Markdown converter

Skill ComeOnOliver/skillshub/skills/intellectronica/agent-skills/markdown-converter

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Install

npx -y skills add ComeOnOliver/skillshub --skill markdown-converter

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What its author says it does

Copied from the file, not written here

Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.

SKILL.md

1.9 KB, as published. Nobody here has run it

Markdown Converter

Convert files to Markdown using uvx markitdown — no installation required.

Basic Usage

# Convert to stdout
uvx markitdown input.pdf

# Save to file
uvx markitdown input.pdf -o output.md
uvx markitdown input.docx > output.md

# From stdin
cat input.pdf | uvx markitdown

Supported Formats

Documents: PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls)
Web/Data: HTML, CSV, JSON, XML
Media: Images (EXIF + OCR), Audio (EXIF + transcription)
Other: ZIP (iterates contents), YouTube URLs, EPub

Options

-o OUTPUT      # Output file
-x EXTENSION   # Hint file extension (for stdin)
-m MIME_TYPE   # Hint MIME type
-c CHARSET     # Hint charset (e.g., UTF-8)
-d             # Use Azure Document Intelligence
-e ENDPOINT    # Document Intelligence endpoint
--use-plugins  # Enable 3rd-party plugins
--list-plugins # Show installed plugins

Examples

# Convert Word document
uvx markitdown report.docx -o report.md

# Convert Excel spreadsheet
uvx markitdown data.xlsx > data.md

# Convert PowerPoint presentation
uvx markitdown slides.pptx -o slides.md

# Convert with file type hint (for stdin)
cat document | uvx markitdown -x .pdf > output.md

# Use Azure Document Intelligence for better PDF extraction
uvx markitdown scan.pdf -d -e "https://your-resource.cognitiveservices.azure.com/"

Notes

Output preserves document structure: headings, tables, lists, links
First run caches dependencies; subsequent runs are faster
For complex PDFs with poor extraction, use -d with Azure Document Intelligence