kdp-image-reviewer

Review coloring book images for KDP compliance and quality.

1|1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/hoanghd218/aws-kdp --skill kdp-image-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kdp-image-reviewer
Source: https://github.com/hoanghd218/aws-kdp/tree/main/.claude/skills/kdp-image-reviewer
Command: npx skills add https://github.com/hoanghd218/aws-kdp --skill kdp-image-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the quality assurance and KDP compliance checks for generated coloring book images, ensuring they meet specific standards before book creation.

Core Features & Use Cases

  • Visual Inspection: Uses multimodal vision to review each image for quality, style, and compliance.
  • Technical Validation: Performs checks on image dimensions, grayscale mode, and file size.
  • Use Case: After generating 100 coloring pages for a children's book, use this Skill to quickly identify any images that have incorrect dimensions, are not grayscale, or contain unwanted artifacts, flagging them for regeneration.

Quick Start

Review all generated coloring pages for the 'fantasy-creatures' theme.

Frequently Asked Questions about kdp-image-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my coloring book images meet KDP compliance?

To check KDP compliance for coloring book images, you can automate the process using multimodal vision and technical validation to verify correct dimensions, grayscale mode, and file size.

How do I automate quality assurance for generated coloring book pages?

Automate quality assurance for generated coloring book pages by running scripts that apply technical checks using Python libraries like Pillow and visual inspection via Claude's vision capabilities to flag artifacts.

What is visual inspection for KDP coloring books and how does it work?

Visual inspection for KDP coloring books uses multimodal vision to review each image for quality, style, and compliance, identifying unwanted artifacts that require regeneration before book creation.

Can I use Python Pillow to validate coloring book image dimensions and grayscale mode?

Yes, you can use Python Pillow to perform technical validation of coloring book images, checking for correct dimensions and ensuring the files are strictly in grayscale mode for KDP compliance.

What are the limitations of multimodal vision for KDP image review?

The primary limitation of multimodal vision for KDP image review is its focus on coloring book images specifically, checking style criteria and artifacts rather than processing complex full-color interior layouts.