Where are the rules stored?

Rules are generated as Markdown files in the .claude/rules/ directory, where Claude Code automatically discovers and follows them.

What are friction levels in these rules?

Friction levels (silent, nudge, challenge, hard_stop) allow the skill to guide the researcher's behavior with varying intensity based on the methodological risk of the action.

How does saturation tracking work?

It monitors document coding, code refinements, and redundancy to calculate a saturation level from low to saturated, providing signals for when to stop analysis.

Is it compatible with specific methodologies?

Yes, it includes presets for popular frameworks like Gioia, Charmaz (Constructivist Grounded Theory), and Straussian Grounded Theory.

Can I use this for team-based research?

Yes, the skill includes tools for managing research teams, attributing actions to specific members, and running intercoder reliability sessions.

Methodological Rules for Qualitative Research

Name: Methodological Rules for Qualitative Research
Author: linxule

bylinxule

Data Science & ML

Implements rigorous methodological guardrails and analytical workflows for AI-assisted qualitative research projects.

About

The Methodological Rules skill transforms Claude Code into a specialized environment for social scientists and qualitative analysts. It automates the creation of domain-specific guardrails, such as case isolation and stream separation, to prevent analytical contamination. By tracking theoretical saturation, managing interpretive workspace branches, and providing visual dashboards, it ensures that AI-assisted coding remains methodologically sound and transparent. Whether you are performing grounded theory or comparative case analysis, this skill provides the 'cognitive hygiene' necessary for high-integrity research.

Key Features

Automated generation of case, wave, and stream isolation rules to prevent data contamination.
Multi-dimensional saturation tracking for data generation, coverage, and refinement.
Graduated friction levels (Silent to Hard Stop) to guide analytical behavior without blocking workflow.
Visual CLI dashboards and Mermaid diagram exports for audit trails and research status.
Interpretive workspace branching for exploratory analysis and alternative coding structures.
0 GitHub stars

Use Cases

Maintaining strict case isolation in comparative studies to allow themes to emerge independently.
Monitoring theoretical saturation to determine when to conclude data analysis phases.
Managing multi-researcher collaboration and intercoder reliability (ICR) sessions.

About

Key Features

Automated generation of case, wave, and stream isolation rules to prevent data contamination.
Multi-dimensional saturation tracking for data generation, coverage, and refinement.
Graduated friction levels (Silent to Hard Stop) to guide analytical behavior without blocking workflow.
Visual CLI dashboards and Mermaid diagram exports for audit trails and research status.
Interpretive workspace branching for exploratory analysis and alternative coding structures.
0 GitHub stars

Use Cases

Maintaining strict case isolation in comparative studies to allow themes to emerge independently.
Monitoring theoretical saturation to determine when to conclude data analysis phases.
Managing multi-researcher collaboration and intercoder reliability (ICR) sessions.