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name: requirement-clarification description: Generate clarifying questions from research findings. MUST be used before planning phase. Validates requirements are complete and unambiguous before technical work begins.

Requirement Clarification Skill

Purpose

Transform ambiguous user requests into clear, implementable requirements.

When to Use

• After research phase completes
• Before planning phase begins
• When user requirements are unclear
• For non-technical user requests

Question Templates

For Scope Clarification

See question-templates/scope-questions.md

Common patterns:

• "Should [feature] also handle [edge case]?"
• "When [condition], what should happen?"
• "Is [assumption] correct, or do you need [alternative]?"

For Technical Decisions

See question-templates/technical-questions.md

Common patterns:

• "Do you have a preference between [A] and [B] for [purpose]?"
• "Should this integrate with [existing system]?"
• "What level of [performance/security] is required?"

For Constraints

See question-templates/constraint-questions.md

Common patterns:

• "Is there a deadline for this?"
• "Are there any [technology/approach] restrictions?"
• "Who will be using this feature?"

Question Quality Checklist

Each question must be:

• Specific (not vague)
• Answerable (user has the information)
• Impactful (answer affects implementation)
• Non-technical (accessible language)
• Defaultable (has fallback assumption)

Question Priority Levels

Must Answer (Blocking)

• Questions that block planning if unanswered
• Maximum 10 blocking questions
• Always provide defaults

Should Answer (Important)

• Questions that improve implementation quality
• Can proceed with defaults if not answered

Could Answer (Nice to Have)

• Questions for optimization
• Low impact on core implementation

Validation Script

Run scripts/validate-requirements.py to check:

• All blocking questions answered
• No contradictory requirements
• Technical feasibility confirmed
• Confidence levels assigned

Copypython scripts/validate-requirements.py <session-id>

Output Location

• Questions: docs/specs/questions-{session}.md
• Requirements: docs/specs/requirements-{session}.md

Integration with Workflow

1. Research phase produces findings in docs/research/
2. This skill generates questions from those findings
3. User answers questions
4. Validated requirements document is produced
5. Planning phase can begin