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exam-ingest

Parse and structure student course materials into exam-preparation workspaces.

266|15|Updated Jun 24, 2026

Search Tags:#exam preparation #course materials #workspace initialization #education automation #knowledge base construction

Ready to run

npx skills add https://github.com/ZeKaiNie/universal-examprep-skill --skill exam-ingest

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exam-ingest
Source: https://github.com/ZeKaiNie/universal-examprep-skill/tree/main/skills/exam-ingest
Command: npx skills add https://github.com/ZeKaiNie/universal-examprep-skill --skill exam-ingest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the creation of exam-preparation workspaces by automatically parsing and structuring student materials into a usable format.

Core Features & Use Cases

Automated Workspace Initialization: Converts course materials like PDFs, text files, and past exams into a structured workspace for exam preparation.
Knowledge Base Construction: Builds a knowledge base from the materials, including quizzes and study plans.
Use Case: For a student who needs to prepare for an exam and has scattered course materials, this skill can automatically organize and structure the materials for efficient study.

Quick Start

Initialize the exam-prep workspace by running the following command: python <package-root>/scripts/ingest.py --input <temp-json>

Frequently Asked Questions about exam-ingest

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

FAQPage Schema

How do I organize scattered course materials for exam preparation automatically?▼

To organize scattered course materials for exam preparation automatically, run the ingest.py script. It parses PDFs and text files, structuring them into a unified knowledge base with study plans.

What's the best way to build a study knowledge base from past exam PDFs?▼

Building a study knowledge base from past exam PDFs is handled by automated workspace initialization. It parses your PDFs using pdfplumber and pypdf to extract and structure quizzes and study materials.

Can I use Python to structure text files and past exams into a study plan?▼

Yes, you can use Python to structure text files and past exams into a study plan. The workspace initialization script processes these input files to automatically generate a structured knowledge base.

Does the exam-prep workspace initialization tool require pdf2image to parse course materials?▼

Yes, the exam-prep workspace initialization requires pdf2image, along with pypdf and pdfplumber, to properly parse and structure your course materials and past exam documents.

What limitations should I expect when parsing course materials with pdfplumber?▼

When parsing course materials with pdfplumber, limitations depend on the input file structure. The tool requires Python scripts and a temporary JSON input file to correctly initialize the educational workspace.

How does automated exam-ingest handle workspace initialization for student materials?▼

Automated exam-ingest handles workspace initialization by parsing a temporary JSON input to locate student materials. It then uses Python scripts to automatically organize files into a structured knowledge base.