sealeap-amazon-full-funnel-growth SKILL.md skillA

sealeap-amazon-full-funnel-growth from xjli360/sealeap-amazon-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add xjli360/sealeap-amazon-skills/sealeap-amazon-full-funnel-growth@git:20261016.1283764

Pins git:20261016.1283764 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-full-funnel-growth/SKILL.md
Versions recorded
2
Latest version
git:20261016.1283764, committed Oct 16, 2026
First version recorded
Sep 6, 2026
Size
5,571 bytes
Repository stars
324
License
MIT

Plan and diagnose evidence-based Amazon full-funnel growth across awareness, consideration, conversion, and loyalty without collapsing brand media, retail readiness, and performance ads into one metric. Use for 全流域营销, 全漏斗营销, 品牌出海, media mix, non-linear customer journey, CTV/online video/social/search coordination, new-to-brand, high-ticket decision journeys, brand-plus-performance measurement, or turning the authorized 2025 Ipsos/Amazon study into an account-specific plan. Default to read-only…

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

# Amazon 全流域增长规划

## 目标

把“全渠道都投一点”改造成可验证的增长系统:确定业务目标与目标人群,画出非线性决策路径,区分各触点职责,连接零售与品牌信号,并用增量或可归因实验决定下一轮预算,而不是用最后点击代替全程贡献。

先读 [references/source-and-guardrails.md](references/source-and-guardrails.md)。需要消费者旅程与渠道角色时读 [references/journey-and-channel-map.md](references/journey-and-channel-map.md);设计指标和实验时读 [references/measurement-and-experiment.md](references/measurement-and-experiment.md)。

## 核心原则

- `全流域` 是“认知 → 考虑 → 转化 → 忠诚”的协同,不等于所有广告产品同时开启。
- 消费者路径非线性。搜索、详情页、社媒、在线视频、流媒体电视、达人内容、品牌店和复购触点可能往返出现。
- 电商详情页与品牌店是承接中枢;库存、价格、配送、评价和内容质量不足时,扩大媒体只会放大漏损。
- 每个触点只承担一个首要任务,并拥有匹配的指标。不得用 ACOS 单独评价认知,也不得用曝光量证明销售增量。
- 课程研究数据和 TCL、SOJOS 案例是 `SOURCE_SNAPSHOT` / `TRAINING_CASE`,不是当前账户基准、效果承诺或预算配方。
- 默认只读。预算、受众、竞价、投放状态、素材和详情页写入都要逐对象批准。

## 工作流

### 1. 锁定问题与作用域

记录 marketplace、品牌、ASIN/品类、日期、币种、客单价、复购周期、库存、价格、渠道、归因窗口和数据更新时间。只选一个主要问题:认知不足、考虑流失、转化断点、复购不足或跨触点重复浪费。

### 2. 建立证据表

将输入分为:

- `ACCOUNT_FACT`:当前授权账户和站点的可复核数据;
- `CURRENT_POLICY`:本轮从官方来源确认的能力、资格与规则;
- `SOURCE_SNAPSHOT`:课程研究、历史比例、页面路径和案例;
- `HYPOTHESIS`:待验证的消费者或渠道解释;
- `NEEDS_DATA`:缺失后不能继续下结论的字段。

不把调查相关性写成当前品牌因果,不把行业比例写成当前账户人群比例。

### 3. 画决策旅程

至少覆盖:首次发现、主动研究、商品比较、详情页验证、加购/放弃、购买、复购/推荐。对每一步写清:用户问题、现有触点、证据、漏损、下一触点。高客单价商品单独检查更长的研究周期、多次品牌验证和设备切换。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xjli360/sealeap-amazon-skills/sealeap-amazon-full-funnel-growth@sha256:aaefa473657cef09

The line at the top of this page pins the label git:20261016.1283764, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_otfcwgm77proji35.svg)](https://markdownregistry.com/a/art_otfcwgm77proji35)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 6, 2026 and Oct 16, 2026, about one every 40 days.

versioncommittedcommitsizeaudit
git:20261016.1283764 latest2026-10-16 1283764 5,571 BA view · diff
git:20260906.d30e1bd2026-09-06 d30e1bd 5,332 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5571 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

GitHub

xjli360/sealeap-amazon-skills · 324 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_otfcwgm77proji35
GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-amazon-full-funnel-growth
GET https://markdownregistry.com/api/v1/blob/aaefa473657cef0972d41025555d9bf06d189329748f32500bbcaa447a00faf4

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.

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