ask-style

Reformat vague prompts into structured prompts with Context, Goal, Constraints, and Acceptance criteria.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/wapgear/izmailov-skills --skill ask-style
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask-style
Source: https://github.com/wapgear/izmailov-skills/tree/main/skills/ask-style
Command: npx skills add https://github.com/wapgear/izmailov-skills --skill ask-style

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reforms vague prompts into clear, structured prompts to guide AI tasks with better outcomes.

Core Features & Use Cases

  • Reformat vague requests into a structured prompt with clearly defined Context, Goal, Constraints, and Acceptance criteria.
  • Provide a ready-to-use reformatted prompt and clarifying questions for deeper requirements when needed.
  • Useful for prompt design, requirements gathering, and communication workflows.

Quick Start

Reformat a vague user request into a clear, structured prompt with Context, Goal, Constraints, and Acceptance criteria.

Frequently Asked Questions about ask-style

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

FAQPage Schema
How do I turn a vague AI prompt into a structured request with clear context and constraints?

Prompt design works by reformatting ambiguous requests into a structured format that defines Context, Goal, Constraints, and Acceptance criteria. This mechanism ensures AI tasks receive clear boundaries and specific goals, reducing misinterpretation and improving task outcomes.

How do I reformat a prompt to elicit better requirements for AI planning scenarios?

You reformat a prompt by breaking down the initial request and extracting its Context, Goal, Constraints, and Acceptance criteria. This produces a ready-to-use structured prompt and generates clarifying questions to help elicit deeper requirements for planning scenarios.

Can I use prompt rewriting to clarify goals and acceptance criteria across different domains?

Yes, prompt reformatting applies to diverse domains where clarity matters. By extracting Context, Goal, Constraints, and Acceptance criteria, the rewriting process clarifies goals and requirements across varied communication and planning workflows without domain-specific limitations.

What's the best way to structure a prompt for requirements gathering and communication workflows?

The best way to structure a prompt for requirements gathering is to reformat it into four defined sections: Context, Goal, Constraints, and Acceptance criteria. This structured approach aligns communication workflows and produces clarifying questions for deeper elicitation.

Why does my AI output miss the goal when I provide vague requests?

AI outputs miss the goal when vague requests lack defined Context, Goals, Constraints, and Acceptance criteria. Reformatting the prompt into a structured format clarifies the task boundaries, ensuring the AI understands the exact requirements and expected outcomes.