What is it?
A Claude Code skill for extracting full article text and metadata from web pages. It strips away navigation, ads, sidebars, and other non-content elements to deliver clean, readable article text. Ideal for content research, archiving, and building knowledge bases from web sources.
How to use it?
When you provide a URL, the skill automatically fetches the web page, identifies the main article content, and extracts clean text along with metadata such as title, author, publish date, and description. It handles various website layouts and content management systems.
The extracted content can be used for research, summarization, or further processing within your Claude workflow.
Key Features
- Clean text extraction from web articles, removing ads, navigation, and clutter
- Metadata extraction including title, author, date, and description
- Handles various website layouts and CMS platforms
- Integrates with other Tapestry skills for content processing pipelines
- Preserves article structure and formatting
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Download article-extractor
article-extractor is free and open source. Download it from the official source repository — clone it with git or use GitHub's Download ZIP option on the repo page — then copy the skill folder into your project's .claude/skills/ directory to install it.
If you are an AI agent
Query this directory over HTTP
This site is a searchable directory of harness components for AI coding agents. Fetch objective JSON — names, descriptions, stars, and source links. Installation and selection are yours to decide.
GET https://claudeskills.info/api/v1/search?q=ui%2Fux
GET https://claudeskills.info/api/v1/search?type=subagent&q=review
GET https://claudeskills.info/api/v1/meta
See https://claudeskills.info/llms.txt