What is 'Deep Structure Analysis' in this context?

It is an advanced synthesis step where the skill looks beyond surface-level summaries to identify underlying mechanisms, tensions, and the logic behind participant perceptions.

Can I provide background context for the analysis?

Yes. By placing a context.md file in the root directory, you can provide the AI with research goals, demographics, and background information to ensure higher interpretive accuracy.

Does this skill modify my original files?

The skill renames files to add numerical indices for organization. It is recommended to perform analysis on a copy of your data or ensure you have backups before running the scripts.

What file formats does the thematic-analysis skill support?

The skill supports common text-based formats including .txt, .md, and .docx files within a target directory.

How does this skill maintain data traceability?

It assigns unique index IDs to every file and sentence (e.g., 01-005), ensuring that every extracted theme and insight is linked back to specific citations in your source data.

Thematic Analysis

Name: Thematic Analysis
Author: ncukondo

byncukondo

0•

데이터 과학 및 ML

Performs systematic qualitative thematic analysis on document collections to extract deep structural insights and categorized themes.

Thematic Analysis is a specialized Claude Code skill designed for qualitative researchers and data analysts to systematically process text files such as interview transcripts, survey responses, and field notes. It automates the rigorous research workflow by indexing files, breaking content into sentence-level data for traceability, and extracting 5-15 distinct themes. Unlike basic summarization tools, this skill performs a 'Deep Structure Analysis' that examines underlying mechanisms, paradoxes, and socio-cultural contexts, delivering a comprehensive report in Markdown format complete with specific citations and ID-tracked references.

주요 기능

01Context-aware analysis using optional metadata to guide research-specific interpretations.

020 GitHub stars

03Deep structural synthesis exploring underlying mechanisms and relationship dynamics.

04Structured Markdown output including comprehensive summaries and indexed reference IDs.

05Automated file indexing and sentence-level CSV generation for precise data traceability.

06Systematic extraction of 5-15 qualitative themes with evidence-backed citations.

사용 사례

01Synthesizing large volumes of customer feedback to identify recurring pain points and latent needs.

02Analyzing semi-structured interview transcripts for academic or social research.

03Conducting discourse analysis on internal documentation or project post-mortems.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ncukondo/agent-plugins thematic-analysis

For use in Claude.ai and ChatGPT

Download Skill