An advanced AI-driven reading companion for managing highlights, automated tagging, and cross-book knowledge synthesis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reading-assistant-skill
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 reading-assistant-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 Reading Assistant?
Reading Assistant is a next-generation utility designed to help users build a structured personal knowledge base from their reading materials. By integrating with Openclaw Skills, this tool automates the tedious parts of note-taking, such as chapter identification and thematic tagging, allowing readers to focus on comprehension and insight. Whether you are using voice or text, the assistant captures content in real-time, processes it through deep analysis, and organizes it into a searchable local archive.
The tool serves as a bridge between passive consumption and active learning. It maintains a logical lifecycle for every book in your library, tracking your progress from the first page to the final summary. By leveraging local JSON storage and specialized Python scripts, it ensures your intellectual property remains under your control while providing the high-level search and statistical features typically found in premium SaaS platforms.
Reading Assistant Use Cases
- Rapidly capturing book highlights and spontaneous insights during reading sessions.
- Building a searchable and tagged personal knowledge base from various literary sources.
- Consolidating highlights from external devices like Kindle or WeChat Reading into a single source of truth.
- Generating professional reading reports and statistical summaries for personal growth tracking.
- Exporting curated study notes into Markdown or PDF formats for academic or professional use.
How Reading Assistant Works
- The user triggers the workflow by using the keyword Reading or related phrases.
- The assistant identifies the active book context via a current.json state file.
- Python-based parsers extract chapter information and metadata from the user's input.
- An AI engine performs intelligent tag extraction, identifying core concepts like cognitive biases or methodologies.
- Deep analysis is applied to the highlight to provide contextual meaning and practical application suggestions.
- The processed note is saved to a dedicated book file within the local directory structure for future search and export.
Reading Assistant Setup
To get started with this addition to your Openclaw Skills, ensure you have the necessary dependencies installed:
pip install python-dateutil==2.8.2
Create the required directory structure in your workspace:
mkdir -p ./reading-notes/books
touch ./reading-notes/current.json
Reading Assistant Data Schema & Taxonomy
The skill organizes data using a hierarchical JSON structure to ensure portability and ease of access:
| File/Folder | Description |
|---|---|
./reading-notes/current.json |
Stores the state of the currently active book session. |
./reading-notes/books/ |
Directory containing individual JSON files for every book managed. |
{book_name}.json |
Contains highlight content, chapter metadata, smart tags, and AI analysis. |
./reading-notes/exports/ |
Destination for generated Markdown, HTML, and PDF files. |
Reading Assistant Advanced Features
- Smart tag management with automatic deduplication and frequency-based sorting.
- Full-text search capabilities across your entire library using dedicated search scripts.
- Knowledge correlation discovery to find thematic links between different books.
- Batch import support for major e-reader platforms including Kindle and WeChat Reading.
- Automated multi-format exports with support for custom Markdown and HTML templates.
SKILL.md
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