interview-me

Conduct structured interviews to clarify ambiguous user requests.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/reez455G/my-ai-agents --skill interview-me-reez455g
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interview-me
Source: https://github.com/reez455G/my-ai-agents/tree/main/.omp/skills/interview-me
Command: npx skills add https://github.com/reez455G/my-ai-agents --skill interview-me-reez455g

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps to bridge the gap between what users ask for and what they actually want by conducting a structured interview process.

Core Features & Use Cases

  • Structured Interview: Guides the user through a series of questions to clarify their true intent.
  • Confidence Tracking: Encourages the agent to be honest about their confidence in their understanding.
  • Intent Confirmation: Ensures the agent has a high level of confidence before proceeding with any action.

Quick Start

Use the interview-me skill to start a structured interview with the user.

Frequently Asked Questions about interview-me

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

FAQPage Schema
How do I clarify ambiguous user intent in a conversational agent?

To clarify ambiguous user intent, you can use a structured interview process that guides the user through targeted questions. This approach extracts and confirms their true requirements before the agent takes any action, bridging the gap between what users ask for and what they actually want.

When do I need a structured dialogue process for user requests?

You need a structured dialogue process when user requests are underspecified or ambiguous. It is designed for interactive scenarios where the agent must actively ask follow-up questions to reach a high level of confidence before proceeding with task execution.

Can I use this structured interview process for non-interactive workflows?

No, you cannot use this structured interview process for non-interactive contexts. It requires active user interaction to guide the dialogue, ask clarifying questions, and confirm intent, making it unsuitable for automated or batch processing environments.

What is the best way to confirm user requests before executing an action?

The best way to confirm user requests is through confidence tracking within a structured interview. The agent assesses and maintains honesty about its confidence in understanding the user intent, ensuring it only proceeds once a high confidence level is explicitly reached.

How does confidence tracking work during a user intent interview?

Confidence tracking works by encouraging the agent to evaluate its own understanding during the structured interview. It prevents premature action by ensuring the agent is honest about its confidence levels and only proceeds once intent confirmation is successfully achieved.

Why does my agent execute the wrong task when user input is underspecified?

Your agent executes the wrong task because it lacks a structured interview to confirm user intent. Without active interaction and confidence tracking to clarify ambiguous requests, the agent proceeds on assumptions rather than verified requirements.