lvtd-llc/skills

book-sales-optimization

Optimize useful nonfiction book sales after the book is already working, including Amazon or retailer funnels, cover thumbnail clarity, store descriptions, authentic reviews, extra formats, pricing, upsells, piracy hooks, and fan engagement.

First seen Jun 21, 2026

Installation

$ npx skills add lvtd-llc/skills --skill book-sales-optimization

Summary

  • Optimize useful nonfiction book sales after the book is already working, including Amazon or retailer funnels, cover thumbnail clarity, store descriptions, authentic reviews, extra formats, pricing, upsells, piracy hooks, and fan engagement.
  • Use when improving a book product page, purchase funnel, format strategy, pricing, direct sales, or post-launch growth.

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.1.0
LicenseMIT
CompatibilityCodex, Claude Code, and other Agent Skills-compatible clients.
Declared agents claude-code codex
More metadata
version
0.1.0
displayName
Book Sales Optimization
category
Writing
tags
marketing,books,nonfiction,sales,pricing

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,424 B
  • docs SUMMARY.md 392 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 59 installs

SKILL.md

Book Sales Optimization

Core Lens

Sales optimization helps an already useful and recommendable book sell more. It should not be used to compensate for weak promise, poor reader experience, or missing seed audience.

Because retailer rules, royalty terms, advertising interfaces, and review policies change, verify current platform-specific guidance before giving precise operational instructions.

Reference Routing

Need Read
Core funnel and optimization concepts references/core/knowledge.md
Optimization rules and current-info caveats references/core/rules.md
Example audits and positioning patterns references/core/examples.md
Fast audit checklist references/core/checklist.md
Audit a retailer funnel workflows/audit-retailer-funnel.md

Workflow

1. Confirm Optimization Is The Right Lever

Check whether the book already has:

  • A specific reader promise.
  • Evidence of reader value.
  • Some traffic, search, audience, or word of mouth.
  • A retailer page, direct-sales page, or purchase path to improve.

If the book is not yet working, route to planning, reader experience, beta reading, or seed marketing first.

2. Audit The Purchase Funnel

Evaluate:

  • Thumbnail cover clarity.
  • Title and subtitle promise.
  • Review count and rating quality.
  • Store description.
  • Editorial review or endorsement fields.
  • Look-inside/sample pages.
  • Product images and author profile.

3. Improve Conversion Before Expanding Distribution

Start with the biggest controllable bottlenecks:

  • Make the promise legible at thumbnail size.
  • Rewrite the description around reader outcomes.
  • Use reader language from conversations and beta feedback.
  • Encourage authentic reviews without gaming policies.

4. Consider Percentage Boosts

Evaluate extra formats, platforms, partnerships, and support offers by:

Increased reach + increased profit
vs.
Time cost + financial cost + stress cost

5. Optimize Pricing And Relationship Value

Consider:

  • Standard ebook and paperback pricing norms.
  • Direct-sales bundles.
  • Complementary upsells.
  • The long-term value of a reader relationship.
  • Whether the book supports consulting, teaching, software, or services.

Output Format

Return:

  1. Main sales bottleneck.
  2. Funnel audit table.
  3. Highest-leverage changes, ordered by expected impact.
  4. Current-info checks needed for platform-specific details.
  5. Pricing, format, or upsell recommendations when relevant.
  6. Fan and reader-relationship opportunities.

Quality Bar

Recommendations should improve honest conversion and reader fit. Do not suggest fake reviews, misleading positioning, fake scarcity, policy violations, or tactics that reduce the book's standalone value.