ask-questions-if-underspecified

Ask clarifying questions when a request is underspecified before acting.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/hdkz-dev/multi-game-engines --skill ask-questions-if-underspecified-hdkz-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-questions-if-underspecified
Source: https://github.com/hdkz-dev/multi-game-engines/tree/main/.agent/skills/ask-questions-if-underspecified
Command: npx skills add https://github.com/hdkz-dev/multi-game-engines --skill ask-questions-if-underspecified-hdkz-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clarify requirements before starting work to prevent misinterpretation and scope creep.

Core Features & Use Cases

  • Asks 1-5 must-have clarifying questions in the initial pass to remove ambiguity.
  • Provides structured discovery templates and recommended defaults to streamline decisions.
  • Pauses before acting until the user confirms interpretations and assumptions are aligned.

Quick Start

Ask the user to provide project context and constraints, and respond with a concise clarification plan.

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 requirements before starting a planning workflow?

Requirement clarification prevents wrong work by enforcing a must-have questions step in the initial pass, removing ambiguity before any drafting starts. It provides structured discovery templates and pauses implementation until you confirm assumptions and interpretations are aligned.

What is the best way to prevent scope creep when drafting project plans?

The best way to prevent scope creep is to enforce a structured discovery phase that asks 1-5 must-have clarifying questions upfront. This pauses execution until you confirm interpretations, assumptions, and acceptance criteria are aligned before any drafting begins.

How do I handle underspecified requests in AI-led planning workflows?

Handle underspecified requests in AI-led workflows by pausing initial actions to ask 1-5 targeted clarifying questions. This ensures objectives, scope, and acceptance criteria are clear before proceeding, returning a clear interpretation plan with recommended defaults.

Can I use structured discovery templates to streamline project decisions?

Yes, you can use structured discovery templates to streamline project decisions by providing recommended defaults. This enforces a must-have questions step that removes ambiguity and pauses work until you confirm your interpretation plan and assumptions are aligned.

When should I pause implementation to ask clarifying questions?

Pause implementation to ask clarifying questions whenever a request is underspecified, meaning the objective, scope, or acceptance criteria are unclear. This prevents misinterpretation and wrong work before any drafting or planning actions begin.