markdown-new

Convert noisy HTML pages into clean Markdown for LLM use.

3|1|Updated May 21, 2026
One-click install
npx skills add https://github.com/qwwiwi/agentos-skills-public --skill markdown-new-qwwiwi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: markdown-new
Source: https://github.com/qwwiwi/agentos-skills-public/tree/main/skills/markdown-new
Command: npx skills add https://github.com/qwwiwi/agentos-skills-public --skill markdown-new-qwwiwi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of noisy, HTML-heavy webpage content that wastes tokens and makes LLM context preparation slow and error-prone.

Core Features & Use Cases

  • Clean Markdown extraction: Converts any URL into readable Markdown designed for LLM consumption, reducing irrelevant boilerplate.
  • Multiformat ingestion: Extracts content from webpages, PDFs, images (OCR), and audio (transcription) into Markdown-friendly output.
  • Web-fetch replacement: Use it when typical fetch methods return too much HTML noise or inconsistent formatting.

Quick Start

Prefix the target link with https://markdown.new/ and ask your AI to fetch the result as clean Markdown for analysis or writing.

Frequently Asked Questions about markdown-new

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a webpage to clean Markdown for LLM context?

To convert a webpage to clean Markdown, prefix the target URL with markdown.new to fetch the page and strip HTML noise, returning token-efficient Markdown content ready for LLM context injection.

What is the best way to extract text from a PDF into Markdown?

The best way to extract text from a PDF into Markdown is using the markdown.new URL prefix, which ingests PDF files and outputs clean, readable Markdown formatted for downstream LLM use.

Can I perform OCR on images and get Markdown output for research notes?

Yes, you can perform OCR on images to get Markdown output by processing the image link, which transcribes visual text content into clean Markdown suitable for building research notes.

Why does standard web fetching return too much HTML noise for LLMs?

Standard web fetching returns HTML noise because it captures raw boilerplate and tags, whereas markdown.new converts noisy HTML pages into token-efficient Markdown designed specifically for LLM consumption.

Does this markdown extraction method support audio and video transcription?

Yes, this markdown extraction method supports audio and video transcription, converting spoken content from multimedia sources into Markdown-friendly output for drafts and research notes.

How do I reduce tokens when preparing web content for LLM analysis?

To reduce tokens when preparing web content for LLM analysis, convert the noisy HTML page into clean Markdown using markdown.new, which removes irrelevant boilerplate and ensures token-efficient context preparation.