clarify-demand-uncertainty

Prompt clarifying questions to resolve underspecified requests during requirements gathering and AI instruction.

14|10|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/FlyAIBox/FlySkill --skill clarify-demand-uncertainty
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify-demand-uncertainty
Source: https://github.com/FlyAIBox/FlySkill/tree/main/skills/clarify-demand-uncertainty
Command: npx skills add https://github.com/FlyAIBox/FlySkill --skill clarify-demand-uncertainty

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams avoid scope drift by prompting clarifying questions when a request is underspecified.

Core Features & Use Cases

  • Clarification Workflow: Proactively requests essential details (goals, scope, constraints) to transform ambiguous requests into actionable tasks.
  • Decision Aids: Provides concise option sets and recommended defaults to guide stakeholders toward alignment.
  • Use Case: When a product brief lacks objective success criteria, use this skill to generate 3-5 clarifying questions.

Quick Start

Ask 4 clarifying questions when a request is underspecified and await answers.

Frequently Asked Questions about clarify-demand-uncertainty

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clarify ambiguous product requirements before development?

To clarify ambiguous product requirements, prompt stakeholders with a minimal set of 1-5 targeted questions covering goals, scope, and constraints. This enforces a pause for user confirmation, ensuring the underspecified request becomes an actionable task before work begins.

What is the best way to prevent scope drift when a project brief lacks objective success criteria?

Preventing scope drift involves proactively requesting essential details to transform ambiguous requests into aligned tasks. You can generate 3-5 clarifying questions to extract missing objective success criteria from stakeholders before proceeding.

How do I generate clarifying questions for underspecified requests during requirements gathering?

Generating clarifying questions for underspecified requests involves prompting for essential details and providing concise option sets with recommended defaults. This decision aid guides stakeholders toward alignment during requirements gathering.

Can I use automated clarifying questions for AI instruction when goals are unclear?

Yes, you can use automated clarifying questions for AI instruction when goals, scope, or constraints are unclear. The workflow applies a minimal set of 1-5 questions and pauses for user confirmation before the AI proceeds with the task.

Does this requirements clarification workflow provide option sets to guide stakeholder alignment?

Yes, the requirements clarification workflow provides concise option responses and recommended defaults as decision aids. These options guide stakeholders toward alignment when resolving an underspecified request.

What are the limitations of using a minimal set of clarifying questions for scope resolution?

A limitation of using a minimal set of 1-5 clarifying questions is that it enforces a strict pause for user confirmation before proceeding. This workflow focuses strictly on resolving underspecified goals and constraints, requiring stakeholders to actively answer to advance.