A specialized AI study companion for medical students and graduates preparing for USMLE Step 1, 2 CK, and 3.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install usmle
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install usmle 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 USMLE Assistant?
The USMLE skill is a powerful addition to your collection of Openclaw Skills, designed to serve as a comprehensive study assistant for medical licensing exams. It helps medical students and graduates navigate the complexities of Step 1, Step 2 CK, and Step 3 by providing a structured framework for progress tracking and residency planning. By leveraging the technical capabilities of Openclaw Skills, users can transform their AI agent into a dedicated medical education consultant that optimizes every study hour through data-driven insights.
This skill is specifically tailored for the unique needs of US MDs, DOs, and International Medical Graduates (IMGs). It goes beyond simple scheduling by incorporating critical logic such as the Pass/Fail nature of Step 1 and the high-stakes scoring of Step 2 CK. By maintaining a persistent local data store, the agent ensures that your preparation journey is documented, analyzed, and refined as you move closer to your exam date.
USMLE Assistant Use Cases
- Organizing intensive study schedules for USMLE Step 1, Step 2 CK, and Step 3.
- Tracking performance across primary question banks like UWorld and Amboss.
- Analyzing NBME practice test scores to generate predicted three-digit exam performance.
- Targeting specific residency specialties based on current score trajectories and competitiveness.
- Managing stress and burnout during high-pressure dedicated study blocks.
How USMLE Assistant Works
- The agent gathers critical baseline data including the target Step, exam date, user type, and current resources.
- It initializes a structured directory system in the user's home folder to track all aspects of the preparation lifecycle.
- The skill logs question bank results and study sessions to identify mastery levels across specific organ systems.
- It generates adaptive daily schedules that prioritize high-ROI weak areas to maximize points-per-hour potential.
- The agent provides ongoing residency match analysis by comparing user performance against national specialty data.
USMLE Assistant Setup
To integrate this with your Openclaw Skills environment, create the necessary directory structure on your local machine to allow the agent to persist your data:
mkdir -p ~/usmle/steps ~/usmle/sessions ~/usmle/assessments ~/usmle/qbank
touch ~/usmle/profile.md ~/usmle/feedback.md
Once the folders are ready, simply tell your agent which exam you are preparing for to begin the configuration process.
USMLE Assistant Data Schema & Taxonomy
The skill organizes all medical study data within the ~/usmle/ directory to ensure seamless integration with other Openclaw Skills workflows:
| File or Directory | Purpose |
|---|---|
profile.md |
Stores goals, target scores, exam dates, and student classification (MD/DO/IMG). |
/steps/ |
Contains specific progress folders for Step 1, Step 2 CK, and Step 3. |
/sessions/ |
Logs every study session for detailed time-management and intensity analysis. |
/assessments/ |
Repository for NBME and UWorld self-assessment results and predicted scores. |
/qbank/ |
Tracks completion percentages, accuracy, and flagged questions across resources. |
feedback.md |
Records qualitative reflections on study efficacy and mental wellbeing. |
USMLE Assistant Advanced Features
- ROI-first prioritization that focuses study time on topics with the highest score-gain potential for your specific gaps.
- Adaptive user-type workflows that adjust strategy for US MD rotation timing versus IMG score maximization.
- Integrated residency match planning that aligns current assessment scores with specialty-specific competitiveness benchmarks.
- Burnout monitoring and wellbeing integration to ensure sustainable performance during dedicated study periods.
- Persistent question-bank management that syncs mastery levels across multiple resources like UWorld and Amboss within the Openclaw Skills ecosystem.
SKILL.md
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