clarify

Ask clarifying questions to resolve ambiguous prompts before taking action.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/fredericpoitevin/.cursor --skill clarify-fredericpoitevin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify
Source: https://github.com/fredericpoitevin/.cursor/tree/main/skills/clarify
Command: npx skills add https://github.com/fredericpoitevin/.cursor --skill clarify-fredericpoitevin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ensure you get clear and actionable prompts by prompting clarifying questions whenever requirements are ambiguous.

Core Features & Use Cases

  • Guided clarification: Automatically asks targeted questions to remove ambiguity before proceeding.
  • Decision-support prompts: Proposes concrete options to move the conversation forward when the user input is unclear.
  • Use Case: When a user asks for a report but doesn't specify scope or format, the skill elicits details to define the deliverable.

Quick Start

Ask clarifying questions when a prompt is unclear and present clear options to move forward.

Frequently Asked Questions about clarify

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

FAQPage Schema
How do I ask clarifying questions before taking action on an ambiguous prompt?

Clarifying questions resolve ambiguity in vague prompts by presenting concrete options through a guided questioning workflow, capturing user responses to define precise requirements before proceeding with any action.

What is the best way to resolve ambiguity in requirements gathering and decision-making?

The best way to resolve ambiguity in requirements gathering is to trigger targeted questions that propose decision-support prompts, moving the conversation forward by defining clear deliverables, scope, and format before execution.

Can I use clarifying questions for multi-step planning prompts with unclear scope?

Yes, you can use clarifying questions for multi-step planning prompts with unclear scope by automatically eliciting missing details and presenting structured options to ensure actionable and defined planning steps.

How does asking clarifying questions improve conversation outcomes when user input is unclear?

Asking clarifying questions improves conversation outcomes by identifying missing details in unclear input, proposing concrete options to the user, and ensuring the system captures accurate responses before taking action.

When should I not use a clarification workflow for a conversation?

You should not use a clarification workflow when a prompt is already specific, contains single-step clear instructions, or when immediate action is required without the overhead of decision-support prompts and option selection.