next-best-questions

Name: next-best-questions
Availability: InStock
Author: whichguy

Generate candidate questions and estimate information value using decision theory.

1|Updated Jun 23, 2026

Search Tags:#question generation #decision support #clarifying questions #information gain #value of information

Ready to run

npx skills add https://github.com/whichguy/hermes-skills-marketplace --skill next-best-questions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: next-best-questions
Source: https://github.com/whichguy/hermes-skills-marketplace/tree/main/skills/next-best-questions
Command: npx skills add https://github.com/whichguy/hermes-skills-marketplace --skill next-best-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you determine the most valuable questions to clarify before making a decision, optimizing the information gained from each question.

Core Features & Use Cases

Value of Information Estimation: Measures the value of information for each potential question based on its potential to change the outcome and the stakes involved.
Question Generation: Automatically generates a list of candidate questions based on the problem statement.
Use Case: Before starting a project, use this Skill to identify the key questions you need answers to before proceeding, ensuring you gather the most valuable information.

Quick Start

Run the 'next-best-questions' skill with the prompt "What should I consider before starting the project?"

Frequently Asked Questions about next-best-questions

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

FAQPage Schema

How do I identify the most valuable questions to ask before starting a project?▼

To identify valuable clarifying questions, use a decision theory framework that estimates the value of information for each candidate question based on its potential to change the outcome and the stakes involved. This optimizes information gain before proceeding.

What is the value of information in decision-making and when is it needed?▼

The value of information measures how much a potential clarifying question can change a decision's outcome and its associated stakes. It is needed when making decisions involving ambiguous or underspecified problems to ensure you gather the most impactful information first.

How to generate candidate questions for ambiguous or underspecified problems?▼

Generate candidate questions for ambiguous problems by running a local Ollama model against your problem statement. The model applies decision theory principles to automatically produce a list of clarifying questions prioritized by their estimated value of information.

Do I need local Ollama models to estimate the value of information for decision support?▼

Yes, local Ollama models are required to estimate the value of information and generate candidate questions. The Skill uses these local models to process your problem statement and apply decision theory principles for decision support.

What's the best way to prioritize clarifying questions for complex decision support?▼

The best way to prioritize clarifying questions is by measuring their value of information based on outcome impact and stakes. This approach distinguishes critical questions from low-value ones, ensuring you focus on information that actually changes your decision.

Can I use this question generation framework for small-scale decisions or only large projects?▼

You can use this question generation framework for any decision-making process involving ambiguous or underspecified problems, regardless of scale. It evaluates the stakes involved and potential outcome changes to identify valuable questions for both small and large projects.