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Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting elicitation sessions, or preparing requirements for specification.
npx skill4agent add melodic-software/claude-code-plugins elicitation-methodology| Scenario | Recommended Approach |
|---|---|
| Have stakeholders to interview | Use |
| Have documents/PDFs to mine | Use |
| Working solo, need perspectives | Use |
| Need domain knowledge | Use |
| Checking completeness | Use |
| Ready for specification | Use |
references/llmrei-patterns.mddocument-extractionstakeholder-simulationdomain-researchautonomy: guided
behavior:
- AI suggests questions, human approves
- Each requirement validated individually
- Human controls interview flow
- Maximum transparency
use_when:
- Sensitive or regulated domains
- Learning the elicitation process
- High-stakes requirementsautonomy: semi-auto
behavior:
- AI conducts interviews with checkpoints
- Human validates requirement batches
- Periodic progress reviews
- Balance of speed and control
use_when:
- Standard elicitation projects
- Moderate domain complexity
- Trusted AI capabilitiesautonomy: full-auto
behavior:
- Complete end-to-end elicitation
- Human reviews final output only
- Maximum efficiency
- AI handles all decisions
use_when:
- Well-understood domains
- Time pressure
- Preliminary discovery1. CONTEXT GATHERING
├── Load any existing business context
├── Identify available sources (stakeholders, docs, etc.)
└── Select autonomy level
2. MULTI-SOURCE ELICITATION
├── Interviews (if stakeholders available)
├── Document extraction (if docs available)
├── Domain research (MCP queries)
└── Stakeholder simulation (if solo mode)
3. SYNTHESIS
├── Consolidate requirements from all sources
├── Remove duplicates
├── Classify by type (functional, NFR, constraint)
└── Apply MoSCoW prioritization
4. VALIDATION
├── Gap analysis
├── Completeness checking
├── Conflict detection
└── INVEST scoring
5. OUTPUT
├── Save to .requirements/{domain}/
├── Generate summary report
└── Prepare for specification export# .requirements/{domain}/requirements.yaml
id: REQ-SET-{number}
title: "{Domain} Requirements"
domain: "{domain-name}"
elicitation_date: "{ISO-8601-date}"
autonomy_level: "{guided|semi-auto|full-auto}"
sources:
- type: interview|document|simulation|research
reference: "{source-identifier}"
timestamp: "{ISO-8601-date}"
requirements:
- id: REQ-{number}
text: "{requirement statement}"
source: "{source-type}"
source_ref: "{specific-reference}"
priority: must|should|could|wont
category: functional|non-functional|constraint|assumption
confidence: high|medium|low
validation_status: pending|validated|rejected
gaps_identified:
- category: "{requirement-category}"
description: "{what's missing}"
severity: critical|major|minor
metadata:
total_sources: {number}
total_requirements: {number}
gap_count: {number}
ready_for_specification: true|false/requirements-elicitation:export --to canonical # Canonical spec format
/requirements-elicitation:export --to ears # EARS pattern format
/requirements-elicitation:export --to gherkin # Gherkin/BDD formatinterview-conductingdocument-extractionstakeholder-simulationgap-analysisdomain-researchreferences/llmrei-patterns.mdreferences/technique-matrix.mdreferences/autonomy-levels.md