mcq-word-converter

Convert Word MCQ documents to UOE interleaved CSV format.

Updated May 16, 2026
One-click install
npx skills add https://github.com/simondhalliday/uoe-skills --skill mcq-word-converter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcq-word-converter
Source: https://github.com/simondhalliday/uoe-skills/tree/main/skills/mcq-word-converter
Command: npx skills add https://github.com/simondhalliday/uoe-skills --skill mcq-word-converter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the conversion of Word MCQ documents into a standardized UOE interleaved CSV format, streamlining the process for educators and saving time.

Core Features & Use Cases

  • Word to CSV Conversion: Converts MCQs from Word documents into a format ready for use with the mcq-exporter skill.
  • Figure Resolution: Automatically resolves figure references and extracts embedded images.
  • Metadata Extraction: Parses and extracts metadata such as chapter, section, and Bloom's level.
  • Use Case: Ideal for converting MCQs written in Word by co-authors into a format compatible with LMS systems like Moodle and Canvas.

Quick Start

Use the mcq-word-converter skill to convert MCQs from a Word document located at '/path/to/your/document.docx'.

Frequently Asked Questions about mcq-word-converter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert Word MCQ documents to CSV format for Moodle or Canvas?

Yes, this Skill resolves figure references and extracts embedded images during the Word to CSV conversion. It automatically links images back to their corresponding multiple choice questions in the output.

How do I extract metadata like Bloom's level from Word multiple choice questions?

You can extract metadata like Bloom's level, chapter, and section from Word MCQs by running this Skill. It parses various marking conventions in the document and structures the extracted metadata into standardized CSV columns.

Do I need python-docx to parse Word documents into UOE interleaved CSV?

Yes, python-docx is required as a dependency to parse Word documents into UOE interleaved CSV format. The Skill relies on this library to read the .docx file structure and extract text, images, and metadata.

What is the best way to convert MCQs written by multiple co-authors into a standardized format?

The best way to standardize MCQs from multiple co-authors is using this Skill to convert Word documents into a consistent UOE interleaved CSV format. It handles various marking conventions to ensure uniform output.