An all-in-one English learning assistant designed to improve vocabulary, grammar, and communication through personalized AI-driven workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install english-learner
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 english-learner 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 English Learner Assistant?
The English Learner skill is a specialized framework within Openclaw Skills designed to facilitate systematic language acquisition. It integrates advanced pedagogical techniques, such as the Ebbinghaus forgetting curve for vocabulary retention and CEFR-aligned assessments, to ensure users progress from basic to advanced proficiency levels. By leveraging AI-agent-protocols, it provides real-time feedback on writing, pronunciation, and reading comprehension.
This skill transforms the AI into a dedicated tutor capable of managing complex learning lifecycles. Whether you are preparing for international exams like IELTS/TOEFL or improving business communication, the English Learner skill provides the structured environment needed for consistent growth. It localizes data management to ensure privacy while offering professional-grade tools for translation and grammar diagnostics.
English Learner Assistant Use Cases
- Preparing for English proficiency exams (IELTS, TOEFL, GRE) using specialized vocabulary lists.
- Improving business communication through professional email templates and writing critiques.
- Practicing oral English via situational dialogue simulations and pronunciation guidance.
- Reading and analyzing complex technical or news articles with sentence-by-sentence breakdowns.
- Tracking long-term learning progress through detailed statistics and automated error logs.
How English Learner Assistant Works
- Initial Assessment: Evaluates the user's current English level, including vocabulary size and grammar foundation.
- Personalized Planning: Generates a custom learning path based on assessment results and user goals (e.g., 30-day improvement plan).
- Daily Instruction: Delivers structured tasks across listening, speaking, reading, and writing modules.
- Real-time Feedback: Analyzes user input for grammatical accuracy, word choice optimization, and phonetic precision.
- Data-Driven Tracking: Records performance metrics to visualize the learning curve and identify areas needing reinforcement.
- Periodic Review: Triggers automated tests and review sessions for items stored in the mistake notebook.
English Learner Assistant Setup
To integrate this skill into your environment, follow these steps:
- Ensure you have the Openclaw Skills environment active.
- Clone the repository and navigate to the skill directory:
cd skills/english-learner
pip install -r requirements.txt
- Initialize your profile to begin the assessment:
python scripts/progress_tracker.py --init
English Learner Assistant Data Schema & Taxonomy
The skill manages a structured local data environment to store user progress and resources:
| Directory | Description | Key Files |
|---|---|---|
assets/ |
Static resources and templates | cefr_vocabulary_*.json, email_templates.md |
references/ |
Academic and pedagogical guides | grammar_reference.md, study_tips.md |
scripts/ |
Logic for AI-driven interactions | vocabulary_manager.py, grammar_checker.py |
local_data/ |
User-specific progress and logs | mistake_notebook.json, study_logs.csv |
English Learner Assistant Advanced Features
- Smart Memory Algorithms: Uses spacing effects to schedule vocabulary reviews at optimal intervals.
- Multi-Dimensional Writing Evaluation: Provides detailed feedback on logic, coherence, and lexical diversity.
- CEFR Alignment: Maps all learning materials and tests to the Common European Framework of Reference for Languages (A1-C2).
- Automated Mistake Management: Syncs errors from tests directly into a persistent mistake notebook for targeted practice.
- Export Capabilities: Support for exporting study data and flashcards to CSV or HTML formats for external use.
SKILL.md
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