Convert Markdown files into formatted Word documents with a title page, a table of contents, styled tables and code blocks, and embedded PNG images. The converter runs in Node.js without Pandoc or LibreOffice.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Convert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools required
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Convert Markdown (.md) files into professionally formatted Word (.docx) documents with embedded PNG images. Uses pure JavaScript via the docx and marked npm packages — no Pandoc, LibreOffice, or any native binary required.
# Install dependencies (one-time, from the scripts folder)
cd skills/md-to-docx/scripts && npm install
# Convert (run from workspace root)
node skills/md-to-docx/scripts/md-to-docx.mjs <input.md> [output.docx]
If output.docx is omitted, it defaults to <input-basename>.docx in the current directory.
| File | Purpose |
|---|---|
SKILL.md | This instruction file |
scripts/md-to-docx.mjs | Node.js Markdown-to-Word converter |
scripts/package.json | Dependencies (docx, marked) |
| Requirement | Version | Notes |
|---|---|---|
| Node.js | 18+ | Required runtime |
docx | 9+ | Pure JS Word document generator |
marked | 15+ | Markdown parser |
No native binaries. No system-level installs. Works on Windows, macOS, and Linux.
The converter:
title, date, version, audience for the title page references relative to the input .md file, reads the PNG, and embeds it inline in the Word document#1F3864), styled tables with alternating row colors, code blocks in ConsolasThe converter automatically embeds PNG images referenced in the Markdown:
The image path is resolved relative to the input Markdown file. The PNG is read, dimensions are extracted from the PNG header, and the image is scaled to fit within 6 inches width while preserving aspect ratio.
If an image file is not found, a placeholder [Image not found: <path>] is inserted.
---
title: Project Name — Project Summary
date: 2025-01-15
version: 1.0
audience: Engineering Team, Architects, Stakeholders
---
The title is split on — or – into main title and subtitle for the title page.
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Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.