mode-question-light

Inject a lightweight clarification context for prompts containing the #ql prefix.

3|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/benegessarit/skill-composer --skill mode-question-light
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mode-question-light
Source: https://github.com/benegessarit/skill-composer/tree/main/skills/mode-question-light
Command: npx skills add https://github.com/benegessarit/skill-composer --skill mode-question-light

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Light clarification context for prompts that include the #ql prefix, injecting a lightweight lens that fosters thoughtful questions rather than aggressive interrogation.

Core Features & Use Cases

  • Provides a lightweight clarification lens that is automatically applied when #ql is detected.
  • Defines a friendly stance (curious collaborator), behavior rules (ask 1-2 clarifying questions, propose reasonable assumptions and state them), and a concise tone to keep interactions helpful.
  • Use cases include reducing unnecessary questioning and preparing prompts for deeper modes like mode-question-heavy.

Quick Start

Detect #ql and inject the light-question context at the top of the prompt to guide clarifying interactions.

Frequently Asked Questions about mode-question-light

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

FAQPage Schema
How do I add clarifying questions to an ambiguous prompt without sounding aggressive?

Add a lightweight clarification lens to your prompt to ask 1-2 clarifying questions and state explicit assumptions. This approach frames you as a curious collaborator rather than an aggressive interrogator.

What is the best way to handle ambiguity in conversational design prompts?

The best way to handle ambiguity in conversational design is to inject a structured context that proposes reasonable assumptions and limits clarifying questions to one or two per interaction.

How do you inject a questioning context into a prompt using a prefix?

Inject a questioning context by adding a specific prefix like #ql to your prompt. This automatically triggers a lightweight instruction set at the top of the prompt to guide clarifying interactions.

Can I use a light clarification mode to prepare prompts for a deeper questioning mode?

Yes, you can use a light clarification mode to reduce unnecessary questioning and prepare your prompts for deeper modes. It establishes foundational assumptions before escalating to heavier interrogation.

Does a lightweight clarification lens require any dependencies or components to function?

No, a lightweight clarification lens requires no external dependencies or components to function. It operates through frontmatter-based registration to provide a non-intrusive instruction set.

When should I not use a light questioning context for prompt clarification?

You should not use a light questioning context when your prompt requires extensive interrogation beyond 1-2 clarifying questions. In such cases, preparing your prompt for a deeper questioning mode is more appropriate.