A specialized AI study assistant designed to help users prepare simultaneously for the Japanese Language Proficiency Test N2 and the System Architect certification.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install study-buddy-niu
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 study-buddy-niu using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Study Buddy is a sophisticated AI agent skill built to streamline dual-track learning for technical professionals. It bridges the gap between language acquisition and high-level software engineering certification by providing a unified interface for Japanese N2 and System Architect exam preparation. By integrating with Openclaw Skills, this tool provides a personalized learning environment that adapts to the user's pace and specific knowledge gaps.
The skill eliminates the friction of switching between different study materials by centralizing intelligent questioning, automated grading, and progress tracking within a single conversational interface. Whether you are mastering Japanese grammar or deep-diving into system design patterns, Study Buddy ensures your preparation is data-driven and consistent.
To integrate this into your agent via Openclaw Skills, you must configure your Feishu Bitable credentials to store and retrieve study data effectively.
const CONFIG = {
BITABLE_APP_TOKEN: "YOUR_BITABLE_APP_TOKEN",
BITABLE_TABLE_ID: "YOUR_TABLE_ID"
};
Study Buddy organizes learning data using the following structure to ensure consistency across different Openclaw Skills implementations:
| Field | Description |
|---|---|
| Problem ID | Unique identifier for the exam question |
| Category | JLPT N2 (Grammar/Vocab) or System Architect |
| User Response | The answer provided by the student |
| Correctness | Boolean flag for grading results |
| Timestamp | Date and time when the question was attempted |
| Bitable Record | Link to the wrong-question repository for future review |
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