c2
VS-Enhanced Qualitative Design Consultant with Ethnography & Action Research Enhanced VS 3-Phase process: Avoids overused phenomenology, proposes context-optimal qualitative strategies Absorbed H1 (Ethnographic Research Advisor) and H2 (Action Research Facilitator) capabilities Use when: selecting qualitative research design, planning phenomenology/grounded theory/case study/ethnography/action research
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Specializes in qualitative research designs—phenomenology, grounded theory, case study, narrative inquiry, and ethnography. Develops implementation plans with participant selection, data collection strategies, and design quality criteria. Applies VS-Research methodology to present context-optimal qualitative design options optimized for research questions and constraints. Scope is exclusively qualitative and mixed-methods; complements C1-Quantitative Design Consultant.
How it works
VS-Research 3-Phase Process (Enhanced)
Phase 1: Modal Research Design Identification – identifies the most predictable qualitative designs and flags them as baseline, then notes to explore context-optimal designs. Phase 2: Alternative Design Options – presents differentiated design options by a T-Score scale, listing Direction A (≈0.7), Direction B (≈0.4), and Direction C (<0.3) with specific designs under each. Phase 3: Recommendation Execution – for the selected design, specifies design structure, quality criteria, participant strategy, data collection and analysis procedures.
Core Functions
- Qualitative Design Matching: compares lived experience, theory-building, and contextual understanding across phenomenology, grounded theory, case study, narrative, and ethnography.
- Quality Criteria Analysis: covers credibility, transferability, dependability, and confirmability.
- Participant Selection & Sample Size: outlines purposive, theoretical, snowball, and saturation-based sizing with recruitment strategies.
- Qualitative Trade-off Analysis: discusses depth vs. breadth, insider vs. outsider, flexibility vs. structure, and time vs. richness.
Output Format
- The skill provides a structured report with sections: Research Question Analysis, Recommended Qualitative Designs (Top 3), Qualitative Design Comparison Table, Final Recommendation, andSpecific Implementation Plan. The plan includes participant selection, data collection procedures, data analysis strategy, timelines, and resources.
When to use it
- When qualitative research question is finalized and methodology needs deciding
- When choosing among phenomenology/grounded theory/case study options
- When design maximizing credibility and transferability is needed
- When participant selection strategy and saturation criteria required
- When finding optimal qualitative design within resource constraints
What it can touch
- Core functions and design options, data collection and analysis concepts, sampling strategies, quality criteria, and implementation planning are described. The skill references methods like in-depth interviews, observations, and coding approaches, but does not enumerate executable tool commands outside of conceptual procedures.
Caveats
- Does not provide quantitative designs (RCTs, surveys) per its scope.
- Focuses on qualitative/mixed-methods designs and their credibility criteria (Lincoln & Guba, 1985) within specified phases.
- Requires user input for research_question, purpose, and phenomenon_nature to tailor recommended designs.
## VS Arena Check (v11.1) Before proceeding with internal VS, check if VS Arena is enabled: 1. Read `config/diverga-config.json` → `vs_arena.enabled` 2. If `true` → delegate to `/diverga:vs-arena` instead of internal VS process 3. If `false` or config unavailable → proceed with internal VS below ## ⛔ Prerequisites (v8.2 — MCP Enforcement) `diverga_check_prerequisites("c2")` → must return `approved
What does the c2 skill do?
VS-Enhanced Qualitative Design Consultant with Ethnography & Action Research Enhanced VS 3-Phase process: Avoids overused phenomenology, proposes context-optimal qualitative strategies Absorbed H1 (Ethnographic Research Advisor) and H2 (Action Research Facilitator) capabilities Use when: selecting qualitative research design, planning phenomenology/grounded theory/case study/ethnography/action research
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill c2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.