Extract clean markdown content from web pages by removing clutter.
npx skills add https://github.com/caitengwei/my-skills --skill defuddle-caitengwei
Please help me install this Agent Skill. Skill: defuddle Source: https://github.com/caitengwei/my-skills/tree/main/obsidian-skills/skills/defuddle Command: npx skills add https://github.com/caitengwei/my-skills --skill defuddle-caitengwei
Web pages often include navigation, ads, and clutter that waste context tokens and make reading or analysis harder.
Use the defuddle skill to extract clean markdown from a URL like this: parse https://example.com --md.
High-intent search queries and answers about installing and using this skill.
To extract clean markdown from a web page, parse the URL to remove navigation and ads, producing token-efficient text. This strips clutter, leaving readable markdown suitable for downstream summarization and note-taking.
Yes, you can extract specific metadata fields like title, description, and domain from a URL. By using parameterized properties, it pulls only key details instead of generating full markdown content, optimizing token usage.
The best way to save tokens when summarizing articles is removing irrelevant page elements like ads before processing. This focused content extraction prevents context window bloat, ensuring downstream analysis uses only meaningful text.
Defuddle works with technical documentation, blog posts, and general web pages. It applies CLI parsing to remove clutter and output readable markdown, making it effective for extracting focused content from various online sources.
You pull readable content from a URL by parsing it with markdown output requirements. This removes navigation and ads, transforming messy HTML into clean, focused text optimized for token-efficient analysis.
tc9011Extract clean markdown content from web pages using the Defuddle CLI.
atro2829-hubCondense study materials into a two-column PDF cheat sheet.
CodingHeaderExtract web page content into markdown, JSON, or text outputs.
winsorllcFetch and parse web content from specified URLs.
