clarify-the-ask

Restates ambiguous requests with audience, decision, and deliverables before drafting.

33|10|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/andreaswasita/copilot-cowork-dojo --skill clarify-the-ask
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify-the-ask
Source: https://github.com/andreaswasita/copilot-cowork-dojo/tree/main/skills/clarify-the-ask
Command: npx skills add https://github.com/andreaswasita/copilot-cowork-dojo --skill clarify-the-ask

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Restate ambiguous requests to surface audience, decision, and deliverables before you start Copilot, reducing miscommunication and rework.

Core Features & Use Cases

  • Restate the ask with audience, decision, and constraints to ensure alignment.
  • Identify missing inputs and surface open questions to avoid drafting in the dark.
  • Use in vague, secondhand, or one-line requests to guarantee a clear path before drafting.

Quick Start

Restate the current request with audience, decision, and constraints before drafting.

Frequently Asked Questions about clarify-the-ask

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

FAQPage Schema
How do I clarify ambiguous requests before drafting with Copilot?

To clarify ambiguous requests, restate the ask by explicitly identifying the target audience, necessary decisions, and expected deliverables. This process surfaces missing inputs and open questions, ensuring alignment before drafting to reduce back-and-forth communication and rework.

What is the best way to stop drafting in the dark from one-line requests?

The best way to handle one-line requests is to restate the current request with its decision constraints and target audience before drafting. This guarantees a clear path and provides explicit input to prevent generating content without proper framing.

Why does vague prompt engineering lead to Copilot rework?

Vague prompt engineering leads to Copilot rework because ambiguous requests lack the necessary framing for accurate content generation. Without clarifying the audience and deliverables beforehand, Copilot drafts outputs based on missing inputs, requiring extensive revisions.

When do I need to clarify the ask with audience and deliverables?

You need to clarify the ask with audience and deliverables when you receive vague, secondhand, or one-line requests that arrive without framing. Clarifying these elements beforehand ensures explicit input to reduce back-and-forth and rework.

Can I use prompt engineering to identify missing inputs in secondhand requests?

Yes, you can use prompt engineering to identify missing inputs by restating secondhand requests to surface the audience, decision, and deliverables. This method highlights open questions and constraints to avoid drafting in the dark.