An AI-powered K12 math assistant that syncs with standard curriculum to provide explanations, problem sets, and automated grading.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install math-edu-assistant
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 math-edu-assistant 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 Math Education Assistant?
The Math Education Assistant is a comprehensive tool designed for the Openclaw Skills ecosystem to support K12 students from elementary through high school. It strictly follows standard curriculum chapters to ensure that the learning content is age-appropriate and aligned with school standards. By integrating this skill into your workflow, you can transform an AI agent into a dedicated tutor capable of explaining complex formulas, generating customized practice tests, and providing detailed feedback on homework.
This skill leverages a structured database of knowledge points and curriculum maps to deliver precise, curriculum-aligned content. It is designed to be triggered by natural language, allowing students and educators to interact without needing rigid command structures. Whether you are looking for a deep dive into quadratic equations or a quick practice set for primary school arithmetic, this skill provides a professional and pedagogical approach to mathematics education.
Math Education Assistant Use Cases
- Syncing with classroom lessons for detailed knowledge point explanations.
- Generating custom practice sets based on specific chapters, difficulty levels, and question types.
- Getting step-by-step grading and feedback for math homework.
- Breaking down complex mathematical concepts like quadratic functions or trigonometry using life analogies.
- Summarizing key formulas and problem-solving methodologies for exam preparation.
How Math Education Assistant Works
- Intent Recognition: The skill identifies the student's grade level and specific mathematical topic through natural language processing.
- Curriculum Mapping: It maps the user's request to the precise chapter and knowledge point within the pre-defined curriculum database.
- Task Selection: Depending on the identified intent, it triggers specific modules for explanation, problem generation, or grading.
- Procedural Processing: For grading or Q&A, it follows a step-by-step logic to ensure the student understands the 'how' and 'why' rather than just receiving the final answer.
- Formatted Output: The assistant generates responses using LaTeX for mathematical formulas and structured Markdown for clear readability.
- Interactive Feedback: It concludes each interaction with a follow-up prompt to encourage continued practice or deeper inquiry within the Openclaw Skills framework.
Math Education Assistant Setup
To install and configure the Math Education Assistant within your environment, ensure you have the Openclaw Skills framework active.
# Clone the skill repository
git clone https://github.com/openclaw/math-edu-assistant.git
# Navigate to the skills directory
cd math-edu-assistant
# Initialize the curriculum references and data structures
cp references/*.md ./data/
Ensure that your agent has read access to the references/ directory to utilize the curriculum map and grading rubrics effectively.
Math Education Assistant Data Schema & Taxonomy
The skill utilizes a structured repository of markdown files to maintain curriculum integrity and scoring accuracy:
| File Path | Description |
|---|---|
references/curriculum_map.md |
Hierarchical map of grades, chapters, and topics. |
references/knowledge_points.md |
Detailed database of definitions, formulas, and properties. |
references/question_templates.md |
Logic patterns for generating diverse math problems. |
references/grading_rubric.md |
Criteria for step-by-step subjective problem scoring. |
Math Education Assistant Advanced Features
- Multi-level difficulty logic (Foundational, Intermediate, Advanced) that can be automatically adjusted based on user performance context.
- Intelligent hint system that provides heuristic guidance and 'analogous thinking' before revealing full solutions.
- Full LaTeX integration for high-quality rendering of complex equations, ensuring technical precision in the Openclaw Skills environment.
- Automated error analysis that identifies root causes of mistakes and suggests targeted remedial exercises.
- Support for custom curriculum extensions through the modular curriculum map architecture.
SKILL.md
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