sealeap-amazon-prime-day-planning SKILL.md skillA

sealeap-amazon-prime-day-planning 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-prime-day-planning@git:20260906.d30e1bd

Pins git:20260906.d30e1bd 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-prime-day-planning/SKILL.md
Versions recorded
1
Latest version
git:20260906.d30e1bd, committed Sep 6, 2026
Size
3,952 bytes
Repository stars
324
License
MIT

Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan without averaging incompatible slices or treating historical benchmarks as forecasts. Use for Prime Day/会员日广告规划, 旺季预算, ROAS/DPV/Units/Sales benchmark, marketplace insight lookup, Sponsored Ads/SP/SB/Display mix, event baseline comparison, preheat/peak/tail plan, or querying the included 116-row insight dataset. Default to analysis and draft; verify the current event dates…

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 Prime Day 广告规划

## 目标

从 116 条带限定条件的历史洞察中找到“真正适用于当前问题的行”,保留 marketplace、广告产品、指标、广告主资格、品类、花费门槛和时间窗口,再将其降级为规划先验,用当前账户数据决定活动节奏与实验。

先读 [references/source-and-guardrails.md](references/source-and-guardrails.md)。查询数据使用 `scripts/filter_insights.py`;输出计划参考 [references/planning-workflow.md](references/planning-workflow.md)。

## 查询数据

查看摘要:

```bash
python3 scripts/filter_insights.py --summary
```

按站点、指标和广告产品筛选:

```bash
python3 scripts/filter_insights.py --marketplace DE --metric ROAS --ad-product "Sponsored Brands"
```

搜索限定条件:

```bash
python3 scripts/filter_insights.py --marketplace US --contains "brand owner" --format json
```

`marketplace` 会匹配行中列出的单站点/区域;`All` 不是任意行通配符,而是源数据明确标记的全球切片。

## 工作流

### 1. 锁定当前事件

确认年份、marketplace、官方 event dates、广告 profile、时区、币种、ASIN/品类、Deal/优惠资格、库存到仓时间和活动目标。不得沿用 2025 时间窗口作为当前日历。

### 2. 锁定经济性与库存

计算贡献毛利、盈亏平衡 ACOS、促销成本、库存覆盖天数、补货截止和断货风险。销量目标超出库存或现金流承受时先 `HOLD_SCALE`。

### 3. 筛选可比洞察

从最严格条件开始:单站点 > 区域 > `All`;同指标、同广告产品、相近广告主资格/品类/花费门槛。每个候选行完整保留 `Content` 中的限定说明。

如果没有足够可比行,输出 `NO_COMPARABLE_SOURCE_SLICE`,不要拿全球/其它品类数字填空。

### 4. 解释而非平均

- DPV、Units、Sales 的 uplift 是事件期对材料所列基准期的比较;
- ROAS 是材料所列事件期内的比率;
- 各行可能来自不同 marketplace、资格和广告产品,不得求简单平均或排名;
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add xjli360/sealeap-amazon-skills/sealeap-amazon-prime-day-planning@sha256:84aa4d4f95c02fd3

The line at the top of this page pins the label git:20260906.d30e1bd, 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_ibquhba7jviucnzs.svg)](https://markdownregistry.com/a/art_ibquhba7jviucnzs)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 6, 2026.

versioncommittedcommitsizeaudit
git:20260906.d30e1bd latest2026-09-06 d30e1bd 3,952 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 (3952 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_ibquhba7jviucnzs
GET https://markdownregistry.com/api/v1/resolve?ref=xjli360/sealeap-amazon-skills/sealeap-amazon-prime-day-planning
GET https://markdownregistry.com/api/v1/blob/84aa4d4f95c02fd3a711af9eb1286e816a4c5165d926241e0b49fe60b5149b82

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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