What types of web content can this skill summarize?

It can summarize almost any web page, with specialized templates for research papers, news articles, tutorials, product pages, and AI-related news.

Does it support multiple languages?

Yes, it supports triggers and content in both English and Chinese, making it ideal for international research and content consumption.

Can I save the summaries to my local machine?

Yes, you can use the optional --output parameter to save the generated Markdown summary directly to a file instead of printing it to the terminal.

What happens if the primary web conversion fails?

The skill includes a robust fallback mechanism that automatically retries using a local Python-based extraction method if services like Jina or Firecrawl are unavailable.

How do I trigger the summarization process?

You can simply provide a URL with keywords like 'summarize', '总结', or '摘要' in your prompt to Claude.

AI Web Summarizer & Content Extractor

Name: AI Web Summarizer & Content Extractor
Author: breezedeus

bybreezedeus

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Web Scraping & Data Collection

Summarizes web pages and documents into structured, type-specific Markdown reports using adaptive AI detection.

The docai-web2summary skill streamlines the process of digesting online information by automatically converting any web URL into a concise, structured summary. It intelligently identifies the content type—ranging from scientific papers and technical tutorials to news and product pages—and applies a matching organizational template to ensure the most relevant information is captured. By leveraging powerful conversion tools like Jina and Firecrawl with a robust Python fallback, it provides developers and researchers with an efficient way to extract insights from the web directly within their terminal environment.

Key Features

01Adaptive structured summaries based on content context

02Automatic content type detection for papers, news, tutorials, and products

03Bilingual support for English and Chinese processing

04Multi-engine URL-to-Markdown conversion (Jina, Firecrawl, and Python)

054 GitHub stars

06Local file output support for saving summaries as Markdown

Use Cases

01Extracting core technical concepts from lengthy documentation or blog tutorials

02Quickly digesting research papers from arXiv to understand methodology and results

03Generating brief summaries of industry news and product announcements

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add breezedeus/docai-skills docai-web2summary

For use in Claude.ai and ChatGPT

Download Skill