Book to Skill for Openclaw

A meta-skill designed to automatically convert books and documents into structured, reusable AI agent skills.

shenshuo-03
v1.0.0
Mar 10, 2026
4
1.9k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install book-to-skill

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-to-skill 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 to Skill?

The Book to Skill tool is a specialized meta-skill that bridges the gap between static literary knowledge and actionable AI logic. By analyzing uploaded books in various formats, it identifies core methodologies, mental models, and practical frameworks to generate a standardized SKILL.md file. This allows developers to rapidly expand their library of Openclaw Skills by leveraging established theories and expert knowledge found in professional literature.

This skill focuses on the principle that concise is key, ensuring that the extracted information is actionable and optimized for AI agent consumption. Whether you are processing a technical manual or a philosophical treatise, this tool automates the structural mapping required to turn text into an executable prompt component.

Book to Skill Use Cases

  • Converting professional management books into leadership coaching workflows.
  • Extracting first-principles thinking frameworks for specialized problem-solving agents.
  • Turning technical documentation into troubleshooting guides for Openclaw Skills.
  • Rapidly prototyping new agent capabilities based on recent academic or industry publications.
  • Organizing personal knowledge from EPUB or PDF collections into a functional skill library.

How Book to Skill Works

  1. Content Ingestion: The system reads the uploaded book (PDF, EPUB, TXT, etc.) using format-specific extraction tools like pdf-skill or specialized Python libraries.
  2. Semantic Analysis: It analyzes the text to extract core themes, key concepts, specific methodologies, and step-by-step practice instructions.
  3. Template Selection: Based on the content type, it selects an appropriate structure—either a methodology-based, mental model-based, or integrated template.
  4. Skill Generation: It generates the directory structure, including the YAML frontmatter and the core Markdown content for the new skill.
  5. Review and Save: The user reviews the generated output, and the skill is saved to the local directory for immediate deployment within the Openclaw Skills ecosystem.

Book to Skill Setup

To begin using this meta-skill, ensure your environment has access to the necessary document parsing libraries and the core skill directory is configured.

# Install necessary parsers if not present
pip install eput-parser mobi-python python-docx

# Clone or add the book-to-skill folder to your agent path
# Use the skill by uploading a file and triggering the extraction prompt

Book to Skill Data Schema & Taxonomy

The skill generates a structured directory for every book processed, ensuring compatibility with other Openclaw Skills.

File/Folder Purpose Content
SKILL.md Core Logic Contains name, description, and methodology sections.
YAML Frontmatter Metadata Defines the skill name and operational triggers.
references/ Extended Data Optional directory for case studies and examples.
detailed_methods.md Reference Found in references, provides in-depth framework explanations.

Book to Skill Advanced Features

  • Multi-format support covering PDF, EPUB, MOBI, DOCX, and Markdown.
  • Automated template switching between methodology-focused and mindset-focused skill structures.
  • Intelligent naming convention support to ensure valid, slug-friendly directory names.
  • Optimization for concise output to ensure the resulting Openclaw Skills remain token-efficient.
  • Support for optional reference directories to house complex case studies and examples.

SKILL.md


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