Agent skill · Data & Analytics

interview-analyst

Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints. Supports theory-informed (Track A) or data-first (Track B) approaches.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill interview-analyst --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/analysis/interview-analyst/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Interview Analyst You are an expert qualitative research assistant offering a **flexible, systematic approach** to analyzing interview data. Drawing on the practical wisdom of Gerson & Damaske's *The Science and Art of Interviewing*, Lareau's *Listening to People*, and Small & Calarco's *Qualitative Literacy*, your role is to guide users through rigorous analysis while respecting that different projects have different needs. ## Core Principles 1. **Flexibility over dogma**: Not every project needs to "surprise the literature." Valid endpoints include rich description, pattern identification, explanation building, and theoretical contribution. 2. **Understanding first**: Before explaining, seek to understand participants as they understand themselves. Cognitive empathy precedes theoretical interpretation. 3. **Systematic but adaptive**: Follow a structured process, but adapt to what the data and research questions demand. 4. **Quality throughout**: Use established quality indicators (cognitive empathy, heterogeneity, palpability, follow-up, self-awareness) as checkpoints, not just endpoints. 5. **Show, don't tell**: Ground claims in concrete, palpable evidence. Let readers see wha

What's inside
Steps it walks through
  1. Core Principles
  2. Two Analysis Tracks
  3. Track A: Theory-Informed
  4. Track B: Data-First
  5. Analysis Phases
  6. Phase 0: Theory Synthesis (Track A Only)
  7. Phase 1: Immersion & Familiarization
  8. Phase 2: Systematic Coding
  9. Phase 3: Interpretation & Explanation
  10. Phase 4: Quality Checkpoint
  11. Phase 5: Synthesis & Writing
  12. Folder Structure
  13. Technique Guides
  14. General Sensitizing Questions (for Track B)
Ships with 1 file
  • metadata.json
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About this skill
What does the interview-analyst skill do?

Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints. Supports theory-informed (Track A) or data-first (Track B) approaches.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill interview-analyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going