ask-questions-if-underspecified

Ask 1-5 must-have questions to clarify underspecified requests before implementation.

21|4|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/gohypergiant/agent-skills --skill ask-questions-if-underspecified-gohypergiant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-questions-if-underspecified
Source: https://github.com/gohypergiant/agent-skills/tree/main/.agents/skills/ask-questions-if-underspecified
Command: npx skills add https://github.com/gohypergiant/agent-skills --skill ask-questions-if-underspecified-gohypergiant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents costly miscommunication by prompting for essential clarifications before starting work.

Core Features & Use Cases

  • Guided Clarifying Questions: Generates a minimal set of 1-5 must-have questions to resolve objective, scope, constraints, environment, and safety.
  • Structured Discovery: Pauses execution until must-have questions are answered or the user approves assumptions.
  • Use Case: When a request has multiple plausible interpretations, the AI collects missing details to proceed confidently.

Quick Start

Ask 1-5 must-have questions in response to an underspecified request. The AI will present concise questions and await answers before proceeding.

Frequently Asked Questions about ask-questions-if-underspecified

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

FAQPage Schema
How do I clarify underspecified requirements before starting software work?

To clarify underspecified requirements, generate a minimal set of 1-5 must-have questions targeting objectives, scope, constraints, environment, and safety before proceeding with implementation.

What is the best way to stop AI from making assumptions on vague requests?

To stop AI from making assumptions on vague requests, use structured discovery to pause execution until must-have questions are answered or the user explicitly approves assumptions.

How does guided discovery work for ambiguous project scopes?

Guided discovery works for ambiguous project scopes by applying structured questioning when objectives or constraints are unclear, ensuring alignment before implementation begins.

When do I need to ask clarifying questions for software tasks?

You need to ask clarifying questions for software tasks when a request has multiple plausible interpretations, preventing costly miscommunication by prompting for essential clarifications.

Can I approve assumptions instead of answering all clarifying questions?

You can approve assumptions instead of answering all clarifying questions, allowing the AI to proceed confidently when missing details are accepted without explicit answers.