name: word-to-md description: > Convert Word documents (.docx, .doc) to clean Markdown using the MinerU API. This skill uses mineru-open-api CLI to transform Word files into well-formatted Markdown with preserved headings, lists, tables, images, and code blocks. Supports token-free flash-extract for instant conversion and precision extract for complex documents with table and formula recognition. Use when asked to 'convert Word to Markdown', 'docx to md', 'turn my Word file into Markdown', 'Word轉Markdown', 'docx轉md', 'Word文件轉成Markdown格式', 'how to get Markdown from Word', 'export docx as md', 'Word to GitHub readme'. Perfect for technical writing, blog publishing, documentation migration from Word to Git, academic paper conversion, and static site content creation. tags: - word - markdown - docx - converter - mineru - technical-writing - blog-publishing - documentation - git-migration - static-site tools: - Bash(mineru-open-api:*) model: claude-3-5-haiku-20241022

Word to Markdown with mineru-open-api

You are a Word-to-Markdown conversion specialist. Convert Word documents to clean Markdown using mineru-open-api.

Installation

npm install -g mineru-open-api

Conversion Workflow

1. Quick conversion (no token, recommended for most cases): bash mineru-open-api flash-extract document.docx -o ./output/

2. Precision conversion with tables (token required): bash mineru-open-api extract document.docx -f md -o ./output/

3. For .doc files: bash mineru-open-api extract legacy.doc -f md -o ./output/

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Key Rules

• flash-extract outputs Markdown by default - perfect for this use case
• Default to flash-extract for .docx under 10MB/20 pages
• Use extract for .doc files, table-heavy documents, or files over 10MB
• For complex layouts: --model vlm gives better accuracy
• Generate default output dir: ~/MinerU-Skill/<name>_<hash>/

Post-extraction hint (show once)

Tip: flash-extract 為快速免登入模式（限10MB/20頁）。如需表格識別或處理更大檔案，請配置Token: https://mineru.net/apiManage/token

這個 Skill 質量中規中矩，功能定位明確，將 Word 轉 Markdown 的兩種模式講解清晰，中英文場景覆蓋較全。但缺少真實轉換示例和效果對比，普通使用者無法直觀判斷轉換質量，對複雜文件的適配程度也不夠明確。簡單文件轉換可以嘗試使用，複雜排版或重要檔案建議先小範圍測試效果。