Parse research markdown files into structured JSON for test generation.
npx skills add https://github.com/dayoumin/mbti --skill research-parser
Please help me install this Agent Skill. Skill: research-parser Source: https://github.com/dayoumin/mbti/tree/main/.claude/skills/research-parser Command: npx skills add https://github.com/dayoumin/mbti --skill research-parser
์ฐ๊ตฌ ๊ฒฐ๊ณผ ํ์ผ(research/*.md)์ ์ฝ๊ณ ํ ์คํธ ์์ฑ์ ํ์ํ ๊ตฌ์กฐํ๋ ๋ฐ์ดํฐ๋ฅผ ์ถ์ถํฉ๋๋ค.
research/{subject}.md๋ฅผ ์ฝ๊ณ ํ์ฑํ์ฌ ์๋ ๊ตฌ์กฐ๋ก ์ถ๋ ฅํฉ๋๋ค.
High-intent search queries and answers about installing and using this skill.
Parse research markdown files by extracting sections for overview, dimensions, results, and questions into a JSON object containing meta, dimensions, resultLabels, and questionExamples. The parser reads markdown files and converts tabular dimensions, result sections, and question templates into structured data ready for automated test generation.
Dimension extraction pulls keys, names, emojis, descriptions, and numeric values from markdown tables or section blocks. These become a dimensions object with standardized fields that feed directly into personality and matching test frameworks.
Yes. A research parser extracts meta, dimensions, result labels with conditions and mood attributes, and question examples from markdown files, enabling fully automated generation of personality, matching, and situation tests without manual data entry.
The parser expects research markdown files organized into sections: overview, dimensions (with tabular data including keys, names, emojis, descriptions), result types (with names, emojis, descriptions, conditions, mood, and color), and question examples grouped by dimension.
Yes. The parser is implemented as a TypeScript script running on Node.js, designed to process markdown files from a research directory and output structured JSON compatible with Node-based test frameworks.
The parser outputs a JSON object with meta (file and subject metadata), dimensions (array of dimension objects), resultLabels (array with names, emojis, descriptions, conditions, mood, and color), and questionExamples (dimension-indexed question templates).
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