[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.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.
AI Mistake Prevention — Failure modes to avoid on every task: - Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. - Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. - Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. - Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. - When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. - Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. - Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. - Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. - Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. - Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Quick Summary
Goal: Convert Microsoft Word (.docx) files to Markdown with GFM support (tables, images, formatting).
Workflow:
- Install -- Ensure pandoc is available (required dependency)
- Convert -- Run pandoc with GFM output format and image extraction
- 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 installDependencies: 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-Platform: Works on Windows, macOS, Linux
Conversion Pipeline
DOCX → mammoth → HTML → turndown → MarkdownThe 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
Closing Reminders
- MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
TaskCreateBEFORE starting - MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
- MANDATORY IMPORTANT MUST ATTENTION cite
file:lineevidence for every claim (confidence >80% to act) - MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
- MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
- MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.