Amazon Ads Audit
AgriciDaniel/claude-ads
Audits an Amazon Ads account across Sponsored Products, Brands, Display and DSP, producing evidence-based findings, prioritized recommendations and draft-only changes.
Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products.
MITAuto-check passed
Install Sealeap Amazon Apparel Lifecycle Ads
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-ads --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .claude/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.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/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .claude/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-adsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-ads --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .agents/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .agents/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-ads --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .cursor/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .cursor/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xjli360/sealeap-amazon-skills.git --path amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-ads --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .gemini/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .gemini/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-adsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .github/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .github/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-apparel-lifecycle-ads --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads .opencode/skills/sealeap-amazon-apparel-lifecycle-ads && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-amazon-apparel-lifecycle-ads" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads into .opencode/skills/sealeap-amazon-apparel-lifecycle-ads/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-apparel-lifecycle-ads", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sealeap-amazon-apparel-lifecycle-ads- GitHub stars
- 251
- Token cost
- ~1.9k tokens
- SKILL.md length
- 490 words
- Files
- 11 (incl. references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products.
- Works in 9 steps: 这个 skill 解决什么 → 第一步：判断产品属于哪个生命周期类型 → 第二步：判断细分产品类型与广告锚点 → …
- 女装/内衣/泳装/西装/配饰广告打法
- SKILL.md covers 0. 这个 skill 解决什么, 1. 第一步：判断产品属于哪个生命周期类型, 2. 第二步：判断细分产品类型与广告锚点 and 3. 第三步：投放前的两个必要前提, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sealeap Amazon Apparel Lifecycle Ads is an agent skill from xjli360/sealeap-amazon-skills. Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products. Use for 美国站服饰广告投放, 女装/内衣/泳装/西装/配饰广告打法, ASIN 生命周期判断, 服饰非标品找词, 广告预算结构, 旺季预热与淡季保温, 主身份/标签/流量池诊断, ACOS 高, 点击高不转化, 大词首页不转化, 断货后重启, SB/SBV/SPV/SD/商品投放组合, 否词与复盘. Default to analysis and draft; do not mutate live campaigns without explicit human approval.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `agents/openai.yaml`, `references/benchmark-data.md` and `references/faq.md`).
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
- 女装/内衣/泳装/西装/配饰广告打法
- SB/SBV/SPV/SD/商品投放组合
Example prompts
- “/sealeap-amazon-apparel-lifecycle-ads”
Workflow steps
9 steps, taken from the step headings in SKILL.md.
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
No scripts in the folder and no shell commands in SKILL.md.
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 Apparel Lifecycle Ads loads about 1.9k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 490 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 490 words, ~1,921 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-apparel-lifecycle-ads/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- sealeap-amazon-apparel-lifecycle-ads
- description
- Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products. Use for 美国站服饰广告投放, 女装/内衣/泳装/西装/配饰广告打法, ASIN 生命周期判断, 服饰非标品找词, 广告预算结构, 旺季预热与淡季保温, 主身份/标签/流量池诊断, ACOS 高, 点击高不转化, 大词首页不转化, 断货后重启, SB/SBV/SPV/SD/商品投放组合, 否词与复盘. Default to analysis and draft; do not mutate live campaigns without explicit human approval.
亚马逊美国站服饰品类 · 生命周期广告投放法则
来源：亚马逊广告官方系列直播课《ASIN 决金局 · 亚马逊美国站服饰广告系列课》的长生命周期（两个视频版本）、短生命周期与季节性内容（本地共 4 个视频文件，2026 年 4 月） 倍数型数据通常为「头部 25% ASIN ÷ 尾部 25% ASIN」的相对值，非绝对值；Costume Outfit 的源画面存在头尾 20% / 25% 分位冲突，未复核前不得用作账户目标。
先读 references/source-and-guardrails.md 理解课程主题、公开范围、证据等级与执行边界。课程中的广告产品能力、资格和规则是 2026 年课程时点信息；涉及真实执行时必须核对当前美国站控制台。
0. 这个 skill 解决什么
服饰是非标品：同一个关键词背后可能对应完全不同的消费者画像，流量更容易泛化。 课程认为，照搬标品打法（先铺满入口 → 再筛选 → 加价上首页）在服饰品类容易失焦；是否失效必须用具体账户数据验证。
本 skill 提供的决策链条：
判断周期类型 → 判断细分产品类型 → 确定广告锚点 → 判断当前所处阶段
→ 套用该阶段的广告架构与预算配比 → 按触发条件调优 → 运营动作补位使用顺序：先做第 1-4 步的诊断，再进入第 5 步的打法章节。不要跳过诊断直接给架构建议。
1. 第一步：判断产品属于哪个生命周期类型
1.1 三个阶段的课程基础定义
以下月龄定义用于长、短生命周期产品的初始判断；季节性产品必须按细分类型改用旺季窗口：纯季节型为“第一个旺季前 / 第一个旺季 / 第二个旺季及以后”，周期型课程案例为“第一轮促销周期 / 第二轮 / 第三轮及以后”，见 references/seasonal.md。
| 阶段 | 定义 | 特征 |
|---|---|---|
| 新品期 | 上架开售当天起 0–3 个月 | 缺曝光、缺流量、缺市场认知，评论少 |
| 成长期 | 上架第 3 个月 → 销售额达到历史峰值 | 销售快速上升，评论/流量由少变多 |
| 成熟期 | 从销售峰值 → 跌至峰值 50% 以下之前 | 销售自峰值回落但有反复，自然流量开始进来 |
| 衰退期 | 跌破峰值 50% 之后 | 非广告投放的关键阶段 |
1.2 三大周期类型的判定
| 类型 | 趋势图特征 | 销售期 | 典型品类 |
|---|---|---|---|
| 长生命周期 | 稳定爬坡后长期高位，36 个月后仍在峰值 50% 以上 | > 3 年 | 西装 Suit、连衣裙（基础款）、紧身衣、打底裤/塑身衣、太阳镜、领带、配饰 |
| 短生命周期 | 快速上升 + 快速下跌，窗口极短 | < 3 年 | 文胸 Bra、内裤 Underpants、睡衣睡裙、浴袍、束腰带、身体束带、腰带、钥匙扣 Keychain |
| 季节性 | 高峰低谷规律可预测，旺季窗口集中 2–4 个月 | 多轮周期 | 泳装 Swimwear、女裙 Dress、外套、手套、毛衣、靴子、角色扮演服 Costume Outfit |
1.3 ⚠️ 关键补充：日历时间是明线，“标签语义”是课程诊断模型
不能只按上架天数判断阶段。 课程用“标签建立/强化/稳定/漂移”解释 ASIN 流量语义的变化，但它不是 Amazon 后台可直接读取的状态字段。使用时标记为 COURSE_MODEL，并从搜索词相关性、类目/商品定向流量、点击与转化、自然词覆盖和买家行为中推断：
| 课程模型 | 运营含义 | 大致对应 |
|---|---|---|
| 标签建立期 | 相关流量与转化语义仍在形成 | 新品期 |
| 标签强化期 | 已出现可重复的相关流量与成交信号 | 成长期 |
| 标签稳定期 | 主流量池和成交属性较稳定 | 成熟期 |
| 标签漂移期 | 流量、页面承诺与成交人群可能出现偏移 | 需先诊断再决定是否放量 |
课程中的判断示例（不是平台硬阈值）：
- 上架约 3 个月但相关流量仍分散、主场景未形成 → 可按“实质仍在新品期”诊断；先收敛定位与流量，再小步验证放量。
- 上架约 1–2 周已出现清晰主场景和可重复成交 → 可能开始进入成长期；仍需满足利润、库存和样本护栏后再放大。
2. 第二步：判断细分产品类型与广告锚点
八个课程案例/细分象限，锚点决定后续动作：
| 周期类型 | 细分类型 | 代表品类 | 消费者核心疑问 | 广告锚点 |
|---|---|---|---|---|
| 长生命周期 | 功能基础型（高客单/长决策） | 西装 Suit | 合不合身 / 质量好不好 / 值不值这个价 | 建立信任 |
| 长生命周期 | 功能基础型（低客单/短决策） | 女士打底裤、塑身衣 | 同上，但决策周期短 | 建立信任 + 冲动转化 |
| 长生命周期 | 功能配饰型（季节性） | 太阳镜 Sunglasses | 款式是不是我喜欢的 | 及时转化 / 超越期望的性价比 |
| 长生命周期 | 功能配饰型（无季节性） | 领带 Necktie | 同上 + 搭配场景 | 及时转化 + 关联流量 |
| 短生命周期 | 高信任壁垒型 | Bra、Underpants | 舒适度 / 尺码准确度 / 质量柔软度 | 先信任，再规模 |
| 短生命周期 | 低门槛快销型 | Keychain、腰带、围裙 | 质量过关吗 / 所见即所得吗 / 值这个钱吗 | 先转化，后留存 |
| 季节性 | 纯季节性（季节+趋势双驱动） | Dress、Swimwear | 合身显身材吗 / 款式颜色好看吗 / 图物一致吗 | 旺季窗口 + 视觉驱动转化 |
| 季节性 | 周期性（节庆/促销驱动） | Costume Outfit、Pants | 买得值吗 / 用得久吗 / 体验好吗 | 跨周期积累 + 促销节点集中转化 |
同一品类名可能落在不同象限，例如基础款 Dress 可呈长生命周期，强趋势款 Dress 可呈纯季节性。必须看真实销售曲线、需求驱动和旺季窗口，不能只按品类名分类。
如何判断消费者关注点（课程推荐方法）：
- 卖家后台 → 商机探测器 → 洞察与趋势 → 买家评论见解（过去 6 个月）
- 把买家评价全量导出，用 AI 汇总出该细分类目的真实需求与焦虑点
- 重点看「好评点提及率」和「差评点提及率」最高的原因，在上架前就做改进
3. 第三步：投放前的两个必要前提
前提 1：确定 ASIN 的主身份（课程运营模型）
主身份 = 真实定位 × 成功变量 × 流量池 三者共同收敛的结果。
| 底座 | 含义 | 常见错误 |
|---|---|---|
| 真实定位 | 基于产品客观物理属性，你到底是什么产品；同样重要的是你不是什么 | 今天打约会裙、明天打度假裙、后天打婚礼嘉宾裙 → 流量语义可能分散 |
| 成功变量 | 买家到底为什么下单（服饰常见：风格感、显瘦/显身材效果、舒适度、面料质感、场景匹配、价格值不值） | 卖点过多且不一致 → 页面与流量的匹配更难判断 |
| 流量池 | 哪一类流量最符合当前定位与变量 | 先问"我能投什么词"，而不是先问"什么词什么场景才适合我" |
建议动作：前期把卖点压缩到 2–3 个集中放大，先让系统和买家记住最关键的一件事。 （课程案例：同一款产品采用两个不同场景的 Listing 后，流量结构与转化率表现不同；这是描述性案例，不单独证明平台归因。）
前提 2：理解四大标签来源与三大动态阶段
课程把以下 4 类信号概括为“标签来源”；它们用于运营诊断，不代表可直接读取的平台内部标签：
| 标签来源 | 作用 |
|---|---|
| 关键词标签 | 系统理解产品语义的入口（身份词/人群词/场景词/属性词） |
| 类目标签 | 系统归类、产品身份的入口 |
| ASIN 标签 | 系统建立关联认知的入口（ASIN 本身就是关键词合集） |
| 买家行为 | 用点击、来源、加购、成交等可观测结果检验流量假设 |
三大动态阶段：识别期 → 稳定期 → 漂移期，是动态循环而非一次性过程。发生污染或漂移后，需重新进入下一轮识别。
课程对广告作用的解释：
- 用相关流量帮助验证产品定位与受众假设
- 放大已经被账户数据验证的流量入口
⚠️ 课程推论：身份与流量尚未收敛时盲目扩量，可能引入更多低相关点击；已有稳定证据后，广告才更适合承担放大角色。该因果需用账户实验验证。
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4. 第四步：查阅头部 ASIN 数据基准
用于判断当前投放是否偏离头部路径 → 见 references/benchmark-data.md
一句话速查：
| 品类（案例） | 生命周期倍数 | 头部核心策略 |
|---|---|---|
| Suit（长·高客单） | 5× | 稳扎稳打，逐步拉开差距 |
| 打底裤/塑身衣（长·低客单） | 10× | 激进投入，快速建立优势 |
| Sunglasses（长·配饰季节性） | 3× | 激进曝光抢占旺季 |
| Necktie（长·配饰无季节性） | 1.2× | 精准高效突围 + 中后期借关联品类 |
| Bra（短·高信任壁垒） | 10× | 新品期强跑 → 成长期品牌化 → 成熟期规模换利润 |
| Keychain（短·低门槛快销） | ~20× | 快速验证 → 品牌突围 → 规模防御 + 以老带新 |
| Dress（季节性·纯季节） | 5× | ROAS 优势从第一天建立，三轮旺季稳步放大 |
| Costume Outfit（季节性·周期性） | 4–7×（分位口径待复核） | 高转化效率贯穿全程，第三轮用利润换护城河 |
5. 第五步：套用对应的广告架构
按诊断结果打开对应文档，逐阶段执行：
| 场景 | 文档 |
|---|---|
| 长生命周期（西装/打底裤/太阳镜/领带四类打法） | references/long-lifecycle.md |
| 短生命周期（Bra 高信任壁垒 / Keychain 低门槛快销） | references/short-lifecycle.md |
| 季节性（Dress 纯季节 / Costume 周期性 + 站外联动） | references/seasonal.md |
| 找词方法论（商机探测器订单效率算法、流量层级分层） | references/keyword-research.md |
| 运营配合（消除顾虑、降退货、老带新、工具） | references/operations.md |
| 常见问题速答（16 条直播现场答疑） | references/faq.md |
6. 服饰品类的九条铁律
无论哪个周期类型，以下判断在所有 4 讲中被反复强调：
流量入口要多元，不要把预算压在少数几个词上。 课程数据集显示：热门搜索词里点击份额最高的前三名 ASIN，在单个具体词上的转化份额也有限。它是课程样本中的描述性基准，不是当前账户的保证；应结合账户搜索词与增量结果决定入口数量。
匹配方式按产品象限、阶段和已验证信号选择。 Suit 成长期偏广泛/词组；Necktie 新品可用词组/精准聚焦高相关长尾；Sunglasses 成长期可把双高词移入精准/广泛。不要把“服饰少用精准”写成跨场景硬规则。
按流量层级分组建广告活动。 例：一个词 ABA 排名 9.3 万、另一个 3–4 万，不要放同一个广告活动，否则低层级词吃不到预算。
搜索词分析要按「属性」聚合，不要看单个词。 非标品单词数据多为 1–2 次点击的偶然数据。正确做法：在搜索词报告里按属性（亚麻/雪纺/两件套/black/修身/舞会）筛选聚合，比较各属性累计的曝光、点击、订单、花费，再决定往哪些属性加码。
主身份 > 节日流量。 可以蹭万圣节、儿童节、婚礼季、开学季、父亲节的场景红利，但绝不能因为节日词好跑就把预算压过主身份词，节日过后要及时收回。
旺季前至少提前 1 个月布局，官方建议提前 2–3 个月。 季节性产品完整倒推：提前 4 个月完成上架与页面优化 → 提前 2 个月开始广告投放/关键词积累/标签建立 → 提前 1 个月确认 FBA 库存与调仓。
淡季保温只适用于仍有零星需求的周期型产品。 可用低竞价、低预算维护主身份并积累下一轮先发优势；纯季节型应根据剩余需求、库存和利润选择暂停、清仓或再营销，不能一律保温。
把退货纳入广告利润与 Listing 健康度诊断。 课程讲师认为退货表现可能影响流量竞争，并以 25%–50% 作为服饰卖家案例区间；这不是公开的广告位排序公式或当前账户基准。执行时以当前账户退货报告、贡献利润和可见平台规则为准。
竞价调整从低往高试，不要一次性大幅提价。 从低到高容易，从高到低困难；一次加太高容易「广告跑飞」。
7. 输出建议时的行为约束
当用户咨询具体投放问题时：
- 快速分流先确认 3 件事：产品品类与客单价 / 上架多久 + 课程标签模型所需的可观测信号是否收敛 / 当前处于旺季前中后哪个位置。
- 生成精确计划前再补齐：US 账户与广告 profile、ASIN/SKU/父子体、目标峰值日期、品牌广告资格、现有活动与近 30/14/7 天花费/CVR/ACOS、毛利与盈亏平衡 ACOS、可售/在途库存与补货周期、Listing/素材准备度。信息不全时列出
NEEDS_DATA，只给有边界的诊断，不直接给精确预算表。 - 预算配比是阶段性重心参考，不是固定模板。 明确告知用户：实际比例要看①当前阶段最重要的任务是什么 ②产品当前最缺什么（曝光/点击/转化）③该节点的竞争强度与利润空间是否支撑。
- 引用倍数数据时必须说明是「头部 25% vs 尾部 25% 的相对倍数」，不是绝对值，也不能横向比较两张趋势图的高低（纵轴刻度不同）。
- 不要编造课程中没有的数字。 本 skill 中所有百分比与倍数均来自课程原文；若用户问及课程未覆盖的品类，说明"课程未直接讲到，可参照最接近的细分类型"。
- 把课程参考值与当前账户事实分开。 课程比例与头尾倍数标记为
COURSE_BASELINE；Campaign、Search Term、Placement、总销售、利润、库存、退货和 Listing 数据标记为ACCOUNT_ACTUAL。缺少账户数据时只能输出DRAFT或HOLD，不能伪造精确预算或 KPI。 - 默认只给诊断和草案。 预算、竞价、placement、target、否定词、状态和广告结构都属于外部写操作；执行前逐项展示对象、旧值、新值、证据、影响范围、护栏与回退值，并等待人工确认。
- 每轮只改变一个可归因主变量。 不要在同一实验里同时改 Listing、价格、优惠、预算、竞价和定向后声称因果。
8. 交付格式与结论状态
按 references/output-contract.md 输出。至少包含：
- Marketplace、广告 profile、ASIN/SKU、父子体、数据窗口与授权范围；
- 生命周期类型、阶段、主身份、广告锚点及判定证据；
- 可售性、流量相关性、点击、转化/退货、利润/增量五层诊断；
- Campaign/Ad Group 结构、关键词与商品定向、匹配方式、预算重心、创意和运营补位；
- 单变量实验卡、成功/停止/回退条件、待确认动作；
DRAFT、READY_FOR_REVIEW、APPROVED或HOLD之一。
只在证据和回退信息完整时使用 READY_FOR_REVIEW；只有明确的人工作用域与动作确认后才使用 APPROVED。
© 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 10 other files (references) in amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/benchmark-data.md
- references/faq.md
- references/keyword-research.md
- references/long-lifecycle.md
- references/operations.md
- references/output-contract.md
- references/seasonal.md
- references/short-lifecycle.md
- references/source-and-guardrails.md
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Amazon Apparel Lifecycle Ads 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Amazon Apparel Lifecycle Ads this skillxjli360/sealeap-amazon-skills | 251 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Amazon Ads AuditAgriciDaniel/claude-ads | 9.9k | — | ~531 | Automated safety check: Pass | MIT | |
| Adscoreyhaines31/marketingskills | 54k | 1 repos | ~7k | Automated safety check: Pass | MIT | |
| Paid Ads Amazonnowork-studio/notfair-plugin | 3.9k | — | ~246 | Automated safety check: Pass | MIT | |
| Ad Creativecoreyhaines31/marketingskills | 54k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Amazon ASIN Lookupbrowser-act/skills | 6.1k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Sealeap Amazon Apparel Lifecycle Ads
What does Sealeap Amazon Apparel Lifecycle Ads do?
Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products. Sealeap Amazon Apparel Lifecycle Ads is an agent skill from xjli360/sealeap-amazon-skills. Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products.
When should I use Sealeap Amazon Apparel Lifecycle Ads?
Sealeap Amazon Apparel Lifecycle Ads fits situations like: 女装/内衣/泳装/西装/配饰广告打法; SB/SBV/SPV/SD/商品投放组合.
How do I install Sealeap Amazon Apparel Lifecycle Ads in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a claude-code`. Or copy the skill folder (amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-apparel-lifecycle-ads in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon Apparel Lifecycle Ads in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-apparel-lifecycle-ads -a codex`. Or copy the skill folder (amazon-skills/amazon-official/sealeap-amazon-apparel-lifecycle-ads in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-apparel-lifecycle-ads in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon Apparel Lifecycle Ads 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-apparel-lifecycle-ads -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-apparel-lifecycle-ads, .gemini/skills/sealeap-amazon-apparel-lifecycle-ads, .github/skills/sealeap-amazon-apparel-lifecycle-ads and .opencode/skills/sealeap-amazon-apparel-lifecycle-ads in your project.
What does Sealeap Amazon Apparel Lifecycle Ads need to run?
SKILL.md names no scripts, command-line tools or credentials: Sealeap Amazon Apparel Lifecycle Ads is instructions for the agent only.
Does Sealeap Amazon Apparel Lifecycle Ads 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 Apparel Lifecycle Ads 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. Review the folder before installing.
What licence does Sealeap Amazon Apparel Lifecycle Ads use?
Sealeap Amazon Apparel Lifecycle Ads 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 Apparel Lifecycle Ads use?
About 1.9k tokens (SKILL.md is roughly 7.7k 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 23k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Amazon Apparel Lifecycle Ads?
Skills that share tags, products or a category with Sealeap Amazon Apparel Lifecycle Ads: Amazon Ads Audit (AgriciDaniel/claude-ads, 9.9k stars), Ads (coreyhaines31/marketingskills, 54k stars), Paid Ads Amazon (nowork-studio/notfair-plugin, 3.9k stars) and Ad Creative (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon Apparel Lifecycle Ads?
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.