[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 Markdown files to Microsoft Word (.docx) format with GFM support and proper formatting.

Workflow:

1. Install -- Ensure pandoc is available (required dependency)
2. Convert -- Run pandoc with docx output, apply reference template if provided
3. Verify -- Check output file for formatting fidelity

Key Rules:

• Requires pandoc installed on the system
• Supports GFM tables, code blocks, and images
• Optional reference.docx template for custom styling

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

markdown-to-docx

Convert markdown files to editable Microsoft Word documents with support for tables, code blocks, images, and LaTeX math equations.

Installation Required

This skill requires npm dependencies. Run one of:

# Option 1: ClaudeKit CLI (recommended)
ck init

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

Dependencies:

markdown-docx

gray-matter

Quick Start

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

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

# With custom theme
node .claude/skills/markdown-to-docx/scripts/convert.cjs -i ./doc.md --theme ./theme.json

CLI Options

--input

-i

--output

-o

{input}.docx

--theme

-t

--title

--help

-h

Features

• GFM Support: Tables, strikethrough, task lists
• Code Blocks: Syntax preserved with monospace font
• Images: Local and URL images embedded
• Math: LaTeX equations rendered by default (

  $...$

  ,

  $$...$$

  )
• Frontmatter: YAML metadata extracted for title
• No System Dependencies: Pure JavaScript, no Chrome needed

Output

Returns JSON on success:

{
    "success": true,
    "input": "/path/to/input.md",
    "output": "/path/to/output.docx"
}

Compatibility

Generated DOCX files work with:

• Microsoft Word (2007+)
• Google Docs (upload to Drive)
• LibreOffice Writer
• Apple Pages

Closing Reminders

• IMPORTANT MUST ATTENTION break work into small todo tasks using

  TaskCreate

  BEFORE starting
• IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• IMPORTANT MUST ATTENTION cite

  file:line

  evidence for every claim (confidence >80% to act)
• IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
• MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
• MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->