A specialized AI assistant designed to optimize preparation for India's Joint Entrance Examination (JEE) through data-driven tracking and strategy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jee
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 jee 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 JEE Exam Prep Assistant?
The JEE skill is a comprehensive digital companion for students tackling one of the world's most competitive engineering exams. By leveraging this addition to your Openclaw Skills collection, users can transform their AI agent into a sophisticated coaching assistant that manages everything from daily schedules to deep-dive error analysis. It focuses on a high-ROI (Return on Investment) approach, ensuring that every hour of study is directed toward the chapters and topics most likely to improve a student's final percentile.
Built for the rigorous demands of both JEE Main and Advanced, this skill adapts to the user's specific circumstances—whether they are a regular school-goer balancing board exams or a dropper dedicated to a full-year revision cycle. It provides a structured framework for Physics, Chemistry, and Mathematics, turning raw mock test scores into actionable insights that guide the student toward their target IIT or NIT.
JEE Exam Prep Assistant Use Cases
- Creating optimized study plans based on the days remaining for JEE Main and Advanced attempts.
- Identifying high-ROI chapters where a student can quickly gain marks based on historical weightage.
- Tracking mastery levels across all PCM chapters to ensure no topic is left behind.
- Categorizing mistakes into conceptual, silly, or time-pressure errors to improve exam temperament.
- Predicting college and branch eligibility based on category-specific cutoffs and mock test trends.
How JEE Exam Prep Assistant Works
- Initialize the system by defining student profiles including category, current score range, and target rank.
- The skill analyzes the exam countdown and generates a prioritized daily schedule focusing on the user's weak areas.
- Every study session and mock test result is logged into a local directory structure to maintain a persistent record of growth.
- Using mistake pattern detection, the skill highlights recurring errors in specific subjects or question types.
- The assistant provides strategic advice for mock tests, including paper attempt order and time allocation, refined through multiple Openclaw Skills iterations.
JEE Exam Prep Assistant Setup
To deploy this skill, you must set up the local data architecture within your agent's environment. Run the following commands to initialize your JEE tracking system:
mkdir -p ~/jee/subjects ~/jee/sessions ~/jee/mocks ~/jee/mistakes
touch ~/jee/profile.md ~/jee/feedback.md
Once established, populate the profile.md with your target exam dates and category to allow the Openclaw Skills logic to tailor its recommendations.
JEE Exam Prep Assistant Data Schema & Taxonomy
The skill organizes preparation data using a structured Markdown taxonomy for transparency and ease of access:
| Directory/File | Data Managed |
|---|---|
profile.md |
Goals, category (OBC/SC/ST/Gen), and target exam dates. |
subjects/ |
Chapter-wise mastery logs for Physics, Chemistry, and Math. |
sessions/ |
Historical logs of time spent and topics covered in each session. |
mocks/ |
Detailed performance metrics from full-length and part tests. |
mistakes/ |
A centralized error log categorizing why questions were missed. |
feedback.md |
Qualitative analysis of study methods and strategy effectiveness. |
JEE Exam Prep Assistant Advanced Features
- ROI-first scheduling that automatically re-prioritizes high-weightage topics based on user performance.
- User type adaptations for Class 11, Class 12, and Dropper profiles to balance board exams and JEE.
- Built-in wellbeing monitoring to prevent student burnout during high-intensity preparation cycles.
- Category-aware college targeting using historical IIT/NIT cutoff data for General, EWS, OBC-NCL, SC, and ST candidates.
- Integration with other Openclaw Skills for expanded research into complex scientific concepts or advanced problem-solving.
SKILL.md
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