clarify

Route ambiguous requests to appropriate sub-skills via hypothesis-driven questioning.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/seungwonme/.claude --skill clarify-seungwonme
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clarify
Source: https://github.com/seungwonme/.claude/tree/main/skills/clarify
Command: npx skills add https://github.com/seungwonme/.claude --skill clarify-seungwonme

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clarify ambiguity in user requests, strategies, or approaches and route to the appropriate sub-skill for precise execution.

Core Features & Use Cases

  • Ambiguity detection and classification
  • Hypothesis-driven questioning to elicit concrete requirements
  • Automatic routing to vague, unknown, or metamedium sub-skills

Quick Start

Provide a vague user request and let the router select the appropriate sub-skill to begin hypothesis-driven clarification.

Frequently Asked Questions about clarify

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

FAQPage Schema
How do I clarify ambiguity in user requests and missing requirements?

To clarify ambiguity in user requests, you can use hypothesis-driven questioning to elicit concrete requirements, automatically routing vague inputs to the appropriate sub-skill for precise execution.

What is the best way to handle decision-making when strategic assumptions are unclear?

Handling decision-making with unclear strategic assumptions requires reframing the problem; this skill detects vague inputs and routes them to specialized sub-skills to extract precise parameters.

How do I route formatting decisions that require reframing to the right workflow?

You route formatting decisions by detecting ambiguity and using the AskUserQuestion tool to present hypothesis-driven forks, directing the request to the appropriate sub-skill protocol.

Does this approach work for detecting and classifying unknown parameters in a request?

Yes, this approach works for unknown parameters by applying ambiguity detection and classification, routing missing information to vague, unknown, or metamedium sub-skills for resolution.

When should I use hypothesis-driven questioning to resolve request ambiguity?

You should use hypothesis-driven questioning to resolve request ambiguity whenever a user provides a vague request and you need to elicit concrete requirements before executing a task.