requirement-understanding

Convert ambiguous user input into a one-sentence goal with clarifying questions.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/walker-hzx/AI-Assistant --skill requirement-understanding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: requirement-understanding
Source: https://github.com/walker-hzx/AI-Assistant/tree/main/skills/requirement-understanding
Command: npx skills add https://github.com/walker-hzx/AI-Assistant --skill requirement-understanding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps rapidly understand what a user truly wants by distilling vague input into a single, clear goal, reducing back-and-forth and speeding up alignment.

Core Features & Use Cases

  • Rapid clarification: Convert hazy ideas into a concise one-sentence objective.
  • Targeted questioning: Ask 1-2 focused questions to resolve ambiguity before proceeding.
  • One-sentence outcomes: Produce a crisp user goal and outline immediate next steps.

Quick Start

Describe your idea briefly and I will return a one-sentence user goal with clarifying questions.

Frequently Asked Questions about requirement-understanding

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

FAQPage Schema
How do I clarify user intent from vague product ideas?

To clarify user intent from vague product ideas, you input a brief description and receive 1-2 targeted questions to resolve ambiguity, resulting in a single clear goal sentence and next steps.

What is the best way to convert ambiguous requirements into a one-sentence goal?

The best way to convert ambiguous requirements into a one-sentence goal is to distill conflicting user descriptions through focused clarification, producing a crisp objective that speeds up alignment and reduces back-and-forth.

How does requirement discovery work for conflicting user descriptions?

Requirement discovery for conflicting user descriptions works by accepting a hazy idea, prompting focused questions to eliminate conflict, and returning a distilled one-sentence user goal for immediate product alignment.

Can I use this for rapid prototyping when user descriptions are unclear?

Yes, you can use this for rapid prototyping when user descriptions are unclear. It rapidly converts hazy input into a concise one-sentence objective, enabling faster iteration and targeted questioning during product discovery.

Do I need to provide structured input for requirement clarification?

No, you do not need to provide structured input for requirement clarification. You simply describe your idea briefly in natural language, and it returns a crisp user goal along with suggested next steps.