ask-better

Name: ask-better
Availability: InStock
Author: onblueroses

Guide question formulation to align with user intent.

3|Updated Mar 1, 2026

Search Tags:#code review #AI interaction #decision-making #questioning #agent-user alignment

Ready to run

npx skills add https://github.com/onblueroses/strata --skill ask-better

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ask-better
Source: https://github.com/onblueroses/strata/tree/main/skills/ask-better
Command: npx skills add https://github.com/onblueroses/strata --skill ask-better

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps align the AI's understanding with the user's intent by guiding the formulation of questions with minimal cognitive load.

Core Features & Use Cases

Agent-User Alignment: Minimizes the delta between the AI's internal model and the user's actual intent.
Confidence Check: Evaluates the need for a question based on the AI's current understanding.
Question Tiers: Prioritizes questions based on their importance (blocking, shaping, polishing).
Model Exposure: Encourages the AI to state assumptions and test them, improving efficiency and transparency.
Use Case: When reviewing code, the AI can use this Skill to ask targeted questions about the user's goals and constraints, ensuring a more efficient and accurate review.

Quick Start

Before formulating a question using AskUserQuestion, use the ask-better skill to ensure it aligns with the user's intent and is necessary.

Frequently Asked Questions about ask-better

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

FAQPage Schema

How do I improve AI interaction alignment during code review?▼

AI interaction alignment during code review improves by guiding the formulation of user questions with minimal cognitive load. This ensures the AI's internal model accurately reflects the user's actual intent before executing tasks.

What is tiered questioning in AI decision-making processes?▼

Tiered questioning in AI decision-making prioritizes inquiries based on importance, categorizing them into blocking, shaping, and polishing tiers. This structured approach maximizes alignment efficiency and clarifies user constraints.

How does a confidence check work for agent-user alignment?▼

A confidence check evaluates the need for a question based on the AI's current understanding of the context. It determines whether asking the user is necessary, reducing unnecessary interruptions and streamlining information gathering.

When should I use model exposure to enhance AI questioning efficiency?▼

Use model exposure to enhance AI questioning efficiency when you need the AI to state assumptions and test them transparently. This approach improves clarity and ensures questions align strictly with user goals.

Does this questioning approach require predefined user context?▼

Yes, this questioning approach requires a clear understanding of the user's context and goals beforehand. Establishing this baseline is necessary to effectively minimize the delta between AI understanding and user intent.