amazon-category-research

v2026.09.25

Research profitable Amazon KDP categories for book publishing. Use when planning a book launch, analyzing competition, or optimizing category selection for discoverability.

GitHub
安装命令
npx skhub add cdeistopened/amazon-category-research
Markdown
SKILL.md

Amazon Category Research

Guided workflow for finding profitable Amazon book categories with low competition.

Quick Facts

  • You can only select 3 categories per book
  • Amazon has tens of thousands of subcategories
  • Categories drive algorithm visibility
  • Lower BSR (Best Sellers Rank) = more sales

Workflow

Step 1: Identify Your Genre Space

What broad category does your book fit?

FictionNonfiction
RomanceSelf-help
Mystery/ThrillerBusiness
Sci-Fi/FantasyReligion/Spirituality
Literary FictionHealth/Fitness
Children's/YABiography

Step 2: Research Subcategories

Go to Amazon Best Sellers and drill down:

  • Click your main category
  • Keep drilling into subcategories until you find a niche
  • Example: Fiction > Fantasy > Short Stories > Coming of Age

Step 3: Analyze #1 and #100

For your target subcategory:

#1 Bestseller:

  • Find the book's product page
  • Scroll to "Product Details"
  • Note the BSR (Best Sellers Rank)
  • Plug into Kindlepreneur Calculator

#100 Bestseller:

  • Repeat the process
  • Compare daily sales estimates

Step 4: Interpret Results

SignalMeaning
#1 has high sales, #100 has decent salesHealthy category with room
#1 has high sales, #100 has very low salesTop-heavy, hard to break in
Both have low salesSmall market, easy to rank but limited upside
Large gap between #1 and #100Competition concentrated at top

Step 5: Competitor Analysis

For top 10 books in your target category, note:

  • Price point
  • Number of reviews
  • Cover design style
  • Keywords in title/subtitle
  • Page count

Output Template

## Category Research: [Book Title]

### Target Categories (pick 3)
1. [Category path] - BSR range: X-Y, Est. daily sales: X-Y
2. [Category path] - BSR range: X-Y, Est. daily sales: X-Y  
3. [Category path] - BSR range: X-Y, Est. daily sales: X-Y

### Competition Analysis
- Avg price: $X
- Avg reviews: X
- Cover style: [description]
- Common keywords: [list]

### Recommendation
[Which 3 categories to select and why]

Tools

发现
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版本
最新版本元数据

版本

v2026.09.25

发布时间

2026年9月25日

分类

未分类

许可证

MIT

源路径

.claude/skills/amazon-category-research

默认分支

main

最新提交

d607d66

Tree SHA

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