A comprehensive AI-driven system for generating, managing, and exporting standardized English practice workbooks and question banks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install english-practice
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-practice 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 Practice Workbook Generator?
The English Practice skill is a professional-grade tool designed to automate the lifecycle of English language learning materials. By utilizing Openclaw Skills, developers and educators can move beyond basic AI generation to a structured system featuring a persistent question bank, blueprint-based paper assembly, and rigorous content validation. It supports multiple curriculum versions (such as PEP and WY) across various grade levels.
This skill ensures high pedagogical quality by organizing content into eight distinct question types, including reading comprehension, cloze tests, and writing tasks. The architecture focuses on data integrity and variety, making it an essential component for any educational platform powered by Openclaw Skills.
English Practice Workbook Generator Use Cases
- Creating unique daily homework assignments for students in grades 3-9.
- Generating standardized mock exams with specific difficulty distributions (easy, medium, hard).
- Building a verified repository of English questions with automated deduplication and fingerprinting.
- Batch producing student workbooks and teacher answer keys in PDF format for physical distribution.
How English Practice Workbook Generator Works
- The system loads questions from a standardized JSON or SQLite question bank.
- It filters potential questions based on grade, curriculum version, and a 7-day usage history to prevent repetition.
- A blueprint algorithm selects questions based on required types and difficulty levels to ensure a balanced paper.
- Every question is validated against a schema and assigned a unique MD5 fingerprint to avoid duplicates.
- The assembler builds a complete paper structure, including metadata and scoring sections.
- The PDF generator processes the paper structure to output high-quality student and teacher versions.
English Practice Workbook Generator Setup
To get started with this skill, install the required Python dependencies and use the CLI or API for generation.
pip install fastapi uvicorn reportlab
# Generate a grade 7 workbook for the WY version
english-practice generate --grade 7 --version WY --count 20
English Practice Workbook Generator Data Schema & Taxonomy
The skill utilizes a unified schema for question management within Openclaw Skills to ensure interoperability.
| Field | Type | Description |
|---|---|---|
| id | String | Unique question identifier |
| type | String | One of 8 supported question types |
| fingerprint | String | MD5 hash of content for deduplication |
| status | String | Approval state: draft, approved, or rejected |
| tags | Array | Subject tags like 'daily_life' or 'weather' |
| content | Object | Type-specific data (options, passages, answers) |
English Practice Workbook Generator Advanced Features
- Intelligent fingerprinting using MD5 hashing to ensure zero content duplication across the database.
- Historical tracking that prevents the same question from appearing in a student's workbook for 7 consecutive days.
- Support for complex question types like reading comprehension with multiple sub-questions and cloze tests with passage-linked blanks.
- RESTful API integration allowing Openclaw Skills to connect with external web frontends or mobile apps.
- Automated PDF layout engine that generates professional formatting for both student exercises and teacher keys.
SKILL.md
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