A specialized skill designed to programmatically extract IELTS reading articles and question sets from Cambridge PDF materials into structured JSON format.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ielts-extractor
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 ielts-extractor 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 IELTS Test Data Extraction Skill?
The IELTS Test Data Extraction Skill is a robust tool designed for AI agents to navigate and parse complex Cambridge IELTS practice tests. It specializes in identifying specific reading passages and their corresponding questions, ensuring that even challenging dual-column layouts are captured with high accuracy. This skill is a vital component of Openclaw Skills for developers looking to build education platforms or data-driven study aids.
By automating the transition from static PDF documents to machine-readable JSON, it eliminates the manual overhead of data entry. It ensures that every reading passage, ranging from 1500 to 2500 words, is perfectly paired with its respective question types, including multiple-choice, heading matching, and fill-in-the-blanks.
IELTS Test Data Extraction Skill Use Cases
- Digitizing legacy Cambridge IELTS PDF collections for modern web applications.
- Building automated test banks for AI-powered IELTS preparation platforms.
- Extracting specific question types for targeted student practice sessions.
- Generating structured datasets for linguistic analysis of academic English.
How IELTS Test Data Extraction Skill Works
- Locate the specific test and reading passage within the PDF by searching for identifiers like Test X and READING PASSAGE Y.
- Execute continuous multi-page extraction to capture the full text, specifically handling complex two-column layouts common in academic papers.
- Identify and group questions by their specific pedagogical types, ensuring all options and sub-questions are included.
- Export the validated data into a standardized JSON structure within the specified project directory.
IELTS Test Data Extraction Skill Setup
To integrate this capability into your project using Openclaw Skills, ensure your directory structure is prepared and the necessary reference guides are in place:
# Create the data directory structure
mkdir -p ielts-tracker/data/tests/cambridge-4/test-1
# Ensure image assets folder exists
mkdir -p ielts-tracker/ielts-app/public/images/
# Verify reference documentation for extraction logic
ls references/pdf-extraction.md references/question-types.md
IELTS Test Data Extraction Skill Data Schema & Taxonomy
The skill organizes extracted data into a specific hierarchy for easy access by frontend applications. The schema includes:
| Path Components | Purpose |
|---|---|
cambridge-{edition} |
The specific Cambridge IELTS book number (e.g., 4, 5, 6). |
test-{number} |
The specific test number within the book. |
test.json |
The structured output containing the passage text and question objects. |
public/images/ |
Storage for any visual diagrams or charts extracted from the reading passage. |
IELTS Test Data Extraction Skill Advanced Features
- Intelligent two-column layout processing to maintain reading flow.
- Automated word count verification to ensure extraction completeness (1500-2500 words).
- Support for complex question mappings such as yes-no-not-given and fill-blank-summary.
- Seamless integration with Openclaw Skills for multi-agent workflows involving data cleaning and labeling.
SKILL.md
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