# Qualitative Coding

> | Code qualitative data — interview transcripts, open-ended survey responses, field notes, documents, social media — using inductive, deductive, or hybrid approaches. Generates and refines codebooks, applies codes consistently, identifies themes, and supports inter-rater reliability checks. Includes NLP-assisted techniques (sentiment, topic modeling, embeddings) for exploring large corpora. Trigger when: user mentions "thematic analysis", "code transcripts", "qualitative coding", "codebook", "themes", "open coding", "axial coding", "grounded theory", "content analysis", "inter-rater", "Cohen's kappa", "topic modeling", "NLP on transcripts", or runs /code-themes.

## Facts
- Page: https://tashan.sh/capability/skill-marazii-qualitative-coding
- tashan id: skill:Marazii/qualitative-coding
- Source: https://github.com/Marazii/research-co-pilot
- Type: skill
- Category: search
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 91.0
- Freshness: 80.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r qualitative-coding ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-05 by tashan (https://tashan.sh) from public evidence. Scorer s5.