Convert-Excel-To-Md
Convert-Excel-To-Md is an code AI skill with a core value of Converts Excel (. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
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
Quick Facts
mkdir -p ./skills/convert-excel-to-md && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/convert-excel-to-md/SKILL.md -o ./skills/convert-excel-to-md/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# 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 invoked together when mixed types are present.
Setup (once per environment)
Before the first conversion in a given environment, follow
[`references/setup.md`](references/setup.md) step by step to ensure Python,
pip, and the `markitdown` package are installed. Do this proactively rather
than guessing whether the environment is ready — the script itself will
also fail with a clear pointer back to that file if `markitdown` turns out
to be missing, so it's safe to just try the conversion first if you're
reasonably confident setup was already done.
Usage
The conversion script lives at `scripts/convert_excel_to_md.py`.
**Output structure:** MarkItDown's XLSX converter renders each sheet as its
own `## <SheetName>` Markdown table — it has no support for embedded images
at all. This script separately extracts real embedded images (raster
pictures, not charts) and maps them to the sheet they belong to, writing a
self-contained folder per document:
<name>/
img/
sheet001_<sheetname>_img001.<ext>
sheet002_<sheetname>_img001.<ext>
...
<name>.md (each sheet's images appear right after its table,
under a "#### Images in this sheet" heading)This is per-sheet placement, not exact cell position — the finest
granularity MarkItDown's stable output anchors (the `## <SheetName>`
headings) allow. If a workbook has no embedded images, no `img/` folder or
image sections are created. Native Excel **charts** are not extracted as
images (only actual embedded pictures are — charts would need to be
rendered by Excel/LibreOffice, which this lightweight skill does not do).
**Single file:**
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx"This creates a `workbook\` folder next to the source file (containing
`workbook.md` and, if present, `workbook\img\`). To control the destination
folder explicitly:
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx" -o "C:\path\to\output_folder"**A folder of workbooks (batch mode):**
python scripts\convert_excel_to_md.py "C:\path\to\folder"Add `--recursive` to also include subfolders:
python scripts\convert_excel_to_md.py "C:\path\to\folder" --recursiveEach `.xlsx` found gets its own `<name>\` output folder next to it by
default. Pass `-o "C:\path\to\output_parent"` to collect all the generated
`<name>\` folders under a separate parent directory instead (subfolder
structure is preserved when combined with `--recursive`).
After conversion, read the resulting `.md` file(s) to perform the actual
analysis the user asked for — the script's job is only to produce accurate
Markdown (and images), not to interpret the content.
Deciding where output go
🎯 Best For
- Data analysts
- Business intelligence teams
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Finding patterns in customer data
- Creating automated dashboards
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Convert-Excel-To-Md to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this connect to my database directly?
Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.
Is Convert-Excel-To-Md compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Convert-Excel-To-Md?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Convert-Excel-To-Md?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/convert-excel-to-md/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not validating data quality
AI analysis is only as good as your input data. Profile and clean data before analysis.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.