Alfred Ask User Questions - Skill Guide

Alfred Ask User Questions - Skill Guide

Skill Metadata

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What It Does

Purpose: Empower Alfred sub-agents to actively ask clarifying questions whenever user intent is ambiguous, rather than guessing.

Leverages Claude Code's native AskUserQuestion tool to collect explicit, structured user input that transforms vague requests into precise specifications.

Key capabilities:

• ✅ Single-select & multi-select option types
• ✅ 1-4 questions per survey (avoid fatigue)
• ✅ 2-4 options per question (prevent choice overload)
• ✅ Automatic "Other" option for custom input
• ✅ Conditional branching based on answers
• ✅ Integration across all Alfred commands (Plan/​Run/​Sync)
• ✅ Reduces ambiguity → fewer iterations → faster execution

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When to Ask (Trigger Patterns)

✅ ASK when user intent is ambiguous:

1. Vague noun phrases: "Add dashboard", "Refactor auth", "Improve performance"
2. Missing scope: No specification of WHERE, WHO, WHAT, HOW, WHEN
3. Multiple valid paths: ≥2 reasonable implementation approaches
4. Trade-off decisions: Speed vs quality, simple vs comprehensive, etc.
5. Risky operations: Destructive actions needing explicit consent

❌ DON'T ask when:

• User explicitly specified exact requirements
• Decision is automatic (no choices)
• Single obvious path exists
• Quick yes/​no confirmation only (maybe, but keep it brief)

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Core Principle: Just Ask!

Golden Rule: When in doubt, ask the user instead of guessing.

Why:

• ✅ User sees exactly what you'll do → no surprises
• ✅ Single interaction vs 3-5 rounds of back-and-forth
• ✅ Fast → execute with certainty
• ✅ Reduces "vibe coding" frustration

Pattern:

Ambiguous request detected
         ↓
Call AskUserQuestion({questions: [...]})
         ↓
User selects from clear options
         ↓
Proceed with confirmed specifications

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Quick Start: Minimal Invocation

const answer = await AskUserQuestion({
  questions: [
    {
      question: "How should we implement this?",
      header: "Approach",          // max 12 chars
      multiSelect: false,
      options: [
        {
          label: "Option 1",       // 1-5 words
          description: "What it does and why you'd pick it."
        },
        {
          label: "Option 2",
          description: "Alternative with different trade-offs."
        }
      ]
    }
  ]
});

// Returns: { "Approach": "Option 1" }

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Key Constraints

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Top 5 Usage Patterns

Pattern 1: Implementation Approach

Trigger: "Add feature X" or "Build Y" without specifics

Pattern 2: Confirmation (Risky Operations)

Trigger: Destructive action (delete, migrate, reset)

Pattern 3: Multi-Option Feature Selection

Trigger: "Which framework/​library/​approach?"

Pattern 4: Multi-Select (Independent Features)

Trigger: "Which features to enable/​include?"

Pattern 5: Sequential Questions (Conditional Flow)

Trigger: Dependent decisions (Q2 depends on Q1 answer)

Detailed examples and code: See examples.md

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Integration with Alfred Sub-agents

Detailed integration patterns: See reference.md

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Best Practices Summary

✅ DO

• Be specific: "Which database type?" not "What should we use?"
• Provide context: Include file names, scope, or impact
• Order logically: General → Specific; safest option first
• Flag risks: Use "NOT RECOMMENDED" or "CAUTION:" prefixes
• Explain trade-offs: Mention time, resources, complexity

❌ DON'T

• Overuse questions: Only ask when ambiguous
• Too many options: 2-4 per question max
• Vague labels: "Option A", "Use tokens", "Option 2"
• Skip descriptions: User needs rationale
• Hide trade-offs: Always mention implications

Complete best practices guide: See reference.md

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Error Handling

User Cancels (ESC key)

try {
  const answer = await AskUserQuestion({...});
} catch (error) {
  console.log("User cancelled survey");
  // Fall back to default or abort
}

Validate Custom Input ("Other" option)

const answer = await AskUserQuestion({...});

if (answer["Header"] === "Other" || !VALID_OPTIONS.includes(answer["Header"])) {
  validateCustomInput(answer["Header"]);
}

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Related Skills

• moai-alfred-spec-metadata-validation (SPEC clarity)
• moai-alfred-ears-authoring (requirement phrasing)
• moai-foundation-specs (SPEC structure)

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Quick Reference

When to use:

• User intent is ambiguous
• Multiple valid approaches exist
• Architectural decisions with trade-offs
• Approvals needed before risky ops

How:

1. Detect ambiguity (vague request, multiple paths, etc.)
2. Call AskUserQuestion({ questions: [...] })
3. User selects from clear options
4. Proceed with confirmed specifications

Benefits:

• ✅ Certainty instead of guessing
• ✅ Single interaction vs 3-5 iterations
• ✅ Faster, happier users
• ✅ Less "vibe coding" frustration

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For detailed API specifications: reference.md
For real-world examples: examples.md

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End of Skill | Refactored 2025-10-27