# Qualitative Analysis

> Develop and apply a traceable qualitative codebook to interviews, open-ended responses, field notes, or text corpora, preserving coded excerpts, reflexive notes, disagreements, and negative cases. Use for qualitative coding and thematic synthesis; do not substitute generic summarization or tabular statistics.

- Skill: `timsmykov/qualitative-analysis` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add timsmykov/qualitative-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/timsmykov/qualitative-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: timsmykov (https://skillmd.com/u/timsmykov)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/timsmykov/qualitative-analysis

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# Qualitative Analysis

Support an accountable researcher with a visible chain from source segment to code, category, theme, and interpretation. Never invent participant statements or present model-generated themes as if they were observed data.

## Procedure

1. Confirm authorization, privacy constraints, research question, sampling context, unit of coding, and analytic orientation.
2. Draft a codebook with stable IDs, definitions, inclusion and exclusion criteria, and examples. Run `scripts/validate_codebook.py`.
3. Obtain researcher approval before applying the codebook broadly.
4. Preserve source IDs and segment locators for every code application. Record uncertainty, disagreements, reflexive notes, and negative cases.
5. Build themes only from coded evidence. Distinguish participant evidence, researcher interpretation, and unanswered questions.

## Boundaries

This skill does not guarantee saturation, inter-coder reliability, representativeness, anonymity, or methodological validity. Do not expose sensitive source text beyond the authorized workspace.