Productivity

markdown-converter

intellectronica/agent-skills · updated Apr 8, 2026

$npx skills add https://github.com/intellectronica/agent-skills --skill markdown-converter
summary

Convert documents, spreadsheets, presentations, images, audio, and web content to Markdown for LLM processing.

  • Supports 15+ formats including PDF, Word, PowerPoint, Excel, HTML, CSV, JSON, XML, images with OCR, audio with transcription, ZIP archives, YouTube URLs, and EPub
  • Preserves document structure including headings, tables, lists, and links in the converted Markdown output
  • Optional Azure Document Intelligence integration ( -d flag) for improved extraction on complex or scanned P
skill.md

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