跳到主要内容
知仓学习社ZHICANG

kunze-ad-setup

|

不碰外部(只输出文字)无严重或高危命中hashgraph-online/awesome-codex-plugins

它会碰到什么

扫了多少1 个文本文件,3 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Kunze Ad Setup

Inputs

Ask once for:

  • main keyword
  • product SKU
  • optional product name
  • optional budget level: conservative or aggressive
  • optional output path

Defaults:

  • budget level: conservative
  • output directory: ./artifacts/launchfast/campaigns/

Strategy

Kunze’s model favors:

  • broad and phrase coverage
  • one ad group per campaign
  • small keyword sets
  • gap-opportunity terms where competitors rank poorly

Workflow

1. Market research

Run:

research_products(keyword="<main_keyword>", focus="balanced", product_limit=20)

Collect top 10-15 competitor ASINs plus market context.

2. Keyword research

  • Research competitor ASINs in manageable batches of 3-4.
  • Prefer parallel tool calls where possible.
  • Do not require delegation.

Use:

amazon_keyword_research(asins=[...], limit=50, min_search_volume=300)

3. Build the keyword master list

For each keyword compute:

  • overlap across ASIN batches
  • search volume
  • CPC
  • purchase rate
  • relevance
  • competitor coverage
  • gap-opportunity signal

Then select:

  • Broad campaign keywords
  • Phrase campaign keywords
  • ASIN targets
  • Category target placeholder if category ID is unknown

4. Generate bulksheet

Create:

  • Auto campaign
  • Broad campaign
  • Phrase campaign
  • Category targeting campaign
  • ASIN targeting campaign

Use deterministic CSV generation with Python csv.writer.

Use this exact Amazon Bulksheets 2.0 header and column order:

Product,Entity,Operation,Campaign Id,Ad Group Id,Portfolio Id,Ad Id,Keyword Id,Product Targeting Id,Campaign Name,Ad Group Name,Start Date,End Date,Targeting Type,State,Daily Budget,sku,asin,Ad Group Default Bid,Bid,Keyword Text,Match Type,Bidding Strategy,Placement,Percentage,Product Targeting Expression,Audience ID,Shopper Cohort Percentage,Shopper Cohort Type

Deterministic campaign layout:

  • Auto: 1 campaign, 1 ad group, 1 product ad, 4 auto targeting rows
  • Broad: 1 campaign, 1 ad group, 1 product ad, up to 5 broad-match keywords
  • Phrase: 1 campaign, 1 ad group, 1 product ad, up to 5 phrase-match keywords
  • Category: 1 campaign, 1 ad group, 1 product ad, 1 category targeting row
  • ASIN: 1 campaign, 1 ad group, 1 product ad, up to 15 ASIN target rows

Required defaults:

  • start date: current date in YYYYMMDD
  • bidding strategy: Dynamic bids - down only
  • one ad group per campaign
  • if category ID is unknown, emit a literal placeholder such as [CATEGORY_ID]

Write to:

./artifacts/launchfast/campaigns/[product-name]-kunze-[YYYY-MM-DD].csv

5. Provide an operator summary

Return:

  • campaign list
  • selected keywords
  • budget assumptions
  • output file path

If a category ID is missing, leave a clear placeholder and call it out explicitly.

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。

它属于哪个仓库

星标★ 1,027
本站分层T1
该仓技能数1910
原文件路径plugins/BlockchainHB/launchfast_codex_plugin/skills/kunze-ad-setup/SKILL.md

同一个仓库里的其他技能

看这个仓库的全部 1910 个技能