An automated engine for creating comprehensive math review materials in HTML format featuring validated SVG visualizations and original practice questions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ch-math-review-generator
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 ch-math-review-generator 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 Review Generator?
The Math Review Generator is a specialized tool designed to produce professional-grade study guides for junior high school mathematics. By leveraging Openclaw Skills, this agent streamlines the content creation process, ensuring that every generated document adheres to strict academic standards and formatting guidelines. It bridges the gap between raw educational data and interactive learning materials by embedding original questions with full explanations and precisely rendered diagrams.
This skill goes beyond simple text generation by incorporating a rigorous validation layer. It ensures that mathematical proofs, geometric coordinates, and function behaviors are logically sound before delivery. Whether you are generating materials for geometry or algebra, this skill provides a robust framework for high-fidelity educational content delivery.
Math Review Generator Use Cases
- Generating chapter-specific revision guides for junior high school mathematics students.
- Creating original math practice sets with automated answer key generation and step-by-step solutions.
- Producing accurate SVG visualizations for geometric proofs and linear function behavior.
- Automating the creation of personalized error notebooks for targeted student remediation.
- Standardizing educational documents using predefined HTML/CSS templates for classroom use.
How Math Review Generator Works
- Reads the reference template guide to ensure consistent HTML structure and CSS styling.
- Generates an HTML document containing core knowledge points, mnemonic devices, and embedded SVG diagrams.
- Executes a mandatory Python validation script to verify SVG coordinate accuracy and geometric properties.
- Performs a logical check on all practice questions to ensure parameters (like discriminants or intercepts) yield solvable answers.
- Iteratively repairs any validation errors until the document reaches a zero-error state.
- Delivers the final file with a preview URL and logs the activity into the daily work memory.
Math Review Generator Setup
To utilize this skill within your environment, ensure you have the Python validation scripts available in your scripts directory. Use the following commands for manual verification:
# For Windows environments (ensuring UTF-8 encoding):
$env:PYTHONIOENCODING='utf-8'; python scripts/validate_svg.py {html_file_path} --verbose
# For Linux or macOS environments:
python scripts/validate_svg.py {html_file_path} --verbose
Math Review Generator Data Schema & Taxonomy
The skill organizes its output and tracking data through a structured file system and metadata taxonomy:
| Data Component | Format | Description |
|---|---|---|
| Output Files | {topic}_{YYYYMMDD}.html |
Interactive review guides containing SVG, content, and solutions. |
| Validation Logic | validate_svg.py / validate_questions.py |
Python scripts that enforce mathematical and visual integrity. |
| Templates | references/template_guide.md |
CSS/HTML standards and coordinate system definitions (180x180 viewport). |
| Session Logs | .workbuddy/memory/YYYY-MM-DD.md |
Persistent record of generated files, repair history, and question counts. |
Math Review Generator Advanced Features
- Multi-stage automated validation for both visual SVG assets and algebraic question logic.
- Dynamic SVG coordinate calculation using a centered origin (90, 90) for precise function rendering.
- Interactive answer-box components with toggleable visibility for self-assessment workflows.
- Intelligent discriminant check (Delta) to prevent the generation of unsolvable quadratic equations.
- Integrated work memory hooks that track content production metrics across multiple Openclaw Skills sessions.
SKILL.md
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