Extract clean markdown content from web pages via Defuddle CLI.
npx skills add https://github.com/ValorVie/custom-skills --skill defuddle-valorvie
Please help me install this Agent Skill. Skill: defuddle Source: https://github.com/ValorVie/custom-skills/tree/main/skills/defuddle Command: npx skills add https://github.com/ValorVie/custom-skills --skill defuddle-valorvie
Extract clean markdown content from web pages using Defuddle CLI, removing navigation, ads, and clutter to save tokens. Use instead of WebFetch for standard web pages—documentation, articles, blogs, or any page you want in a clean, readable format.
Run defuddle parse <url> --md to generate clean markdown of the page.
High-intent search queries and answers about installing and using this skill.
Defuddle extracts clean markdown from web pages by removing navigation, ads, and clutter, making it ideal for documentation and blogs where token efficiency matters. It outputs readable content without unnecessary noise.
You need web content extraction when processing standard pages like documentation or blogs and want to minimize token usage. It strips non-essential elements, providing clean markdown that is more efficient for AI summarization.
Yes, you can output extracted web page content as JSON or HTML. While the tool outputs markdown by default using the --md flag, it can also emit JSON or HTML formats depending on your specified parameters.
Yes, you must install Defuddle on your system before parsing web pages into markdown. The Skill relies on the Defuddle CLI to execute the extraction commands and return the cleaned content.
The best way to summarize documentation or blog posts for AI processing is to extract the clean markdown content first. Removing page noise ensures the AI receives only the core text, optimizing token efficiency and summarization accuracy.
AcosmiFetch web pages via HTTP GET and extract readable content in markdown, text, or raw modes.
AbilityaiGenerate long-form articles from knowledge base notes with tone and structure templates.
HemantSudarshanOptimizes LLM context windows by summarizing, prioritizing, and selectively trimming content.
benjaminjacksonFind similar web content from a URL with optional summaries and filters.
