Convert Markdown documents into Word .docx files with embedded images and captions.
npx skills add https://github.com/black-yt/skills --skill markdown-to-docx-black-yt
Please help me install this Agent Skill. Skill: markdown-to-docx Source: https://github.com/black-yt/skills/tree/main/markdown-to-docx Command: npx skills add https://github.com/black-yt/skills --skill markdown-to-docx-black-yt
This Skill converts Markdown documents into editable Microsoft Word .docx deliverables, removing the need for manual copy-paste formatting and preserving a readable, professional structure for business and public-facing documents.
Ask the skill to convert your Markdown file into a Word .docx document with embedded local images, readable headings, and the preferred Chinese or English font settings.
High-intent search queries and answers about installing and using this skill.
To convert Markdown to Word docx with embedded local images, use a deterministic Python workflow that maps headings, lists, and relative image paths into centered, captioned figures within a readable .docx file.
Yes, you can generate image captions from alt text during Markdown to docx conversion. The process automatically extracts alt text to create readable captions and centers the local images with proper width control.
You can set Chinese or English fonts when converting a Markdown document to Word by specifying your preferred typography settings before the conversion process, ensuring the generated .docx output uses the correct readable fonts.
Yes, python-docx supports visible word count estimation for converted Markdown files. A companion counting script verifies the generated document to ensure the visible word count meets your requirements.
The best way to convert Markdown release notes into a formatted Word document is using a repeatable conversion workflow that preserves headings, quotes, links, and code blocks while embedding screenshots with readable typography.
Limitations when converting Markdown to docx using python-docx include relying on dependencies like bs4 and lxml for parsing, requiring local relative image paths for embedding, and needing predefined font selections for consistent typography.
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