A comprehensive SAT preparation assistant that provides adaptive practice, score prediction, and college admissions strategy for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sat
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 sat 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 SAT Preparation Assistant?
The SAT skill transforms an AI agent into a sophisticated test-prep tutor designed specifically for the digital SAT format. By utilizing Openclaw Skills, this tool automates the management of study schedules, mistake logging, and performance analytics to ensure students achieve their target scores for US college admissions.
This skill moves beyond simple question-and-answer sessions to provide a holistic ecosystem for score prediction, superscore strategy, and college-specific targeting. It ensures that every study session is data-driven, focusing on the highest return-on-investment topics to maximize score improvements within limited preparation windows.
SAT Preparation Assistant Use Cases
- Preparing for the Digital SAT for US college admissions with a structured curriculum.
- Conducting diagnostic assessments to establish baseline scores and identify specific weaknesses.
- Managing a centralized error log to identify and prevent recurring mistake patterns.
- Strategic planning for test dates and superscoring opportunities to maximize composite scores.
- Researching target college requirements to align study goals with admission standards.
How SAT Preparation Assistant Works
- Initialize the user profile in the local file system to store target scores, test dates, and previous attempts.
- Perform a diagnostic assessment to identify current performance levels across Reading, Writing, and Math sections.
- Generate adaptive practice questions that specifically target high-priority weak areas.
- Log results from timed practice sessions to track accuracy trends and time-per-question metrics.
- Analyze mistake patterns to categorize errors and update the feedback loop for future study sessions.
- Predict test-day scores and provide college matching suggestions based on the latest performance data stored in Openclaw Skills.
SAT Preparation Assistant Setup
To begin using the SAT skill, ensure your local environment is configured to store study data:
# Create the local data directory
mkdir -p ~/sat
# The agent will automatically initialize profile.md and tracking files
You should provide the agent with your target test date and any previous score reports to initialize the diagnostic phase.
SAT Preparation Assistant Data Schema & Taxonomy
The skill maintains a structured directory at ~/sat/ to manage all prep data and progress tracking:
| File/Folder | Description |
|---|---|
profile.md |
Stores target scores, test dates, and current proficiency levels. |
sections/ |
Contains detailed progress for Reading, Writing, and Math sections. |
practice/ |
Archives practice test results and session-based performance analysis. |
vocabulary/ |
Manages word lists using spaced repetition techniques for retention. |
mistakes/ |
A comprehensive error log for tracking patterns and conceptual gaps. |
feedback.md |
Records which study methods and strategies yield the best results for the user. |
SAT Preparation Assistant Advanced Features
- Adaptive question generation tailored to the logic of the digital SAT adaptive sectioning.
- Spaced repetition vocabulary management integrated directly into the study workflow.
- Detailed mistake pattern analysis to distinguish between conceptual errors and procedural slips.
- Multi-attempt superscore strategy planning to optimize the composite score across multiple test dates.
- Automated college admission requirement matching using Openclaw Skills data processing to set realistic score targets.
SKILL.md
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