Reading Notes is a specialized tool that converts reading insights into high-value knowledge assets through automated extraction and structural analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install leo-reading-notes
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 leo-reading-notes using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Reading Notes is a robust skill designed to bridge the gap between passive reading and active knowledge retention. By integrating with Openclaw Skills, it provides a seamless workflow for capturing book excerpts, verifying original sources, and organizing them into a structured digital library compatible with tools like Obsidian.
The skill emphasizes depth over breadth, mandating an internalization process that includes paraphrasing, root-cause questioning (5 Whys), and business impact analysis. This ensures that every note taken is not just a collection of words, but a functional asset for the user's professional and personal growth.
To deploy this skill within your environment, ensure you have the Openclaw Skills framework initialized and follow these steps:
# Navigate to your skills directory
cd workspace/skills/
# Create the reading-notes directory structure
mkdir -p reading-notes/{_templates,_pending,assets}
# Install the internal tracking script
chmod +x scripts/internalization_check.sh
The skill organizes data in a hierarchical file system optimized for Obsidian and other PKM tools:
| Directory | Purpose |
|---|---|
reading-notes/ |
Primary root for all stored data and the global README index |
_templates/ |
Stores book-readme.md and note-template.md for standardized formatting |
{Book_Name}/ |
Individual folders per book containing specific topic-based Markdown files |
_pending/ |
Contains internalization.md for tracking incomplete learning workflows |
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