obsidian-defuddle

Extract clean markdown from web pages by removing clutter, navigation, and ads, which minimizes token usage in downstream AI tasks. This Skill parses standard HTML articles and outputs concise, token-efficient markdown suitable for knowledge bases or summaries.

Yes, extracting markdown from web content removes navigational noise and ads. It preserves essential metadata like title, description, and domain while discarding clutter, ensuring the output markdown is clean and optimized for AI processing.

The best way to convert long HTML articles into markdown for AI summaries is using a content extraction tool that strips clutter. This approach transforms lengthy articles into concise, token-efficient markdown, improving downstream AI processing efficiency.

Yes, you need Node.js and Defuddle CLI installed globally to extract markdown from URLs. This Skill relies on the Defuddle CLI to parse standard HTML pages and output markdown using the --md flag for AI-ready content extraction.

This web content extraction method is suitable for standard HTML pages like articles and blog posts. It is not designed for non-standard HTML pages, as its core logic targets clean markdown extraction from typical article structures to minimize token usage.

Web scraping for AI workflows requires clean markdown extraction to minimize token usage in downstream tasks. Removing clutter, navigation, and ads ensures that only essential content and metadata are processed, reducing costs and improving AI analysis accuracy.