save-md

Saves a named source to Markdown with provenance and faithful extraction through direct export endpoints. Use when asked to "save this article", "get the markdown", "transcribe this", or "keep this so

SKILL.md

GitHub

Save as Markdown

Write the named source to a .md file, in full, and say where it is. The body comes from the fetched bytes, never from a summary.

  • IS: one named source (URL, attachment, paste, YouTube video, Google Doc, PDF) to one .md in the user's tree.
  • IS NOT: answering from a fetch, summarizing into chat, crawling beyond the URLs named, or reconstructing a talk from memory.

Done

A .md exists where the user can open it, with this frontmatter, and reading it back returns the source's last paragraph:

---
title: "<title>"
source: "<URL or path>"
date: "<date -u +%Y-%m-%dT%H:%M:%SZ, run now>"
type: web | youtube | gdoc | sheet | slides | pdf | docx | tweet | conversation
---

Fetch with curl -sSL -o <file> <url> and read the file. Prefer a text endpoint over HTML chrome. A missing file with a named reason (paywall, login wall, bot check, private doc) beats a plausible one.

File Read when
references/source-endpoints.md Always, for the URL's host: the tested endpoint, its curl line, the failure each one shows, and the opt-in fallback reader

Gotchas

  • WebFetch hands the page to a small model and returns its answer: a 1,200-word post came back as 120 words. Only Content-Type: text/markdown under 100K characters passes through intact.
  • oEmbed, GitHub ?raw=true, and Drive downloads redirect across hosts. Without -L you save an empty 301.
  • YouTube's "Sign in to confirm you're not a bot" is an IP block: --cookies-from-browser on a laptop, stop in a sandbox. The description is not the talk.
  • An empty .md next to a large PDF means a scan, not a blank document: render the pages and read them.

Maintenance only: evals/evals.json holds scenarios and routing prompts for anyone changing this skill.