A powerful utility to generate non-truncated, comprehensive book summaries including deep-dive narratives on key concepts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install book-sum
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install book-sum using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Book Sum is a specialized tool designed for the Openclaw Skills ecosystem that goes beyond surface-level synopses. It empowers AI agents to process book data and output exhaustive summaries that retain the original depth of the content, ensuring no information loss through truncation.
By leveraging this skill, developers can integrate high-fidelity literary analysis into their workflows. It specifically focuses on extracting the core narrative of a book while highlighting three foundational ideas and providing users with structured, actionable insights that can be applied immediately to their professional or personal lives.
To integrate this capability into your project, install the package via the Openclaw Skills hub CLI:
clawhub install book-sum
Once installed, you can initialize the skill in your JavaScript environment:
const BookSumSkill = require('book-sum');
const skill = new BookSumSkill();
The Book Sum skill organizes output into a structured format to ensure consistency across different titles. The generated metadata and content follow this taxonomy:
| Field | Description |
|---|---|
| Full Summary | The complete, non-truncated narrative of the book's contents. |
| Key Ideas | A collection of 3 specific pillars from the book with deep-dive explanations. |
| Actionable Takeaways | A bulleted list of practical applications derived from the text. |
| Overview | A high-level comprehensive summary for quick reference. |
generateTextSummary for seamless integration into multi-agent workflows.Loading
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