A specialized Mandarin Chinese learning engine for reviewing vocabulary and auditing speech within an agentic workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xuezh
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 xuezh 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 Xuezh Mandarin Learning Engine?
Xuezh is a sophisticated Mandarin Chinese learning engine designed to integrate seamlessly into AI agent environments. By leveraging advanced review algorithms and cloud-based speech processing, it allows developers and learners to automate and enhance language acquisition tasks. This skill provides a structured interface for managing learning items, logging progress, and processing spoken audio to ensure accurate pronunciation and high retention rates.
By incorporating Openclaw Skills like Xuezh into your development environment, you can build personalized learning loops that utilize AI to audit your speech and manage your study schedule. It bridges the gap between traditional language learning tools and automated CLI workflows, providing a robust backend for tracking learner state and educational outcomes.
Xuezh Mandarin Learning Engine Use Cases
- Conduct daily Mandarin vocabulary reviews based on spaced repetition logic.
- Audit spoken Chinese pronunciation using integrated Azure Speech services.
- Generate and fetch learner state snapshots to visualize progress over time.
- Programmatically manage and categorize specific learning items for targeted study sessions.
How Xuezh Mandarin Learning Engine Works
- Initialize the workflow by calling
xuezh snapshotto retrieve the current learner state and identify due items. - Formulate a short activity plan based on the items identified in the snapshot.
- Execute the learning activity, such as a review session or processing a voice utterance for audit.
- Log the outcomes of the session using the events command to update the learner's history and future review schedule.
Xuezh Mandarin Learning Engine Setup
To deploy this within the ecosystem of Openclaw Skills, you must configure the necessary Azure Speech credentials. The skill expects a state directory at .config/xuezh.
# Set required environment variables
export XUEZH_AZURE_SPEECH_KEY_FILE="/path/to/your/azure/key"
export XUEZH_AZURE_SPEECH_REGION="your-region"
# Initialize your first snapshot
xuezh snapshot --profile default
Xuezh Mandarin Learning Engine Data Schema & Taxonomy
Xuezh organizes learning data through structured state snapshots and event logs. The schema ensures consistency across review sessions and audio audits.
| Component | Description |
|---|---|
| Snapshot | A comprehensive JSON representation of the current learner state and due items. |
| Items | Individual Mandarin vocabulary or grammar points stored with metadata. |
| Events | A temporal log of all learning interactions and outcomes. |
| Profiles | Segregated state configurations for different learning contexts or users. |
Xuezh Mandarin Learning Engine Advanced Features
- Native support for Azure Speech-to-Text to perform automated pronunciation audits on wav files.
- Full JSON output mode for all CLI commands, enabling deep integration with other Openclaw Skills.
- Profile-based management for handling multiple learning tracks or distinct user profiles.
- Granular review controls allowing users to limit session size and focus on specific item types.
SKILL.md
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