mode-question-light

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

3|Updated Jan 31, 2026

Search Tags:#clarification #assumptions #prompting #lens #tone-guidance #conversational-design #ambiguity-handling

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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.