Quick entry point for structured knowledge elicitation with epistemic tracking. PROACTIVELY activate for: (1) interviews and requirements gathering, (2) problem definition, (3) domain knowledge capture, (4) stakeholder elicitation, (5) assumptions surfacing. Triggers: "research interview", "elicit knowledge", "gather requirements", "define problem", "interview stakeholder", "capture domain knowledge"
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill research-interview --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: research-interview
description: >
Quick entry point for structured knowledge elicitation with epistemic tracking.
PROACTIVELY activate for: (1) interviews and requirements gathering, (2) problem definition,
(3) domain knowledge capture, (4) stakeholder elicitation, (5) assumptions surfacing.
Triggers: "research interview", "elicit knowledge", "gather requirements", "define problem",
"interview stakeholder", "capture domain knowledge"
argument-hint: [topic]
---
# Research Interview
Structured knowledge elicitation with epistemic tracking for problem definition and requirements gathering.
## When to Use
Use this skill when you need to:
- Elicit knowledge from stakeholders or domain experts
- Define a problem space systematically
- Gather requirements with confidence tracking
- Surface hidden assumptions and constraints
- Capture domain knowledge for later research
## Workflow
Invoke the `research-interviewer` skill for: "$ARGUMENTS"
### Default Parameters
| Parameter | Value | Rationale |
|-----------|-------|-----------|
| `output_format` | PROBLEM-STATEMENT | Default; produces actionable problem definition |
| `confidence_threshold` | 0.85 | High confidence required for conclusions |
| `validation_mode` | balanced | Mix of challenging and supportive questioning |
| `epistemic_tracking` | enabled | Track certainty levels throughout |
### Output Formats
Select based on your goal:
- **PROBLEM-STATEMENT** - Clear problem definition with constraints and success criteria
- **REQUIREMENTS** - Structured requirements with priority and confidence levels
- **KNOWLEDGE-CORPUS** - Domain knowledge capture for research continuation
### Interview Techniques Applied
1. **Open-ended exploration** - Surface the problem space
2. **Assumption challenging** - Identify hidden constraints
3. **Edge case probing** - Find boundary conditions
4. **Confidence calibration** - Assess certainty levels
5. **Gap identification** - Find missing information
### Epistemic Labels
All findings are tagged with confidence:
- **VERIFIED** - Confirmed by multiple sources or evidence
- **STATED** - Reported but not independently verified
- **INFERRED** - Derived from other information
- **SPECULATIVE** - Hypothesis requiring validation
- **UNKNOWN** - Explicit knowledge gap
## Output Format
The research interview produces structured output:
```xml
<interview-output>
<header>
<id>[unique identifier]</id>
<topic>$ARGUMENTS</topic>
<format>[PROBLEM-STATEMENT|REQUIREMENTS|KNOWLEDGE-CORPUS]</format>
</header>
<findings>
<finding confidence="[0.0-1.0]" epistemic="[VERIFIED|STATED|INFERRED|SPECULATIVE]">
[Key finding or requirement]
</finding>
<!-- ... more findings ... -->
</findings>
<assumptions>
<assumption status="[confirmed|challenged|unknown]">
[Assumption that was surfaced]
</assumption>
</assumptions>
<gaps>
<gap priority="[high|medium|low]">
[Information still needed]
</gap>
</gaps>
<next-steps>
1. [Recommended follow-up action]
2. [Additional research needed]
</next-steps>
</interview-output>
```
## Quality Gates
- [ ] Topic is clearly defined and scoped
- [ ] Key assumptions have been surfaced and examined
- [ ] Confidence levels assigned to all findings
- [ ] Information gaps explicitly identified
- [ ] Next steps actionable and specific
- [ ] Output ready for research-brief input
## Workflow Integration
This skill is the first step in the research pipeline:
```
/research-interview → /research-brief → /consolidate-research
(elicit) (design) (synthesize)
```
After completing a research interview, consider:
- Run `/research-brief` with the problem statement to design multi-LLM research
- Run `/evaluate-schema` if the topic involves data modeling
- Run `/compare-options` if multiple solutions were identified
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