Markdown Fetch

Efficiently fetch web content as clean Markdown using the markdown.new service.

Why Use This

• 80% fewer tokens than raw HTML
• 5x more content fits in context window
• No external dependencies or parsing libraries needed
• Three-tier conversion (Markdown-first, AI fallback, browser rendering)

Triggering

This skill should trigger automatically when:

• User provides a URL (e.g., “Read https://example.com“)
• User asks to extract/fetch/analyze web content
• User requests summarization of a webpage
• User needs to process article/blog/documentation URLs

Quick Start

# Fetch any URL
scripts/fetch.sh "https://example.com"

# Use browser rendering for JS-heavy sites
scripts/fetch.sh "https://example.com" --method browser

# Retain images in output
scripts/fetch.sh "https://example.com" --retain-images

Typical Usage Patterns

When a user says:

• “Read this article: https://…” → Use this skill to fetch the content
• “Summarize https://…” → Fetch with this skill first, then summarize
• “What does this page say: https://…” → Fetch the content
• “Extract the text from https://…” → Use this skill

Conversion Methods

auto (default) – Try Markdown-first, fall back to AI or browser as needed
ai – Use Cloudflare Workers AI for conversion
browser – Full browser rendering for JS-heavy content

Options

--method <auto|ai|browser> – Conversion method
--retain-images – Keep image references in output
--output <file> – Save to file instead of stdout

Output

Returns clean Markdown with metadata:

---
title: Page Title
tokens: 725
---

# Content here...

When to Use

• Extracting articles, documentation, or blog posts
• Building RAG pipelines with web content
• Summarizing web pages
• Fetching content for analysis
• Converting sites to Markdown format

Implementation Notes

The service handles:

• Content negotiation (Accept: text/markdown)
• Cloudflare Workers AI conversion
• Browser rendering for dynamic content
• Automatic fallback between methods