An adaptive AI math tutor that provides progressive hints and error analysis to help students solve problems independently.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install socraticmathcoach
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 socraticmathcoach 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 Simple Math Mentor?
Simple Math Mentor is a specialized extension for Openclaw Skills designed to transform AI agents into pedagogical assistants. Unlike standard calculators, this skill focuses on the learning process by using a tiered hint system that encourages students to find solutions through guided discovery. It ensures that the AI agent acts as a tutor rather than a shortcut, fostering deeper understanding of mathematical concepts.
By integrating this skill, developers can deploy agents that recognize different error types—such as conceptual misunderstandings or simple calculation slips—and provide tailored feedback. It is an essential tool for educational platforms and personal productivity bots looking to leverage Openclaw Skills for interactive learning.
Simple Math Mentor Use Cases
- Guiding students through multi-step math problems without giving away the final answer.
- Checking student work and providing specific feedback on where a calculation went wrong.
- Explaining specific mathematical theories or knowledge points through an interactive dialogue.
- Serving as a core logic template for developing more complex educational Openclaw Skills.
How Simple Math Mentor Works
- Intent Analysis: The skill first identifies if the user wants to solve a new problem, check an existing answer, or learn a concept.
- Level Selection: Based on the student's history, it selects a Hint Level from 0 (Questioning) to 4 (Direct Answer).
- Progressive Guidance: The agent provides a hint corresponding to the current level, focusing on only one small step at a time.
- Interactive Feedback: It prompts the student to attempt the next step and waits for their input.
- Session Synthesis: Once the problem is solved, it generates a summary of mastered points and suggests further practice.
Simple Math Mentor Setup
To deploy this math tutor within your agent environment, include the skill definition in your configuration. Use the following command to add it to your local Openclaw Skills repository:
# Clone or copy the skill into your project directory
cp -r ./skills/math-mentor-simple ~/.openclaw/skills/
# Restart your AI agent to load the new math capabilities
openclaw-agent reload
Simple Math Mentor Data Schema & Taxonomy
The skill manages interaction through a structured Hint Level system and error taxonomy. The following table describes how information is organized during a session:
| Data Component | Description |
|---|---|
| Hint Levels | Ranges from Level 0 (Question only) to Level 4 (Full Answer). |
| Error Types | Categorizes mistakes into Conceptual, Calculation, Reading, or Reasoning. |
| Knowledge Point | Identifies the specific mathematical topic being addressed. |
| Progression State | Tracks student success to adjust hint intensity dynamically. |
Simple Math Mentor Advanced Features
- Adaptive Hint Scaling: Automatically increases hint depth after two consecutive errors or decreases it when the student demonstrates mastery.
- Intelligent Error Taxonomy: Distinguishes between logic gaps and simple arithmetic mistakes to provide more relevant advice.
- Multi-stage Summarization: Generates structured post-session reports including key takeaways and next-step recommendations.
- Contextual Intent Detection: Switches seamlessly between tutoring mode and answer-checking mode based on natural language input within Openclaw Skills.
SKILL.md
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