Agent skill · Data & Analytics

convert-excel-to-md

Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", "chart", or "analyze" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .xlsx content directly or write ad-hoc extraction code. Also us

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotships scriptsMIT
Install
npx skills add github/awesome-copilot --skill convert-excel-to-md --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 4
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/convert-excel-to-md/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Convert Excel to Markdown ## When to use this skill Trigger this skill any time there is a `.xlsx` file that needs to be understood or processed — for example, a user attaches a spreadsheet and asks questions about it, wants a summary of the data, wants specific rows or values pulled out, or wants multiple workbooks in a folder processed together. Excel's native `.xlsx` format is a zipped XML bundle that is not reliably readable as plain text, so always convert it to Markdown first using the script in this skill rather than trying to open or parse the file directly. This skill only supports `.xlsx`. If asked to convert a legacy `.xls` file, tell the user it isn't supported and ask them to re-save it as `.xlsx` (Excel: File > Save As > Excel Workbook (.xlsx)) first. **Mixed file types:** When the user references a folder or set of documents containing multiple supported file types (`.pdf`, `.docx`, `.xlsx`), this skill handles only `.xlsx` files. The agent MUST also invoke the sibling skills in parallel: - `convert-pdf-to-md` for any `.pdf` files - `convert-word-to-md` for any `.docx` files Never process a folder and silently skip a supported file type. All three skills must be in

What's inside
Steps it walks through
  1. When to use this skill
  2. Setup (once per environment)
  3. Usage
  4. Deciding where output goes
  5. Troubleshooting
Ships with 3 files
  • references/setup.md
  • scripts/convert_excel_to_md.py
  • scripts/requirements.txt
More from awesome-copilot
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About this skill
What does the convert-excel-to-md skill do?

Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file — even if they don''t say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", "chart", or "analyze" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Markdown first; do not attempt to parse .xlsx content directly or write ad-hoc extraction code. Also us

How do I install it?

Run `npx skills add github/awesome-copilot --skill convert-excel-to-md --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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