Study Buddy: Dual-Track Exam Assistant for Openclaw

A specialized AI study assistant designed to help users prepare simultaneously for the Japanese Language Proficiency Test N2 and the System Architect certification.

it-worker-club
v1.0.0
Mar 28, 2026
0
721
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install study-buddy-niu

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 study-buddy-niu 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 Study Buddy: Dual-Track Exam Assistant?

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.

Study Buddy: Dual-Track Exam Assistant Use Cases

  • Preparing for the JLPT N2 exam while maintaining professional technical certification goals.
  • Generating on-the-spot practice questions for Japanese grammar or system architecture design.
  • Reviewing past mistakes through an automated wrong-question database.
  • Creating structured daily study plans based on upcoming exam dates.

How Study Buddy: Dual-Track Exam Assistant Works

  1. The user triggers the skill by asking for a practice question, a study plan, or progress stats using natural language.
  2. The AI agent retrieves relevant questions from its database based on the specified category, such as N2 grammar or Architecture.
  3. Upon receiving the user's answer, the system automatically grades the response and provides a detailed technical explanation for the correct choice.
  4. Incorrect answers are automatically synced to a Feishu Bitable database for long-term review and targeted practice.
  5. The skill tracks overall progress, including accuracy rates and study duration, to keep the user informed of their exam readiness.

Study Buddy: Dual-Track Exam Assistant Setup

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: Dual-Track Exam Assistant Data Schema & Taxonomy

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

Study Buddy: Dual-Track Exam Assistant Advanced Features

  • Automatic wrong-question synchronization to Feishu Bitable for persistent storage and cross-device access.
  • Multi-track switching between language learning and technical architecture domains without losing context.
  • Dynamic study plan generation based on real-time countdowns to specific exam dates.
  • Comprehensive statistical analysis of learning progress, including accuracy trends and time-on-task metrics.

SKILL.md


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