Can I use my own coding framework with this skill?

Yes, you can load custom coding frameworks using the --framework flag to ensure the AI's analysis aligns with your specific theoretical lens or project requirements.

What is the 4-stage reasoning process?

It includes Tentative Mapping (initial reading), Self-Challenge (bias checking), Structured Output (final decision with rationale), and Reflective Audit (limitations and alternatives).

Does Qual-Coding suggest codes automatically?

In Stage 1, the skill acts strictly as a thinking partner and never suggests codes to avoid influencing the researcher; in Stage 2, it provides coding suggestions using a transparent, 4-stage reasoning process.

Where are the analysis logs and audit trails stored?

Detailed 4-stage reasoning logs are stored in the .kimi/reasoning/ directory, while coded data and conversation histories are saved to specialized collaboration folders.

Qual-Coding: Qualitative Research Partner

Name: Qual-Coding: Qualitative Research Partner
Author: linxule

bylinxule

•

Data Science & ML

Facilitates reflexive qualitative data analysis through dialogical questioning and multi-stage visible reasoning.

Qual-Coding is a specialized skill for the Interpretive Orchestration framework, designed to support qualitative researchers through two distinct analytical phases. In Stage 1, it acts as a non-directive thinking partner that helps researchers articulate intuitions through open-ended questioning without suggesting codes. In Stage 2, it transforms into a dialogical coder that performs rigorous, 4-stage visible reasoning—encompassing mapping, self-challenging, structured output, and reflective auditing. This approach ensures transparency, minimizes bias, and maintains a comprehensive audit trail for interview transcripts, field notes, and other qualitative datasets within the Claude Code environment.

Key Features

01Support for custom coding frameworks and batch document processing

02Automated analytical memo generation and tracking

03Detailed reasoning logs stored for methodological transparency

042 GitHub stars

05Stage 1 Non-Directive Dialoguing to help articulate researcher intuitions

06Stage 2 Reflexive 4-Stage Reasoning (Mapping, Self-Challenge, Output, Audit)

Use Cases

01Reflexive coding of qualitative data with visible bias-checking and self-challenge

02Generating transparent audit trails for academic research and methodology reports

03Initial exploration and theme-finding in raw interview transcripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add linxule/interpretive-orchestration qual-coding

For use in Claude.ai and ChatGPT

Download Skill