KDP Generator is a comprehensive toolset for Openclaw Skills designed to automate the creation, design, and metadata generation for Amazon KDP books.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kdp-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install kdp-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is KDP Generator?
KDP Generator is an advanced framework within the Openclaw Skills ecosystem that empowers creators to produce high-quality Amazon KDP compatible books with minimal manual effort. Whether you are converting Markdown manuscripts into professional EPUB e-books or mass-producing low-content books like journals and planners, this skill provides the necessary scripts to handle the heavy lifting.
By leveraging automated PDF generation, AI-driven cover design prompts, and intelligent metadata extraction, KDP Generator ensures your publishing workflow is efficient and SEO-optimized for the Amazon marketplace. It bridges the gap between content creation and technical publishing requirements, allowing developers and authors to focus on their creative vision while the Openclaw Skills handle the technical formatting and packaging.
KDP Generator Use Cases
- Automating the creation of low-content books such as guided journals, daily planners, and gratitude journals for passive income.
- Converting existing Markdown documentation or manuscripts into Amazon-ready EPUB files.
- Generating AI image prompts specifically tailored for Midjourney or other AI tools to create high-conversion book covers.
- Batch producing multiple book variants for niche market testing using Openclaw Skills automation.
- Organizing book metadata including keywords, categories, and pricing strategies for better search visibility.
How KDP Generator Works
- Intent Capture: The skill identifies whether the user wants to create a standard e-book or a low-content interior.
- Requirement Gathering: Through a brief interview process, it determines book titles, page counts, and specific styles.
- Initialization: The system selects the appropriate template (e.g., guided_journal, workbook, or markdown-to-epub).
- Asset Generation: Python scripts generate the interior PDF or EPUB file and create AI prompts for the cover art.
- Metadata Packaging: The skill compiles a JSON file containing SEO keywords, categories, and descriptions for KDP upload.
- Validation: An evaluation loop confirms the output meets KDP technical specifications before the final export.
KDP Generator Setup
To get started with this component of Openclaw Skills, ensure you have the required Python dependencies installed:
# Install core dependencies for PDF and EPUB generation
pip install reportlab pillow ebooklib beautifulsoup4 markdown
# For Linux users, ensure CJK fonts are available for multi-language support
sudo apt-get install fonts-noto-cjk
KDP Generator Data Schema & Taxonomy
The KDP Generator organizes every project into a structured output directory to ensure all assets required for Openclaw Skills publishing are easily accessible:
| File | Description | Purpose |
|---|---|---|
interior.pdf / .epub |
The core book content | Primary upload file for Amazon KDP |
cover_prompt.md |
AI-optimized prompts | Used to generate cover art in Midjourney/DALL-E |
metadata.json |
SEO & Listing data | Contains title, keywords, and category selections |
production_list.md |
Batch summary | Tracks status for multi-book publishing runs |
KDP Generator Advanced Features
- Batch Production Pipeline: Use
batch_create_books.pywith a JSON configuration to generate dozens of unique books in a single run. - AI Cover Strategy: Automated generation of styles like minimalist, watercolor, or 3D render with built-in bleed and margin considerations.
- Eval Loop Integration: Built-in testing system to measure productivity gains, showing up to 3.4x faster production compared to manual methods.
- Custom Interior Logic: Programmable daily prompt cycles for journals, including weekly reviews and monthly summaries.
SKILL.md
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