Reading List Skill for Openclaw

An intelligent reading management system that tracks progress, generates AI summaries, and provides smart content recommendations.

yang1002378395-cmyk
v1.0.0
Mar 11, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install reading-list

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 reading-list 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 List Skill?

The Reading List Skill is a powerful addition to the Openclaw Skills ecosystem designed for users who need to manage high volumes of information efficiently. It moves beyond simple bookmarking by providing an active tracking system that monitors reading status, estimates completion times, and organizes content by priority and category.

This skill leverages AI to assist in the learning process by automatically extracting key takeaways and summaries from articles. Whether you are dealing with technical documentation, PDFs, or Markdown files, this skill acts as a personal librarian that ensures your most important reading materials never fall through the cracks while providing insightful analytics on your consumption habits.

Reading List Skill Use Cases

  • Technical Learning: Curating and managing deep-dives into technical articles and documentation.
  • Industry Research: Collecting and synthesizing industry reports and news trends for professional growth.
  • Content Creation: Organizing source materials and references for blog posts or research papers.
  • Knowledge Management: Building a structured personal knowledge base with automated syncing to tools like Notion.
  • Team Collaboration: Sharing curated reading lists and essential resources with team members.

How Reading List Skill Works

  1. Content Ingestion: The user provides a URL, PDF, or Markdown file to the agent via natural language commands.
  2. Metadata Extraction: The skill analyzes the source to determine reading time, category, and initial priority.
  3. Progress Monitoring: As the user interacts with the content, the skill updates progress percentages (e.g., 30% read) and logs time spent.
  4. AI Synthesis: Upon request, the agent generates summaries and extracts key concepts from the stored items.
  5. Reporting & Optimization: The skill provides weekly statistics and smart recommendations for future reading based on historical interest.

Reading List Skill Setup

To enable the Reading List Skill within your environment, ensure you have the core framework installed and then add the skill configuration.

# Navigate to your workspace
cd ~/.openclaw/workspace

# The skill stores data automatically in the memory directory
# No additional binary installation is required if the core agent is active.

You can verify the setup by sending a command to your agent:

# Test the skill activation
"Show my reading list"

Reading List Skill Data Schema & Taxonomy

The skill maintains a persistent state using a structured JSON format to ensure portability and easy backup.

Field Description Type
title The title of the article or document String
url Source location (URL or local path) String
status Current state (To Read, In Progress, Completed) Enum
progress Completion percentage Number (0-100)
tags User-defined or AI-generated categories Array
summary AI-extracted key points and concepts Object

Data is stored at: ~/.openclaw/workspace/memory/reading-list.json.

Reading List Skill Advanced Features

  • Multi-Source Support: Seamlessly handles URLs, local PDF uploads, and Markdown files.
  • External Integrations: Supports exporting notes and reading lists to Notion and Obsidian.
  • Smart Reminders: Automated scheduling to remind users of high-priority unread items.
  • Automated Summarization: One-click extraction of core insights and key concepts from long-form content.
  • Visual Analytics: Detailed statistics on reading duration, completion rates, and monthly trends.

SKILL.md


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