Generate 16 question cards from core concepts JSON into HWPX materials.
npx skills add https://github.com/dldcom/claude --skill hunter-questions
Please help me install this Agent Skill. Skill: hunter-questions Source: https://github.com/dldcom/claude/tree/main/.claude/skills/hunter-questions Command: npx skills add https://github.com/dldcom/claude --skill hunter-questions
This Skill automates the creation of 16 question cards from core concepts JSON, generating HWPX learning materials for educational purposes.
Use the hunter-questions skill to generate question cards from the core concept JSON file 'core_concepts.json'.
High-intent search queries and answers about installing and using this skill.
To generate question cards from a JSON file, you can use a Python script to parse core concepts and automatically format them into 16 distinct educational cards with blank and choice question types.
Creating HWPX learning materials from structured data is best done by automating JSON parsing to extract questions and answers, directly outputting them into the HWPX format for immediate educational use.
Yes, you can use Python to parse JSON files containing core concepts, process the extracted data, and output precisely 16 formatted HWPX question cards for learning materials.
Question card generation works by using Python to process a core concepts JSON file, extracting questions and answers to automatically assemble 16 varied blank and choice cards in HWPX format.
When creating learning materials from JSON, the generated question cards include various educational formats, specifically featuring blank and choice question types to test core concepts.
Yes, you need Python installed to automate HWPX question card creation, as it is required for parsing the input JSON files and processing the core concepts into the final output format.
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