Files
awesome-copilot/plugins/convert-to-md
Willie Yao e4a1f57fd9 feat: add convert-excel-to-md, convert-pdf-to-md, and convert-word-to-md skills (#2294)
* feat: add convert-excel-to-md, convert-pdf-to-md, and convert-word-to-md skills

Add three new agent skills that convert common document formats to Markdown
using bundled Python scripts powered by MarkItDown:

- convert-excel-to-md: Converts .xlsx workbooks to Markdown with per-sheet
  tables and embedded image extraction via a bundled Python script.
- convert-pdf-to-md: Converts .pdf documents to Markdown with text/table
  extraction and embedded image extraction via PyMuPDF.
- convert-word-to-md: Converts .docx documents to Markdown with proper
  image extraction replacing MarkItDown's base64 placeholders.

Each skill includes:
- SKILL.md with detailed usage instructions, output structure docs, and
  a troubleshooting table
- scripts/ with the conversion Python script and requirements.txt
- references/setup.md with environment setup instructions

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: remove Markdown image syntax from convert-word-to-md SKILL.md

The CI valid-refs linter flagged the literal Markdown image syntax
containing a data URI as an invalid file reference. Replaced it with
a plain text description of the placeholder format.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* fix: update pip install command to use scripts/requirements.txt for setup

* fix: clarify installation instructions for requirements-file in setup documentation

* fix: correct indentation in image extraction function

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* feat: add comprehensive documentation and setup instructions for convert-to-md skills

* fix: add trailing slashes to skill paths in plugin.json

* fix: reorder skills in plugin.json for consistency

* fix: update plugin.json and README.md for clarity and consistency

* feat: add convert-to-md plugin and update related documentation

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* fix: enhance conversion skills to handle mixed file types and improve error handling

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-07-16 09:06:49 +10:00
..

Convert to Markdown Plugin

A collection of Copilot skills that convert common document formats into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Just tell Copilot what you need — the right skill is invoked automatically and the conversion happens behind the scenes.

Installation

copilot plugin install convert-to-md@awesome-copilot

What's Included

This plugin includes Word, Excel, and PDF conversion skills, detailed below.

Source

This plugin is part of Awesome Copilot.

Skills

convert-word-to-md

Converts Word (.docx) documents to Markdown. Use it any time you want to read, summarize, review, compare, or extract information from a .docx file — even if you don't say "convert" explicitly.

"Summarize this Word document." "Extract all the action items from report.docx." "Compare these two contracts."

convert-excel-to-md

Converts Excel (.xlsx) workbooks to Markdown, rendering each sheet as a table. Use it any time you want to analyze, query, or summarize data in a spreadsheet — single file or a whole folder at once.

"What are the top 5 rows by revenue in this spreadsheet?" "Summarize all the worksheets in this workbook." "Process every Excel file in this folder."

convert-pdf-to-md

Converts PDF (.pdf) documents to Markdown, extracting both text and embedded images. Use it any time you want to read, summarize, or pull data from a PDF report, invoice, paper, or form.

"Summarize this PDF." "Extract all the dates mentioned in this contract." "Process all the PDFs in this folder."

License

MIT