A powerful CLI tool and AI agent skill to extract, save, and organize web articles offline in Markdown, PDF, and EPUB formats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install read-later-pro
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 read-later-pro 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 Read Later Pro?
Read Later Pro is a comprehensive terminal-based command-line interface and automation skill designed to help developers and power users curate their own offline knowledge bases. By extracting clean, distraction-free article content directly from any URL, the tool strips away ads, banners, and scripts, leaving only high-quality readable text. This tool is part of the broader registry of Openclaw Skills, empowering users to integrate offline reading workflows directly into their local environments or AI assistant setups.
With native support for popular export formats like Markdown, PDF, EPUB, and HTML, this skill bridges the gap between web consumption and personal knowledge management. Whether you want to back up web content, prepare reading material for e-readers, or pipe cleaned markdown content straight into AI pipelines, this tool delivers structured, reliable offline access to the web's best articles.
Read Later Pro Use Cases
- Offline Knowledge Management: Build a local database of technical articles and documentation in Markdown format for offline study or personal knowledge bases.
- Distraction-Free Reading: Convert cluttered web pages into clean PDFs, EPUBs, or HTML files to enjoy reading without ads, banners, and cookie popups.
- AI RAG & Pipeline Feeding: Feed clean, structured Markdown text from web articles directly into AI tools, search indexes, or language models.
- Read-Later Syncing: Migrate or back up articles from popular services like Pocket or Instapaper to keep a permanent offline copy of your bookmarks.
- Batch Document Archival: Bulk-save a list of URLs from bookmarks or text files to build a targeted research library instantly.
How Read Later Pro Works
- Article Extraction: The user provides a URL or list of URLs. The skill crawls the webpage, bypassing distractions to retrieve the core text, main images, and key metadata.
- Format Conversion: The extracted content is transformed into the user's preferred format—Markdown, PDF, HTML, or EPUB—using local script adapters.
- Structured Storage: Captured articles are saved in organized directories with clear naming, downloading images locally for real-world offline reliability, alongside a
metadata.jsonfile. - Organization and Search: Users can categorize, tag, and perform full-text searches across saved articles using built-in command-line tools.
- Archive & Sync: Old articles are easily archived, deleted, or synchronized back and forth with third-party bookmarking services.
Read Later Pro Setup
Installation and Usage
To install and start utilizing this utility within your Openclaw Skills workspace, clone or copy the script tools to your project path and run the command-line utility.
# Verify the command-line interface is available
read-later --help
# Save an article as clean Markdown in your destination directory
read-later save <url> --format markdown --output ./articles/
# Save an article as a PDF with metadata tags
read-later save <url> --format pdf --tags "tech,ai" --output ./articles/
Setting up Pocket or Instapaper Integrations
# Import your current reading list from Pocket
read-later import-pocket --consumer-key <key> --access-token <token>
# Import your current reading list from Instapaper
read-later import-instapaper --username <user> --password <pass>
Read Later Pro Data Schema & Taxonomy
Article Storage Architecture
Articles are structured into isolated subdirectories named after the article slug inside the output folder.
| File / Directory | Description |
|---|---|
article-slug/ |
Container folder generated for each individual saved web article. |
article.md |
Main parsed article text, clean and structured in Markdown. |
article.pdf |
Generated PDF file (if PDF format was requested during extraction). |
metadata.json |
Stores article metadata, including original Title, URL, Date, and user-assigned tags. |
images/ |
Subfolder containing downloaded images from the article, guaranteeing true offline rendering. |
Metadata JSON Taxonomy
The metadata.json stores details to facilitate advanced search query indexing:
title: Extracted title of the article.url: Original URL source.saved_at: Timestamp indicating when the content was captured.tags: Array of string tags assigned manually or imported from other services.word_count: Total parsed word count of the main content body.
Read Later Pro Advanced Features
- Experimental Paywall Bypass: Use the
--full-contentflag to attempt bypassing paywalls and capturing complete articles from restricted domains. - Local Asset Portability: Downloads and stores images locally within the article structure to enable true offline viewing without hotlinking.
- Multi-Format Batch Converter: Effortlessly convert previously stored Markdown articles to high-quality EPUB or PDF files using the built-in
convert_format.pyutility. - Hierarchical Tagging: Organize large article catalogs using nested tagging schemes such as
tech/aiortech/programming. - Scriptable Workflows: Developers can build automations using direct script access to
extract_article.pyormanage_library.pyto embed offline reading capabilities into modern custom pipelines.
SKILL.md
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