tokens (SKILL.md is roughly 3.1k 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 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Bixie Amazon Event Readiness Ad Format Layout?

Skills that share tags, products or a category with Sealeap Bixie Amazon Event Readiness Ad Format Layout: 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 Bixie Amazon Event Readiness Ad Format Layout?

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.