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pdf-question-extraction

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Turn PDFs of exam questions into structured data.

Data & Analytics#pdf#SQL#validation#LLM#JSON#extraction#data-structure
Authortlfmcooper
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the extraction, parsing, validation, and structuring of Google Cloud Professional ML Engineer PDF questions into clean JSON/SQL formats, reducing manual data entry and errors.

Core Features & Use Cases

  • Automated extraction: Convert PDF exam questions into structured data.
  • Validation & normalization: Enforce consistent option labeling, correct answers, and topic tagging.
  • Export readiness: Produce JSON/SQL-ready records for database imports or analytics.
  • Use Case: Convert a 100-question PDF into a queryable dataset for study dashboards and practice exams.

Quick Start

Run the extraction workflow on a sample PDF using the included patterns and templates.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pdf-question-extraction
Download link: https://github.com/tlfmcooper/prof-mle-exam-prep/archive/main.zip#pdf-question-extraction

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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