An AI-powered study assistant that transforms raw notes and documentation into comprehensive exam preparation materials.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install exam
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install exam using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Exam skill is a robust educational tool designed for the Openclaw Skills ecosystem. It enables users to convert any study material—such as textbook chapters, lecture slides, or technical documentation—into interactive practice environments. By leveraging advanced AI, the skill helps learners move beyond passive reading into active recall and spaced repetition.
Whether you are preparing for a university final or a high-stakes professional certification like AWS or PMP, this skill automates the creation of high-quality assessments and summaries. It essentially acts as a private tutor that understands your unique content and tailors the learning experience to your specific needs, ensuring you are fully prepared for any testing scenario using Openclaw Skills.
Ensure your Openclaw environment is active and use the following steps to initialize the Exam skill. First, prepare your directory structure to allow the agent to store your study data:
# Create the local storage directory
mkdir -p ~/exams/
Once the directory is ready, you can start a session by providing your material. For example, tell the agent: "Generate 20 questions from my AWS_S3_Notes.md file." The skill will automatically organize these under the Openclaw Skills framework.
The Exam skill organizes data within the ~/exams/ directory, categorized by subject to keep your Openclaw Skills workspace clean.
| File | Purpose | Format |
|---|---|---|
questions.jsonl |
The master question bank for a specific subject | JSON Lines |
sessions.jsonl |
Detailed history of every practice session | JSON Lines |
performance.json |
Aggregated statistics and performance trends | JSON |
flashcards.json |
Generated flashcards for spaced repetition | JSON |
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