An intelligent study companion for Traditional Chinese Medicine (TCM) licensing exams that automates review scheduling and error tracking.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tcm-exam-assistant
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 tcm-exam-assistant 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 TCM Exam Assistant?
TCM Exam Assistant is a specialized AI agent skill designed for medical students and professionals preparing for the Traditional Chinese Medicine licensing examinations. It integrates seamlessly with the Openclaw Skills ecosystem to provide a structured, data-driven approach to mastering complex medical curricula. By leveraging simple-memory for persistence, it ensures that your learning journey is tracked across different exam phases, from practical skills to written assessments.
This skill transforms raw study materials into actionable insights. It handles the heavy lifting of organizing schedules, analyzing exam answers, and maintaining a robust repository of wrong questions. Whether you are dealing with herbal formulas or internal medicine, this tool adapts its intensity to your specific timeline and performance, making it an essential part of your Openclaw Skills collection.
TCM Exam Assistant Use Cases
- Uploading official TCM exam syllabi or review documents to generate a structured daily study plan.
- Real-time adjustment of study tasks based on daily progress or specific areas of difficulty like coughing symptoms or herbal comparisons.
- Submitting practice exam answers for automated grading and detailed analysis of errors.
- Exporting a curated collection of wrong questions into a formatted Word document for offline review and printing.
How TCM Exam Assistant Works
- The AI agent reads exam-related documents (PDF, DOCX, or TXT) via the Openclaw Skills main interface.
- User intent is analyzed to determine if the goal is plan generation, answer evaluation, or question management.
- The skill retrieves historical data from simple-memory to identify current strengths and weaknesses.
- Processing logic is applied based on the exam phase (Practical vs. Written) and the chosen intensity mode.
- Output is generated, which can include updated JSON progress files, daily task lists, or exported documents.
TCM Exam Assistant Setup
To install and use this skill within your environment, ensure you have Node.js installed and follow these commands:
# Navigate to your Openclaw skills directory
cd ~/.openclaw/skills/tcm-exam-assistant
# Generate a review plan based on feedback
node assistant.js "generate-plan" "Reviewed internal medicine today, still struggling with case analysis."
# Export your wrong question database to Word
node assistant.js "export-wrong-questions"
TCM Exam Assistant Data Schema & Taxonomy
The skill organizes its persistent data within the memory/ directory using a structured taxonomy to ensure Openclaw Skills can track long-term progress:
| File | Description |
|---|---|
stage.json |
Tracks the current exam focus (practical or written). |
progress.json |
Stores mastery levels for specific subjects like acupuncture or herbal medicine. |
wrong-questions.json |
A repository of all incorrectly answered questions for targeted review. |
review-schedule.json |
Implements Ebbinghaus forgetting curve logic for optimal recall. |
user-profile.json |
Stores individual study habits and intensity preferences. |
TCM Exam Assistant Advanced Features
- Phase-Aware Automation: Automatically switches study priorities between practical skills and written theory based on the 90-day countdown to the exam.
- Intensity Scaling: Support for four distinct study modes: conservative, standard, aggressive, and crazy (up to 2.0x workload multiplier).
- Smart Time Allocation: Dynamically assigns short 30-minute tasks (mnemonics, comparisons) for mid-day breaks and deep 3-hour sessions for nighttime analysis.
- Multi-Skill Collaboration: Integrates with save-to-word and document-reading skills to create a comprehensive end-to-end workflow within the Openclaw Skills framework.
SKILL.md
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