Ask Questions If Underspecified

What it does

This skill allows an AI agent to proactively ask clarifying questions when a user's prompt is ambiguous or underspecified. Instead of making assumptions, the agent will seek further details to ensure accurate and relevant responses. This leads to more precise outputs and reduces potential misunderstandings in complex tasks.

When to use it

• Complex Instructions: When providing multi-step instructions that could be interpreted in multiple ways.
• Open-Ended Requests: When asking for creative content or solutions where the desired outcome is not clearly defined.
• Ambiguous Data Analysis: When requesting analysis of data without specifying particular metrics or filters.
• Unclear Goals: When defining a project or task with vague objectives that require further refinement.

Key capabilities

• Identifies underspecified prompts.
• Generates clarifying questions.
• Incorporates user responses into the original request.

Example prompts

• "Write a blog post about cats." (The agent might ask: "What is the target audience? What specific aspects of cats should be covered?")
• "Analyze this data." (The agent might ask: "Which metrics are you interested in? Are there any filters to apply?")
• "Create a marketing campaign." (The agent might ask: "What product or service are we promoting? Who is the target demographic?")

Tips & gotchas

This skill requires careful prompt engineering; overly complex prompts may still be difficult for the AI to parse. Be prepared to answer the clarifying questions posed by the agent to ensure optimal results.