cdeistopened avatar

Amazon Category Research

This walks you through finding profitable Amazon KDP categories by drilling down into subcategories, comparing bestseller ranks at positions #1 and #100, and analyzing what's working for the competition. You get a structured workflow that covers everything from initial genre selection to plugging BSR numbers into sales calculators like Kindlepreneur's tool. The output template gives you a clean way to document your findings across three categories with sales estimates and competitor patterns. Most useful when you're planning a book launch and need to make smart choices about where to position it, since you only get three category slots and Amazon has tens of thousands of options. The analysis framework for interpreting high versus low sales gaps is genuinely helpful for understanding whether a category is worth targeting.

skills.sh installs
210
GitHub stars
29
last updated
Aug 21, 2026

Install

$ npx -y skills add cdeistopened/skill-stack --skill amazon-category-research --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Sponsors

Details

Repository
github.com/cdeistopened/skill-stack
Categories
Data Science & ML, Productivity & Planning
First seen
Jun 3, 2026

More from cdeistopened/skill-stack

All 2
1yonatangross avataranalyticsyonatangross/orchestkitQueries local analytics across OrchestKit projects for agent usage, skill frequency, hook timing, team activity, session replay, cost estimation, and model dele210skills.sh installs
2sickn33 avatarml-pipeline-workflowsickn33/antigravity-awesome-skillsml pipeline workflow204skills.sh installs
3borghei avatarpeople-analyticsborghei/claude-skillsPeople analytics across workforce metrics, predictive modeling, and employee insights. Use when building turnover models, analyzing engagement surveys, running 203skills.sh installs
4borghei avataranalytics-engineerborghei/claude-skillsAnalytics engineering across data modeling, dbt, transformation, and semantic layers. Use when building dbt models, designing star schemas, writing staging or m202skills.sh installs
5charleswiltgen avataraxiom-apple-docs-researchcharleswiltgen/axiomUse when researching Apple frameworks, APIs, or WWDC sessions - provides techniques for retrieving full transcripts, code samples, and documentation using Chrom202skills.sh installs
6aradotso avatartoken-dashboard-claude-analyticsaradotso/trending-skillstoken dashboard claude analytics201skills.sh installs