Anatomy Quiz Master for Openclaw

An advanced AI-driven quiz engine designed to generate interactive anatomical assessments for medical students and educators.

aipoch-ai
v0.1.0
Mar 18, 2026
0
942
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install anatomy-quiz-master

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install anatomy-quiz-master using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Anatomy Quiz Master?

Anatomy Quiz Master is a comprehensive technical framework designed to bridge the gap between anatomical theory and clinical application. As part of the Openclaw Skills ecosystem, this tool automates the creation of high-fidelity quizzes covering gross anatomy, neuroanatomy, and clinical correlations. It serves as a specialized assistant for medical students preparing for high-stakes exams like the USMLE Step 1, as well as teaching assistants looking to streamline lab assessment workflows.

By leveraging Openclaw Skills, users can access an adaptive learning system that scales difficulty based on performance, ensuring that study sessions remain challenging yet productive. The skill focuses on high-yield anatomical knowledge, providing detailed explanations that clarify not just the correct answer, but the underlying anatomical relationships and clinical significance of the structures involved.

Anatomy Quiz Master Use Cases

  • Medical students conducting self-assessments after cadaver dissections or lectures.
  • USMLE candidates practicing clinical vignette-style anatomy questions under timed conditions.
  • Teaching assistants generating standardized weekly lab quizzes and practical station materials.
  • Educators identifying student knowledge gaps through automated performance analytics and weak-area identification.

How Anatomy Quiz Master Works

  1. The user initializes the skill via the CLI or Python API, specifying parameters such as anatomical region, difficulty level, and question count.
  2. The engine parses the request to select appropriate topics, ranging from cranial nerves in neuroanatomy to vascular supply in the abdomen.
  3. The quiz generator constructs a series of questions, including identification tasks and complex clinical scenarios where anatomical knowledge is required to solve a medical problem.
  4. Upon completion, the progress tracker analyzes results to calculate mastery thresholds and identify specific structures requiring further study.
  5. The system optionally generates a structured study plan or exports the data to external formats like JSON or PDF for LMS integration.

Anatomy Quiz Master Setup

Anatomy Quiz Master requires Python 3.7 or higher. Since it utilizes the standard library for its core operations, no additional heavy dependencies are required. Install the skill and run the main entry point to begin.

# Generate a focused quiz for the upper limb
python scripts/main.py --region upper_limb --difficulty intermediate --count 15 --output study_quiz.json

# Review available anatomical regions
python scripts/main.py --list-regions

Anatomy Quiz Master Data Schema & Taxonomy

The skill manages data through a combination of configuration files, structured quiz outputs, and analytics reports.

Data Component Format Description
Quiz Data JSON Contains question stems, distractors, correct answers, and anatomical explanations.
Performance Analytics JSON Tracks student_id, time-per-question, and mastery percentages across different regions.
Study Plan Markdown A generated 14-day roadmap based on diagnostic quiz results.
Answer Key Text/JSON Includes acceptable variations and grading rubrics for teaching assistant use.

Anatomy Quiz Master Advanced Features

  • Adaptive difficulty scaling that automatically increases question complexity after consecutive correct answers.
  • Spaced repetition logic to re-surface historically difficult anatomical structures at optimal learning intervals.
  • Neuroanatomy pathway tracing module specifically for testing motor and sensory circuit logic.
  • Automated clinical correlator that transforms raw anatomical facts into USMLE-style patient vignettes.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*