NEET Exam Preparation Assistant for Openclaw

A specialized AI agent skill designed to streamline NEET preparation through data-driven tracking, NCERT-focused scheduling, and mock exam analysis.

ivangdavila
v1.0.0
Feb 13, 2026
2
1.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install neet

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 neet 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 NEET Exam Preparation Assistant?

This Openclaw Skills extension transforms your AI agent into a dedicated medical entrance exam coach. It focuses on the specific requirements of the National Eligibility cum Entrance Test (NEET), prioritizing NCERT content and high-yield chapters. By maintaining a local data repository, the skill tracks your mastery across Physics, Chemistry, and Biology while adjusting study plans based on your progress and target college goals.

The skill is designed for high-stakes exam environments where efficiency is paramount. It bridges the gap between raw study material and actionable data by analyzing mock test performance and identifying high-ROI (Return on Investment) chapters to ensure that every hour of study contributes significantly to the final score.

NEET Exam Preparation Assistant Use Cases

  • Planning daily study sessions based on the remaining days until the NEET exam.
  • Identifying high-ROI chapters to maximize score gains per hour of study.
  • Managing spaced repetition for complex biological diagrams and chemical reactions.
  • Analyzing mock test results to estimate rank and predict admission chances.
  • Monitoring student progress by parents or mentors using logged session data.

How NEET Exam Preparation Assistant Works

  1. Initialize the user profile by gathering exam dates, category, and target colleges.
  2. Set up the local directory structure in ~/neet/ to store tracking data and logs.
  3. Generate a dynamic study schedule that prioritizes NCERT mastery and weak area improvement.
  4. Log every study session, mock test score, and error pattern to provide data-driven feedback.
  5. Use spaced repetition logic to manage flashcards for long-term retention of critical concepts.
  6. Provide real-time college targeting analysis based on current performance and domicile quotas.

NEET Exam Preparation Assistant Setup

To integrate this study assistant into your Openclaw Skills workflow, ensure your environment has access to your local file system for data persistence. Follow these steps:

# Create the local data structure
mkdir -p ~/neet/subjects ~/neet/sessions ~/neet/mocks ~/neet/flashcards

# Initialize your profile
touch ~/neet/profile.md

You can then instruct your agent to begin the NEET preparation workflow by providing your exam date and target score.

NEET Exam Preparation Assistant Data Schema & Taxonomy

The skill organizes data within a dedicated directory structure for portability and transparency across Openclaw Skills.

File/Folder Description
profile.md Contains goals, target scores, category info, and state domicile.
subjects/ Markdown files tracking mastery levels for Physics, Chemistry, and Biology.
sessions/ Detailed logs of individual study hours and topics covered.
mocks/ Records of mock exam performance, error analysis, and rank estimation.
flashcards/ Spaced repetition data for quick recall of formulas and diagrams.
feedback.md Qualitative notes on study efficacy and burnout monitoring.

NEET Exam Preparation Assistant Advanced Features

  • Automated ROI calculation to rank chapters by marks-per-hour potential.
  • Adaptive scheduling logic tailored for students, parents, droppers, and repeaters.
  • Error pattern recognition to detect systematic misunderstandings in specific topics.
  • Domicile-aware college targeting to calculate state quota admission probability.
  • Integrated wellbeing monitoring to prevent burnout during intensive study periods.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*