qualitative-digital

Community

NLP-assisted coding for rigorous digital qualitative analysis.

Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you transform messy interview transcripts and field notes into structured qualitative findings by supporting thematic analysis, grounded theory coding, and inter-rater reliability with NLP.

Core Features & Use Cases

  • NLP-assisted interview coding: Segment text into analyzable units and suggest open codes using semantic similarity and clustering.
  • Thematic analysis & grounded theory workflows: Support the full logic of open, axial, and selective coding, including codebook development.
  • Inter-rater reliability for coding validation: Compute metrics like Cohen’s kappa and discuss reliability thresholds to flag codebook ambiguity.
  • Visual analytics for qualitative rigor: Produce semantic cluster views, code-frequency charts, saturation curves, and co-occurrence network inputs.

Quick Start

Use the qualitative-digital skill on a set of interview transcripts to generate an NLP-assisted initial codebook, cluster similar coded units, and compute inter-rater reliability metrics for your coding scheme.

Dependency Matrix

Required Modules

None required

Components

Standard package

đź’» Claude Code Installation

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Please help me install this Skill:
Name: qualitative-digital
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#qualitative-digital

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