fetch-reading

To convert web pages and PDFs into Markdown, you can use the fetch-reading skill to collect readings from URLs or local PDFs and store them as structured Markdown files. It supports general web documents, PDFs, and YouTube chapters for consistent offline access.

Yes, you can extract YouTube chapters as Markdown text. The fetch-reading skill specifically supports YouTube chapters, capturing them alongside general web documents and PDFs into Markdown format for easy ingestion into study guides.

You can batch extract multiple URLs into a weekly Markdown curriculum using the 'Week N' workflow. By running the fetch-reading command for a specific week, it gathers and stores all readings under a structured docs/week{N}/ directory.

Yes, fetch-reading supports hierarchical organization with parent and child slugs. You can specify a parent and child slug during extraction to organize readings hierarchically, and it includes options for subpage exploration.

The best way to prepare web content for a translation workflow is to extract it into Markdown. Fetch-reading collects readings from URLs or PDFs into Markdown files, offering an optional skip-translate flag and preparing content for subsequent localization.

To disable subpage exploration when extracting a single web document, append the --no-subpages flag to your fetch-reading command. This limits the extraction to the specified URL without crawling or storing optional child pages.