Convert diverse document formats into Markdown text.
npx skills add https://github.com/imvladikon/dot-claude --skill markitdown-imvladikon
Please help me install this Agent Skill. Skill: markitdown Source: https://github.com/imvladikon/dot-claude/tree/main/skills/markitdown Command: npx skills add https://github.com/imvladikon/dot-claude --skill markitdown-imvladikon
Converts a wide range of document formats into Markdown text, enabling token-efficient processing and easy reuse in LLM-driven workflows.
Convert a sample.pdf to Markdown using MarkItDown to verify the output.
High-intent search queries and answers about installing and using this skill.
To convert PDF and Word documents to Markdown automatically, you can use a document conversion tool that preserves structure and formatting. This skill supports PDFs, DOCX, PPTX, and XLSX, transforming them into clean Markdown text for token-efficient processing.
The best way to extract text from scanned PDFs and images is using OCR capabilities integrated into a document conversion workflow. This skill applies OCR to images and scanned documents, converting them into Markdown text suitable for data analysis and research.
Yes, you can batch process multiple documents into Markdown. This skill features batch processing support with a pluggable architecture, allowing you to convert spreadsheets, presentations, and other document formats simultaneously for organized data workflows.
Yes, this document conversion approach supports audio transcription and YouTube transcripts. It converts diverse formats including audio files and YouTube transcripts into Markdown text, enabling token-efficient processing for research and documentation workflows.
Yes, you need OpenAI to generate AI descriptions for images during document conversion. This skill uses OpenAI dependencies to provide AI-assisted image descriptions, enhancing the Markdown output when processing documents containing visual content.
When converting complex formats like EPUBs and ZIP files to Markdown, limitations may arise from deeply nested structures or proprietary encoding. While this skill supports these formats, heavily formatted elements might not translate perfectly into token-efficient Markdown text.
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