- name
- summarize
- description
- Fetch a URL or convert a local file (PDF/DOCX/HTML/etc.) into Markdown using `uvx markitdown`, optionally it can summarize
Turn “things” (URLs, PDFs, Word docs, PowerPoints, HTML pages, text files, etc.) into **Markdown** so they can be inspected/quoted/processed like normal text.
`markitdown` can fetch URLs by itself; this skill mainly wraps it to make saving + summarizing convenient.
For PDF inputs, use the `markitdown[pdf]` extra (or the wrapper below, which now does this automatically).
## When to use
Use this skill when you need to:
- pull down a web page as a document-like Markdown representation
- convert binary docs (PDF/DOCX/PPTX) into Markdown for analysis
- quickly produce a short summary of a long document before deeper work
## Quick usage
### Convert a URL or file to Markdown
Run from **this skill folder** (the agent should `cd` here first):
```bash
uvx --from 'markitdown[pdf]' markitdown <url-or-path>
```
To write Markdown to a temp file (prints the path) use the wrapper:
```bash
node to-markdown.mjs <url-or-path> --tmp
```
Tip: when summarizing, the script will **always** write the full converted Markdown to a temp `.md` file and will **always** print a final "Hint" line with the path (so you can open/inspect the full content).
Write Markdown to a specific file:
```bash
uvx --from 'markitdown[pdf]' markitdown <url-or-path> > /tmp/doc.md
```
### Convert + summarize with haiku-4-5 (pass context!)
Summaries are only useful when you provide **what you want extracted** and the **audience/purpose**.
```bash
node to-markdown.mjs <url-or-path> --summary --prompt "Summarize focusing on X, for audience Y. Extract Z."
```
Or:
```bash
node to-markdown.mjs <url-or-path> --summary --prompt "Focus on security implications and action items."
```
This will:
1) convert to Markdown via `uvx --from 'markitdown[pdf]' markitdown`
2) write the full Markdown to a temp `.md` file and print its path as a "Hint" line
3) run `pi --model claude-haiku-4-5` (no-tools, no-session) to summarize using your extra prompt
Auf GitHub ansehen