WordPal is an embedded AI English learning companion that uses the FSRS algorithm and personalized memory to help users master vocabulary through interactive chat.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wordpal
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install wordpal using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
WordPal is a sophisticated English learning companion designed to integrate directly into your chat environment through Openclaw Skills. It leverages the FSRS (Free Spaced Repetition Scheduler) algorithm to calculate optimal review intervals, ensuring long-term retention of new vocabulary. By analyzing your interaction history and memory within the agent environment, WordPal creates a personalized learning journey that moves beyond static word lists to provide dynamic, context-aware language building.
This skill is built for users who want to turn their daily digital interactions into learning opportunities. It supports 17 different question types and provides detailed AI-driven analysis of your learning state, making it a powerful addition to the ecosystem of Openclaw Skills.
To install and configure WordPal as part of your Openclaw Skills library, ensure you have the necessary runtime environment:
# Check for Node.js requirement
node --version
# The skill is managed via the Openclaw interface
# Ensure cron capabilities are enabled for reminders
All scripts are located in the {baseDir}/scripts/ directory and are invoked automatically by the AI agent during the session flow.
WordPal organizes its data through a structured system that tracks both linguistic progress and scheduling. While it uses an internal SQLite database, the data is categorized as follows:
| Data Type | Description |
|---|---|
| User Profile | Contains the unique user persona and linguistic baseline. |
| FSRS Metrics | Stores stability, difficulty, and retrievability scores for each word. |
| Question Bank | A collection of 17 question types including AI-generated context. |
| Event Logs | Tracks correct, wrong, hint-assisted, and skipped responses. |
| Hint Tokens | One-time valid tokens used to manage the hint-to-answer workflow. |
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