An AI-driven skill for generating personalized, adaptive Calculus homework based on individual student performance and multi-modal content requirements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install calculus-homework-assignment
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 calculus-homework-assignment 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 Calculus Homework Assignment Skill?
The Calculus Homework Assignment skill is a sophisticated educational tool designed to bridge the gap between standardized curriculum and individual student needs. By leveraging Openclaw Skills, this tool analyzes student ability profiles across conceptual understanding, computational speed, and logical reasoning to curate the perfect set of problems. It supports advanced mathematical rendering via LaTeX and interactive visualization through GeoGebra, ensuring that students receive a high-quality, engaging learning experience.
This skill automates the entire lifecycle of assignment management, from student profiling and question selection to scheduled distribution and deadline reminders. Whether you are managing a single student or a large university cohort, the skill provides the technical infrastructure needed to deliver precision-targeted mathematics instruction at scale.
Calculus Homework Assignment Skill Use Cases
- Generating personalized Calculus homework sets for students with varying levels of mastery.
- Automating the scheduling and release of mathematics assignments for multiple class sections.
- Creating multi-modal study materials that include LaTeX formulas, interactive GeoGebra graphs, and audio hints.
- Analyzing historical student performance to identify specific weak points in topics like Taylor series or definite integrals.
How Calculus Homework Assignment Skill Works
- Analyze student profiles to determine mastery levels in key dimensions like computation and logic.
- Match the current teaching progress with specific knowledge topics from the internal taxonomy.
- Filter and select questions based on a customized difficulty distribution (Basic, Intermediate, and Advanced).
- Assemble the homework package by integrating LaTeX formulas and interactive multimedia elements.
- Schedule the assignment release and set automated deadline reminders for the target student groups.
Calculus Homework Assignment Skill Setup
To get started with this extension for Openclaw Skills, follow these installation steps:
# Clone the repository
git clone https://github.com/yourrepo/calculus-homework-assignment.git
# Install required Python dependencies
pip install -r requirements.txt
# Initialize the database and configurations
python setup_database.py
# Launch the service
python main.py --port 8000
Calculus Homework Assignment Skill Data Schema & Taxonomy
The skill organizes data into structured objects to ensure compatibility with various educational platforms.
| Object | Key Fields | Description |
|---|---|---|
| Homework | homework_id, topic, questions, total_time | The primary assignment container including metadata and question lists. |
| Question | id, type, latex, estimated_time | Individual task details with support for mathematical rendering. |
| Student Profile | overall_level, dimension_scores, weak_topics | Data-driven insights into student performance used for adaptation. |
| Schedule | release_time, deadline, reminder_hours | Configuration for automated task distribution. |
Calculus Homework Assignment Skill Advanced Features
- Multi-modal content support for embedding GeoGebra interactive visualizations and voice-based hints.
- Integration capabilities with external tools like question-type-generator and calculus-concept-visualizer.
- High-performance caching using Redis for rapid question bank retrieval and profile analysis.
- Asynchronous processing using asyncio to handle large-scale concurrent assignment generation.
SKILL.md
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