grounded-theory-expert

Community

Turn raw qualitative data into grounded theory

Authorptreezh
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill solves the problem of turning messy qualitative data into a structured grounded theory by guiding researchers through open coding, axial coding, selective coding, memo writing, and theory saturation checks.

Core Features & Use Cases

  • Open Coding (开放编码): Extract initial concepts from segmented qualitative text and organize them with concept definitions and examples.
  • Axial Coding (轴心编码): Cluster concepts into categories, analyze category properties, build relationships, and construct a simplified Paradigm model (conditions–context–action–consequences).
  • Selective Coding (选择式编码): Identify a core category, build a coherent storyline, and integrate a theory framework with propositions and mechanisms.
  • Memo Writing & Saturation: Generate stage-appropriate memos and assess whether new data yields new concepts/relationships to judge theoretical saturation.

Quick Start

Use the grounded-theory-expert skill to analyze your Chinese interview/transcript text by providing it as JSON with text_data (or segments) and optionally new_data for saturation testing.

Dependency Matrix

Required Modules

jiebapandasnumpy

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: grounded-theory-expert
Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#grounded-theory-expert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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