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sublimecodersublimecoder/aios/skills/markdown-converter/SKILL.md

markdown-converter

Skill2 starsChanged 55 days agoMITView on GitHub

Markdown conversion: PDF, Office, HTML, data, OCR, audio, ZIP, YouTube.

12 other projects use a version of this, 8 of them edited.

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  • BlockSkill

    frontend-design

    Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

    Also in 3 projects that use this

The file

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Files
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</content>
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