Claude-skill-registry amazon-category-research

Research profitable Amazon KDP categories for book publishing. This skill should be used when planning a book launch, analyzing competition, or optimizing category selection for discoverability. Guides the 3-category decision with BSR analysis and ghost category avoidance.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/amazon-category-research" ~/.claude/skills/majiayu000-claude-skill-registry-amazon-category-research && rm -rf "$T"
manifest: skills/data/amazon-category-research/SKILL.md
source content

Amazon Category Research

Select the right 3 Amazon categories for your book. This is a one-time, high-stakes decision—categories can't easily be changed after publishing, and 27% of KDP categories are "ghost categories" that don't actually work.

Purpose

Answer one question: Which 3 categories should this book be in?

This skill does NOT cover keywords (separate skill) or book descriptions (separate skill). Just categories.

When to Use This Skill

  • "Which categories should I choose for my book?"
  • "I'm publishing on KDP and need to pick categories"
  • "Is [category name] a good category?"
  • "How do I become a bestseller on Amazon?"
  • "What categories are my competitors in?"

Not for: Keyword research, book description writing, cover design, or pricing strategy.


The 4-Step Method

Step 1: Find Comp Titles

Identify 5-10 books similar to yours that are selling well.

How to find them:

  • Search Amazon for your topic
  • Look for books with 50+ reviews and BSR under 100,000
  • Note the ASIN (10-character ID starting with B) for each

What makes a good comp:

  • Similar topic/genre to your book
  • Published in last 2-3 years
  • Actively selling (BSR under 100,000)

Step 2: Extract Their Categories

Use BKLNK (free tool) to see all categories for each comp title.

Process:

  1. Go to bklnk.com
  2. Enter the ASIN
  3. See all categories the book is listed in
  4. Note which categories appear across multiple comps

What you're looking for:

  • Categories that multiple successful comps share
  • Specific subcategories (not just "Fiction" or "Non-Fiction")
  • Categories that actually have bestseller rankings

Step 3: Analyze BSR for Each Category

For each candidate category, check the competition level.

How to check:

  1. Go to Amazon's category page
  2. Note the BSR of the #1 book
  3. Note the BSR of the #20 book
  4. Use the BSR calculator:
    scripts/bsr_to_sales.py

Competition levels:

#1 Book BSRLevelWhat It Means
< 500Very HighHard to crack
500-5,000HighNeeds strong launch
5,000-10,000MediumAchievable
10,000-50,000LowGood opportunity
> 50,000Very LowEasy, but low traffic

Step 4: Apply the Portfolio Strategy

Select 3 categories with different competition levels:

SlotTargetPurpose
1. NicheBSR #1 > 10,000Easy bestseller badge at launch
2. Mid-rangeBSR #1 = 5,000-10,000Steady visibility
3. GrowthBSR #1 < 5,000Upside if book takes off

Why this works:

  • Slot 1 gives you a quick win (bestseller badge = social proof)
  • Slot 2 provides consistent discoverability
  • Slot 3 positions you for growth

Critical Warning: Ghost Categories

27% of KDP categories are "ghost categories" that:

  • Have no category page on Amazon
  • Can't earn bestseller badges
  • Provide zero discoverability

Before selecting ANY category:

  1. Search Amazon for that category
  2. Click through to verify the page exists
  3. Confirm books in that category have bestseller badges

If you can't find a real category page: DO NOT SELECT IT.

See

references/ghost-categories.md
for details on identification.


Tools

ToolCostUse
BKLNKFreeSee any book's categories by ASIN
Kindlepreneur BSR CalculatorFreeConvert BSR to daily sales
scripts/bsr_to_sales.py
FreeLocal BSR calculator
Publisher Rocket$199-299Automated category research + ghost detection
KDSPY$79Browser extension for BSR data

Reality Check: The Free Path Requires Manual Work

BSR data is not easily scraped. Amazon pages are JavaScript-rendered and don't yield BSR numbers to automated tools.

The free workflow:

  1. Find comp titles via Amazon search (works)
  2. Extract categories via BKLNK (works)
  3. Get BSR numbers → Must visit each Amazon product page manually, scroll to "Product Details," and note the BSR
  4. Convert BSR to sales via calculator (works)

The paid workflow:

  • Publisher Rocket ($199-299 one-time) automates steps 2-4 AND detects ghost categories
  • KDSPY ($79 one-time) adds BSR overlay to Amazon pages as you browse

Recommendation: For a single book, the free path is fine (budget 1-2 hours). For multiple books or ongoing publishing, Publisher Rocket pays for itself in time saved.


Quick Reference: Research Template

Copy

assets/research-spreadsheet.csv
and fill in for your book:

Category PathBSR #1BSR #20Ghost?CompetitionNotes
[Fill in]

Example: Applying the Method

Book: A guide to Christian fasting practices

Step 1 - Comp titles:

  • "Fasting" by Jentezen Franklin (ASIN: B001ANSS7U)
  • "The Fasting Edge" by Jentezen Franklin
  • "A Hunger for God" by John Piper
  • "Atomic Power of Prayer and Fasting" by Cindy Trimm

Step 2 - Categories extracted via BKLNK:

  • Religion & Spirituality > Christian Living > Spiritual Growth
  • Religion & Spirituality > Christian Living > Prayer
  • Health, Fitness & Dieting > Diets > Fasting

Step 3 - BSR analysis:

  • Spiritual Growth: #1 BSR = 3,500 (High competition)
  • Prayer: #1 BSR = 8,000 (Medium)
  • Fasting (Health): #1 BSR = 15,000 (Low)

Step 4 - Selection:

  1. Niche: Health > Diets > Fasting (easy badge)
  2. Mid: Christian Living > Prayer (steady)
  3. Growth: Christian Living > Spiritual Growth (upside)

Bundled Resources

  • references/bsr-thresholds.md
    - What BSR numbers mean for sales
  • references/ghost-categories.md
    - How to identify and avoid ghost categories
  • references/category-examples.md
    - 8+ real case studies with results
  • scripts/bsr_to_sales.py
    - Convert BSR to daily sales estimates
  • assets/research-spreadsheet.csv
    - Template for tracking research

Common Mistakes

  1. Selecting broad categories - "Fiction" or "Non-Fiction" = drowning in competition
  2. Not verifying for ghosts - Trust the KDP dropdown at your peril
  3. All eggs in one basket - Using all 3 slots on similar categories
  4. Ignoring comp research - Guessing instead of following proven paths
  5. Set and forget - Categories that worked last year may be saturated now

Related Skills

  • kdp-keyword-optimizer - Optimize the 7 backend keyword slots
  • book-description-writer - Write conversion-optimized descriptions
  • kdp-launch-checklist - Pre-publish validation

Category selection is a strategic decision. 3 slots, 27% ghosts, permanent choice. Research before you publish.