This skill should be used when users have audio interview recordings to transcribe, need to convert PDF documents, mentions 'import data', 'transcribe', 'convert', or is starting data preparation for Stage 1 or Stage 2.
This skill should be used when users need to gather foundational literature, mentions 'literature review', 'theoretical patterns', 'Stream A', wants to search for academic papers, or is starting Stage 2 Phase 1 theoretical stream.
This skill should be used when users mention 'generate rules', 'isolation rules', 'methodology preset', 'apply preset', 'saturation', 'am I saturated', 'branch', 'fork', 'explore alternative', 'team', 'add researcher', 'intercoder reliability', 'dashboard', 'show status', or after /qual-design completes.
This skill should be used when patterns seem contradictory but both feel true, user is stuck in either/or thinking, theoretical and empirical streams seem irreconcilable, or user mentions 'paradox', 'tension', 'contradiction', 'both/and'. Helps integrate opposites at a higher level.
This skill should be used when users ask 'where am I?', 'what is my progress?', mentions 'status', 'dashboard', 'progress', wants to know if they are ready for the next stage, or needs an overview of their project state.
This skill should be used when users want to initialize a new qualitative research project, mentions 'setup', 'initialize', 'new project', 'getting started', or asks about establishing philosophical foundations and epistemic stance. Triggers on phrases like 'start my research project', 'create a new study', 'configure…
Dialogical coding for qualitative research. Acts as thinking partner in Stage 1 (never suggests codes, only asks questions) and reflexive coding partner in Stage 2 (4-stage visible reasoning). Use when coding interview transcripts, field notes, or other qualitative data.
Examine philosophical assumptions and check for methodological coherence. Use when users question their philosophical stance, their language contradicts their declared epistemology, they are moving between stages and want to verify coherence, or something feels 'off' about their analytical approach. Checks language…
Robust PDF and document conversion with intelligent tool selection. Chooses the best available conversion method based on document complexity and MCP availability.
Gioia method data structure building and validation for qualitative research. Helps researchers construct the three-level hierarchy (1st-order concepts, 2nd-order themes, aggregate dimensions) with validation and export capabilities.
Audio transcription and document conversion for qualitative data import. Converts interview recordings, PDFs, and other formats into analyzable markdown.
Initialize a new qualitative research project with Socratic onboarding. Guides researchers through philosophical foundation establishment via interactive dialogue. Use when starting a new project, setting up epistemic stance, or configuring methodological preferences.
Search, fetch, and organize academic literature for theoretical pattern extraction (Stage 2 Phase 1, Stream A). Implements graceful degradation based on available MCP servers.
Methodological integrity through isolation rules, preset application, and phase-aware guidance. Helps researchers maintain rigor throughout the analytical journey.
Deep reasoning and paradox navigation via MCP tools. Integrates Sequential Thinking for systematic analysis and Lotus Wisdom for navigating contradictions. Use when planning complex analysis, working through theoretical tensions, or making methodological decisions.
Shared infrastructure for Interpretive Orchestration. Provides state management, configuration I/O, batched file operations, and enforcement utilities for qualitative research projects. Use when working with .interpretive-orchestration/config.json, checking stage completion, updating progress, or validating project…
Progress dashboard and navigation for Interpretive Orchestration. Shows current stage, progress indicators, next steps, and atelier status. Use when checking progress, navigating between stages, or planning next steps.
Atelier of Co-Apprenticeship for interpretive qualitative research. Human and AI learn together as apprentices to the craft tradition (rigor, reflexivity, theoretical sensitivity). Three stages: Solo Practice → Side-by-Side Collaboration → Dialogue with Tradition. Prevents calculator mindset, embeds meta-cognition…