Book Cover Generation for Openclaw

An AI-driven design tool for generating professional, genre-optimized book and ebook covers via the each::sense API.

eftalyurtseven
v1.0.0
Feb 20, 2026
0
407
3

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install book-cover-generation

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install book-cover-generation 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 Book Cover Generation?

The Book Cover Generation skill leverages the each::sense API to transform text descriptions into high-quality visual artwork tailored for the publishing industry. This Openclaw Skills integration allows developers and authors to automate the creation of book covers, ebook thumbnails, and square audiobook art by specifying genre-specific aesthetics, lighting, and composition needs.

By utilizing advanced AI models, the skill ensures that generated designs adhere to market conventions—whether it is the dark, moody atmosphere of a thriller or the clean, minimalist look of a professional business book. It provides a programmatic way to generate assets that are ready for digital marketplaces or further refinement for print.

Book Cover Generation Use Cases

  • Rapid prototyping of cover concepts for indie authors and publishers.
  • Generating series-consistent artwork using session-based memory for visual branding.
  • Creating platform-specific assets such as square 1:1 audiobook covers or digital-optimized ebook thumbnails.
  • Automating the design workflow for high-volume publishing houses or marketing agencies through Openclaw Skills.

How Book Cover Generation Works

  1. The user provides a detailed prompt describing the book title, author name, genre, mood, and specific imagery requirements.
  2. The skill sends a structured POST request to the each::sense API endpoint including the prompt and desired performance mode.
  3. For book series or iterative design, a session_id is utilized to maintain visual style and character consistency.
  4. The AI interprets genre conventions and lighting requirements to produce a high-resolution design.
  5. The skill returns the generated artwork, allowing for immediate review or further refinement via multi-turn conversation.

Book Cover Generation Setup

To integrate this capability with Openclaw Skills, you must first obtain an API key from EachLabs. Set your environment variable and use the following configuration:

export EACHLABS_API_KEY="your_api_key_here"

You can then generate a cover with a simple API call:

curl -X POST "https://sense.eachlabs.run/chat" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "message": "Create a sci-fi book cover with a futuristic city and neon accents.",
    "mode": "max"
  }'

Book Cover Generation Data Schema & Taxonomy

The skill organizes its requests and metadata through a specific JSON schema to ensure high-quality output. The following parameters are used:

Parameter Type Description
message String Detailed prompt including mood, genre, and typography space instructions.
mode String max for production-ready quality; eco for rapid concept drafts.
session_id String Key used to maintain visual consistency across multiple requests.
Accept Header Set to text/event-stream for real-time generation updates.

Book Cover Generation Advanced Features

  • Visual Series Continuity: Leverage the session_id to maintain identical color palettes and styles across multiple volumes in a series.
  • Typography Planning: Explicitly define negative space in prompts to ensure generated images accommodate titles and author names.
  • Dual-Mode Optimization: Choose between Max mode for print-ready assets and Eco mode for cost-effective experimentation.
  • Genre-Specific Presets: Optimized for a wide array of genres including Thriller, Romance, Sci-Fi, and Non-Fiction through Openclaw Skills logic.

SKILL.md


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