docx-to-markdown

name	docx-to-markdown
version	1.0.0
description	[Document Processing] Use when you need to convert Microsoft Word ( DOCX) files to Markdown with GFM support (tables, images, code blocks).
disable-model-invocation	false

Quick Summary

Goal: Convert Microsoft Word (.docx) files to Markdown with GFM support (tables, images, formatting).

Workflow:

1. Install -- Ensure pandoc is available (required dependency)
2. Convert -- Run pandoc with GFM output format and image extraction
3. Clean -- Post-process markdown for consistency

Key Rules:

• Requires pandoc installed on the system
• Extracts images to a media/ directory alongside the markdown
• Preserves tables, formatting, and document structure

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

docx-to-markdown

Convert Microsoft Word (.docx) files to Markdown format with GitHub-Flavored Markdown support.

Installation Required

This skill requires npm dependencies. Run one of the following:

# Option 1: Install via ClaudeKit CLI (recommended)
ck init  # Runs install.sh which handles all skills

# Option 2: Manual installation
cd .claude/skills/docx-to-markdown
npm install

Dependencies: mammoth, turndown, turndown-plugin-gfm

Quick Start

# Basic conversion
node .claude/skills/docx-to-markdown/scripts/convert.cjs --input ./document.docx

# Specify output path
node .claude/skills/docx-to-markdown/scripts/convert.cjs -i ./doc.docx -o ./output.md

# Preserve images to folder
node .claude/skills/docx-to-markdown/scripts/convert.cjs -i ./doc.docx --images ./images/

CLI Options

Option	Short	Description	Default
--input	-i	Input DOCX file path	(required)
--output	-o	Output markdown file path	{input}.md
--images		Directory for extracted images	inline base64
--help	-h	Show help message

Features

• GFM Tables: Properly converts Word tables to markdown tables
• Images: Extracts embedded images (base64 inline or to folder)
• Lists: Ordered and unordered lists preserved
• Code Blocks: Monospace text converted to code blocks
• Links: Hyperlinks preserved
• Headings: Heading levels maintained
• Cross-OS: Works on Windows, macOS, Linux

Conversion Pipeline

DOCX → mammoth → HTML → turndown → Markdown

The two-stage conversion (DOCX→HTML→MD) follows mammoth's official recommendation for best results.

Output

Returns JSON on success:

{
    "success": true,
    "input": "/path/to/input.docx",
    "output": "/path/to/output.md",
    "stats": {
        "images": 3,
        "tables": 2,
        "headings": 5
    }
}

Limitations

• Complex layouts (columns, text boxes) may not preserve structure
• Merged table cells produce basic markdown tables
• Comments and track changes are stripped
• Some formatting (fonts, colors) lost in conversion

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[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

AI Mistake Prevention — Failure modes to avoid on every task:

Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.

MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.

Closing Reminders

Protocols in force (concise digest of the SYNC/shared blocks this skill carries):

• AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.

• Critical Thinking: MUST ATTENTION sequential thinking, traced file:line proof, confidence >80% to act.

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting

• MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code

• MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)

• MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.