How does this skill determine what content to keep?

The skill uses Mozilla's Readability algorithm, which analyzes the page structure to identify the main article body while ignoring non-essential elements like ads, menus, and footers.

What happens if an article title contains invalid filename characters?

The skill automatically sanitizes the title by removing disallowed characters and replacing spaces with underscores to create a valid and safe filename.

Can I specify where the Markdown file is saved?

Yes, you can specify a target directory for the output, or the skill will default to saving the file in your current working directory.

Does the Markdown file include images from the original page?

Yes, the conversion process preserves image tags and their alternative text, ensuring the Markdown version remains as informative as the original.

URL Reader Mode to Markdown

Name: URL Reader Mode to Markdown
Author: seefreed

byseefreed

Web Scraping & Data Collection

Transforms web URLs into clean, distraction-free Markdown files using reader-mode heuristics and automated filename sanitization.

About

This skill enables Claude to efficiently extract the primary article content from any web page, stripping away distracting elements like advertisements, navigation bars, and sidebars. By leveraging Mozilla's Readability algorithm and Turndown for HTML conversion, it produces high-quality Markdown that preserves headings, lists, and images. It is an essential tool for developers and researchers who need to archive web content, build local documentation libraries, or prepare web-based text for further AI analysis and processing.

Key Features

Extracts core article content while removing web clutter and noise
Converts HTML to structured Markdown preserving essential formatting
Supports custom output directories for organized content management
Automatically generates sanitized filenames based on the article title
0 GitHub stars
Utilizes Mozilla's Readability heuristics for high extraction accuracy

Use Cases

Gathering clean text from research articles for AI-assisted analysis
Converting technical blog posts into local documentation for offline reference
Archiving web-based tutorials and guides into a personal knowledge base

About

Key Features

Extracts core article content while removing web clutter and noise
Converts HTML to structured Markdown preserving essential formatting
Supports custom output directories for organized content management
Automatically generates sanitized filenames based on the article title
0 GitHub stars
Utilizes Mozilla's Readability heuristics for high extraction accuracy

Use Cases

Gathering clean text from research articles for AI-assisted analysis
Converting technical blog posts into local documentation for offline reference
Archiving web-based tutorials and guides into a personal knowledge base