sealeap-amazon-audience-segmentation SKILL.md skillA
sealeap-amazon-audience-segmentation from xjli360/sealeap-amazon-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xjli360/sealeap-amazon-skills/sealeap-amazon-audience-segmentation@git:20260915.1f57a2aPins git:20260915.1f57a2a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xjli360/sealeap-amazon-skills
- Path
amazon-skills/amazon-official/sealeap-amazon-audience-segmentation/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260915.1f57a2a, committed Sep 15, 2026
- Size
- 2,715 bytes
- Repository stars
- 324
- License
- MIT
以品牌、品类和更广购物者三层消费者组织亚马逊广告目标、商品、创意、受众及衡量。用于唤回已互动用户、品牌新客拓展、消费者忠诚分析和 SP/SB 受众竞价实验；区分客户分组、可投受众与 NTB 指标，不把分层占比视为可直接触达名单。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SeaLeap 亚马逊消费者分层投放 按“了解消费者、触达消费者、衡量贡献”组织投放。每个群体都需要明确业务目标和可用证据。 ## 输入 品牌与站点、客户忠诚/复购/购物篮等聚合报告、现有广告、新客与总销售、商品事实和场景、可用受众/促销工具、预算及利润、报告窗口与定义。 ## 工作流 1. 从聚合报告建立当前客户、潜在客户和需求变化视图。区分报表中的分组定义、数据范围与实际可投受众，不推导个人身份。 2. 将业务目标映射到品牌消费者、品类消费者或更广购物者；明确召回、转化、复购或拉新中的首要目标。 3. 核验广告产品、再营销/内容相关/受众方式、品牌定制促销及流媒体等当前资格，选择与目标匹配的一项实验。 4. 让商品、真实场景、创意和落地页匹配受众任务，AI 候选必须经过产品事实和语言审核。 5. 对 SP/SB 受众竞价调整说明其影响的是出价机会，不意味着排除非该群体；其他广告产品的受众定向另行核验。 6. 用正确的 NTB 订单、销售或件数及成本衡量贡献，并将总体群体结构变化与广告实验结果分开。高意向人群的较高 CVR 不自动等于因果增量。 ## 交付 消费者定义与证据矩阵、目标—受众—ASIN—创意—工具表、预算实验、NTB 指标字典、报告覆盖和结果局限。 ## 证据与执行范围 - 材料中的案例、比例和时间表标为 `COURSE_BASELINE` 或 `TRAINING_CASE`；来源与口径已核验的店铺数据标为 `ACCOUNT_FACT`，用户转交但未核验的数据标为 `USER_PROVIDED`，合成练习标为 `SIMULATED`。推断标为 `HYPOTHESIS`，缺失项写 `UNKNOWN`，不补成 0。 - 先固定店铺、广告 profile、站点、ASIN、币种、数据窗口与归因口径。课程介绍的资格、界面、报告字段和功能覆盖在实际使用时核验。 - 默认交付诊断与草案。真实写入只在当前会话已授权的对象、动作和预算内执行，并保存旧值与回读结果；新增范围先取得授权。 详细方法见 [执行手册](references/playbook.md)。材料定位、版本差异和需纠正的外推见 [来源与边界](references/source-and-guardrails.md)。
Read the whole file at its exact version.
How to install
mdr add xjli360/sealeap-amazon-skills/sealeap-amazon-audience-segmentation@sha256:14c8ca4decbeaa54The line at the top of this page pins the label git:20260915.1f57a2a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jacoizxmv63eeejn)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 15, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2715 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
xjli360/sealeap-amazon-skills · 324 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jacoizxmv63eeejn GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-amazon-audience-segmentation GET https://markdownregistry.com/api/v1/blob/14c8ca4decbeaa5438132396554683563d3214bdbeb33c17399cae41f33d0e4a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.