clarify

Convert ambiguous user requests into objective, answerable questions.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Hyeonjun0527/yeon --skill clarify-hyeonjun0527
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify
Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/clarify
Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill clarify-hyeonjun0527

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clarifies user intent by converting vague requests into objective, answerable questions.

Core Features & Use Cases

  • Wraps around the source-of-truth clarify command to ensure faithful execution.
  • Enables deterministic clarification workflows by following a predefined procedure.
  • Preserves user intent by applying provided arguments to the same workflow.

Quick Start

Read the source clarify command file and follow its steps exactly to produce a precise, objective interpretation of the user's intention.

Frequently Asked Questions about clarify

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

FAQPage Schema
How do I clarify ambiguous user intent in conversational AI workflows?

Clarifying ambiguous user intent involves converting vague requests into objective, answerable questions before proceeding. This approach ensures conversational workflows achieve precise goals through deterministic, structured clarifications.

What is the best way to structure clarifying questions for complex requirements?

The best way to structure clarifying questions is by applying a deterministic, source-of-truth driven workflow that converts ambiguous requests into objective multichoice formats, preserving the original input arguments throughout the process.

How does a structured clarification workflow handle vague conversational AI requests?

A structured clarification workflow handles vague requests by following a predefined procedure verbatim from a source command file. This process transforms ambiguous user goals into objective, structured questions to ensure accurate interpretation.

Do I need specific command files to implement a deterministic intent clarification process?

Yes, implementing a deterministic intent clarification process requires reading a source-of-truth command file, such as a clarify.md file. The workflow executes the steps defined in this file exactly to ensure faithful clarification.

When should I not use automated intent clarification in conversational workflows?

You should avoid automated intent clarification when a conversational workflow does not require precise goals or structured clarifications before proceeding. It is unnecessary for simple tasks where user intent is already objective and unambiguous.