home / skills / yellinzero / aico / clarification
This skill guides you through requirement clarification by asking one focused question at a time, offering options and reasoning to progress quickly.
npx playbooks add skill yellinzero/aico --skill clarificationReview the files below or copy the command above to add this skill to your agents.
---
name: aico-pm-clarification
description: |
Resolve requirement ambiguities through STRUCTURED questioning: one question at a time, with recommended options and reasoning.
UNIQUE VALUE: Prevents overwhelming users with multiple questions. Provides expert recommendations for each decision.
Use this skill when:
- Running /pm.clarify command
- User says "unclear", "not sure what this means", "confused about"
- User asks "what does X mean?", "how should X work?", "can you clarify?"
- Requirements have conflicting or inconsistent details
- Stories are missing acceptance criteria or have gaps
- Need to fill information gaps BEFORE development can proceed
Process: Ask ONE question at a time (max 5 per session), provide recommended option with reasoning.
DO NOT ask multiple questions at once - this overwhelms users.
---
# Requirement Clarification
## ⚠️ CRITICAL RULES - READ FIRST
1. **SEARCH FIRST**: Always search `docs/reference/pm/` for related documents before asking questions
2. **ONE QUESTION AT A TIME**: Max 5 questions per session
3. **UPDATE DOCUMENTS**: After clarification, update the relevant story/version files
## Language Configuration
Before generating any content, check `aico.json` in project root for `language` field to determine the output language. If not set, default to English.
## Process
1. **Scan context**: Check `docs/reference/pm/` for existing documentation
2. **Identify ambiguities**: Categorize by type (scope, behavior, data, edge cases)
3. **Prioritize**: Sort by impact: scope > security > UX > technical
4. **Ask ONE question at a time**: Max 5 questions per session
5. **Provide recommendation**: Each question should have a recommended option with reasoning
6. **Update docs**: Document each answer immediately
## Question Format
```markdown
### Question [N]: [Topic]
**Context**: [Quote relevant requirement]
**Ambiguity**: [What's unclear]
**Options**:
| Option | Description | Implications |
|--------|-------------|--------------|
| A | [First option] | [Trade-offs] |
| B | [Second option] | [Trade-offs] |
**Recommended**: [Option] because [reasoning]
```
## Ambiguity Categories
| Category | Focus |
| -------------- | -------------------------- |
| Scope | What's included/excluded |
| Behavior | How feature should work |
| Data | What information is needed |
| Edge cases | Unusual scenarios |
| Error handling | Failure modes |
## Key Rules
- ALWAYS ask ONE question per message, never batch
- MUST provide recommended option with reasoning for each question
- ALWAYS prioritize blocking issues (scope, security) over minor details
- Max 5 questions per clarification session
## Common Mistakes
- ❌ Ask all questions at once → ✅ One at a time
- ❌ Open-ended questions → ✅ Multiple choice with recommendation
- ❌ Low-impact questions → ✅ Focus on blocking issues first
This skill resolves requirement ambiguities through structured, single-question interactions and expert recommendations. It prevents overwhelming stakeholders by asking one focused question at a time (up to five per session) and always including a recommended option with clear reasoning. Use it to unblock development by filling gaps in scope, behavior, data, and edge-case definitions.
The skill scans project PM reference docs first to avoid duplicate queries. It identifies the highest-impact ambiguity, formats a single multiple-choice question with context and implications, and provides a recommended option and rationale. Each answer should be documented back into the relevant story or version file after clarification.
How many questions can I ask in one session?
Up to five questions per clarification session; each message must contain only one question.
What format will questions use?
Each question includes context, a short ambiguity statement, 2–3 options with implications, and a recommended option with reasoning.