A sophisticated multi-agent tutoring system that provides isolated, subject-specific learning environments for English, Mathematics, and Chinese.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install educlaw-agents
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 educlaw-agents 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 Educlaw Multi-Discipline Agent?
Educlaw is a specialized framework designed to streamline academic learning through the use of independent AI agents. By utilizing the Openclaw Skills architecture, Educlaw ensures that each subject—whether it be English, Math, or Chinese—operates within its own dedicated context. This prevents memory contamination and allows for highly specialized instruction sets tailored to the specific logic and rules of each discipline.
The system is built for users who require a focused educational experience where the AI understands the nuances of different academic fields. With an integrated routing system and a gamified points structure, it provides a structured path for continuous self-improvement and academic mastery.
Educlaw Multi-Discipline Agent Use Cases
- Switching between English grammar practice and mathematical problem solving without losing context.
- Implementing a structured AI tutoring system for multi-disciplinary students.
- Leveraging isolated memory blocks to ensure high-accuracy responses in technical subjects.
- Using the built-in incentive system to track and reward daily learning progress.
How Educlaw Multi-Discipline Agent Works
- The user provides a natural language input such as "I want to learn English."
- The system triggers an intent recognition layer to identify the specific subject required.
- The intelligent router directs the session to the corresponding subject agent (e.g., EnglishAgent or MathAgent).
- The selected agent loads its unique instructions and isolated memory history.
- Upon completion of learning exercises, the system updates the user's point balance to track progress.
Educlaw Multi-Discipline Agent Setup
To deploy this skill within your Openclaw Skills environment, follow these configuration steps:
# Navigate to the Educlaw directory
cd skills/educlaw
# Open the router configuration to define custom keywords or intents
vi router/config.yaml
# Ensure your environment variables for specific subject models are set
export EDUCLAW_VERSION="2.0.1"
Educlaw Multi-Discipline Agent Data Schema & Taxonomy
The Educlaw system organizes its technical components to maintain strict separation of concerns as part of the Openclaw Skills ecosystem:
| Component | File/Path | Description |
|---|---|---|
| Router Config | router/config.yaml |
Defines intent matching and agent routing logic |
| Subject Agents | /agents/ |
Contains specific instruction sets for English, Math, and Chinese |
| Memory Stores | /memory/ |
Isolated JSON files storing historical context per subject |
| Points Ledger | user/points.json |
Tracks user completion status and rewards |
Educlaw Multi-Discipline Agent Advanced Features
- Contextual Isolation: Ensures that linguistic rules from English do not interfere with mathematical logic through strict memory partitioning.
- Intelligent Intent Routing: Automatically detects when a user wants to switch subjects based on natural conversation.
- Customizable Routing: Developers can modify the YAML configuration to add new disciplines or modify trigger keywords within the Openclaw Skills framework.
- Integrated Gamification: A native points system designed to increase user retention and motivate consistent learning habits.
SKILL.md
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