An intelligent higher mathematics problem generator designed for exam-oriented practice and adaptive difficulty scaling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install question-type-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 question-type-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 Question Type Generator?
The Question Type Generator is a specialized component of Openclaw Skills designed to serve as an expert in higher mathematics pedagogy. It focuses specifically on the rigorous requirements of postgraduate entrance exams, covering all chapters of standard curricula like the Tongji University 7th Edition Higher Mathematics. By leveraging advanced logical reasoning, it creates mathematically sound problems ranging from basic foundational checks to complex analytical challenges.
This skill bridges the gap between passive learning and active testing by providing students and educators with a dynamic source of fresh practice material. Whether you need a quick knowledge check or a full-scale mock exam, this Openclaw Skills integration ensures that every generated question aligns with current examination patterns and cognitive difficulty levels.
Question Type Generator Use Cases
- Creating custom practice sets for postgraduate mathematics entrance exams.
- Generating automated homework assignments for higher education instructors.
- Self-testing on specific difficult chapters like multivariable calculus or differential equations.
- Simulating exam environments with varied question formats and difficulty tiers.
How Question Type Generator Works
- The user triggers the skill by requesting math problems or specific exam practice scenarios.
- The skill analyzes the requested topic against the Tongji 7th Edition curriculum and common exam hotspots.
- It selects an appropriate difficulty level (Basic, Intermediate, or Challenge) based on the user's context.
- The engine generates a diverse set of questions including multiple-choice, fill-in-the-blank, and detailed proofs.
- It compiles a complete response including the problem statement, full step-by-step solution, and a breakdown of the key mathematical concepts tested.
Question Type Generator Setup
To integrate this skill into your local environment using the Openclaw Skills framework, follow these steps:
# Install the Openclaw CLI if you haven't already
npm install -g @openclaw/cli
# Add the question-type-generator to your agent config
openclaw add skill question-type-generator
# Verify the installation
openclaw list skills
Question Type Generator Data Schema & Taxonomy
The skill organizes its output into a structured format to ensure clarity for the end-user and compatibility with other Openclaw Skills.
| Attribute | Type | Description |
|---|---|---|
| Content | String | The text of the mathematical problem including LaTeX formulas. |
| Analysis | String | Detailed breakdown of the specific knowledge points tested. |
| Difficulty | Level | Categorized as Basic (⭐), Intermediate (⭐⭐), or Challenge (⭐⭐⭐). |
| Solutions | Markdown | Step-by-step derivation and final answer. |
| Category | Enum | Type of question (e.g., Calculation, Proof, Application). |
Question Type Generator Advanced Features
- Adaptive difficulty adjustment that scales based on user performance history.
- Support for Bloom's Taxonomy cognitive levels to ensure deep conceptual understanding.
- Multi-modal question generation including complex proof-based problems and applied engineering mathematics.
- Seamless integration with other Openclaw Skills for automated grading and progress tracking.
SKILL.md
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