mode-clarify

Generate 2-3 interpretations of ambiguous prompts for user selection.

3|Updated Jan 31, 2026

Search Tags:#intent #prompt-engineering #AskUserQuestion #mode #disambiguate #interpretations #prompt-clarification

Ready to run

npx skills add https://github.com/benegessarit/skill-composer --skill mode-clarify

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mode-clarify
Source: https://github.com/benegessarit/skill-composer/tree/main/skills/mode-clarify
Command: npx skills add https://github.com/benegessarit/skill-composer --skill mode-clarify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ambiguity in prompts leads to wasted effort and incorrect results. This Skill surfaces 2-3 plausible interpretations before proceeding, ensuring alignment with user intent.

Core Features & Use Cases

Interpretation generation: Produce 2-3 distinct readings of an ambiguous prompt.
User selection workflow: Present options and execute only the selected interpretation.
Safety and clarity: Reduces misinterpretation in high-stakes prompts or multi-part questions.

Quick Start

To disambiguate a user question, trigger the clarification flow and select the most relevant interpretation.

Frequently Asked Questions about mode-clarify

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

FAQPage Schema

How do I disambiguate ambiguous prompts before processing them?▼

To disambiguate an ambiguous prompt, you trigger a clarification flow that generates 2-3 plausible interpretations of the user intent. The system then waits for the user to select the correct reading before executing the task.

Why does prompt clarification matter for high-stakes or multi-part questions?▼

Prompt clarification matters because ambiguity in high-stakes questions leads to wasted effort and incorrect results. Surfacing multiple interpretations reduces misinterpretation by confirming intent before proceeding with analysis.

When do I need to use intent disambiguation in prompt engineering?▼

You need intent disambiguation in prompt engineering when a user question has multiple valid readings or unclear intent. It applies specifically to prompts where distinct interpretations can be generated before proceeding.

What is the best way to handle multiple valid interpretations of a user question?▼

The best way to handle multiple valid interpretations is to surface 2-3 plausible readings and present them for user selection. This approach executes only the chosen interpretation to avoid ambiguity and wasted effort.

Does prompt clarification require any dependencies or specific components?▼

Prompt clarification does not require external dependencies or specific components. The Skill reads its internal YAML frontmatter for identity and generates interpretations autonomously without additional setup.