Does it support team collaboration?

Yes, it includes tools for managing research team roles, tracking researcher attribution for every analytical decision, and conducting formal intercoder reliability (ICR) sessions.

Can I use established methodologies like Grounded Theory?

Yes, the skill includes presets for various methodologies like Gioia, Charmaz, and Straussian, which automatically apply relevant isolation configurations, vocabulary, and proactive prompts.

What are friction levels in this context?

Friction levels determine how strictly a rule is enforced, ranging from 'silent' logging for low-risk boundaries to 'hard_stop' which blocks actions that violate critical methodological integrity.

How does this skill prevent cross-case contamination?

It generates specific isolation rules in .claude/rules/ that instruct the AI to focus only on data from specific case folders and ignore findings from other cases until the synthesis phase is reached.

How is saturation measured?

The saturation tracker monitors multi-dimensional signals including code generation, document coverage, and refinement patterns to provide a data-driven assessment of analytical depth.

Methodological Rules Claude Code Skill | Qualitative AI Research

This skill provides a comprehensive framework for maintaining epistemic integrity during qualitative analysis within Claude Code. By automatically generating context-aware rules based on your research design—such as case isolation, wave integrity, or stream separation—it prevents analytical drift and cross-case contamination. The skill features a graduated friction system that guides AI behavior from gentle nudges to hard stops, alongside specialized tools for tracking theoretical saturation, managing interpretive workspace branches, and facilitating multi-researcher collaboration with full attribution and reflexivity logging.

Características Principales

01Multi-dimensional saturation tracking (generation, coverage, refinement, and redundancy)

02Automated generation of .claude/rules/ based on research design and study type

03Interpretive workspace branching for exploratory, confirmatory, and negative case analysis

04Graduated friction levels (silent, nudge, challenge, hard_stop) to maintain boundaries

052 GitHub stars

06Comprehensive CLI dashboards for visualizing research status and analytical lineage

Casos de Uso

01Managing collaborative coding projects with multiple researchers using intercoder reliability sessions

02Monitoring theoretical saturation to determine data sufficiency and coding completion

03Maintaining strict case isolation in comparative qualitative studies to prevent premature synthesis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add linxule/interpretive-orchestration methodological-rules

For use in Claude.ai and ChatGPT

Download Skill

Características Principales

01Multi-dimensional saturation tracking (generation, coverage, refinement, and redundancy)

02Automated generation of .claude/rules/ based on research design and study type

03Interpretive workspace branching for exploratory, confirmatory, and negative case analysis

04Graduated friction levels (silent, nudge, challenge, hard_stop) to maintain boundaries

052 GitHub stars

06Comprehensive CLI dashboards for visualizing research status and analytical lineage

Casos de Uso

01Managing collaborative coding projects with multiple researchers using intercoder reliability sessions

02Monitoring theoretical saturation to determine data sufficiency and coding completion

03Maintaining strict case isolation in comparative qualitative studies to prevent premature synthesis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add linxule/interpretive-orchestration methodological-rules

For use in Claude.ai and ChatGPT

Download Skill

Qualitative Research Methodological Rules

Qualitative Research Methodological Rules

Características Principales

Casos de Uso

Características Principales

Casos de Uso