plain-text-questions

Solicit clarifying questions from users in a numbered plain-text list.

3|1|Updated Mar 11, 2026

Search Tags:#decision making #requirements #clarification #user input #questions

Ready to run

npx skills add https://github.com/jon23d/skillz --skill plain-text-questions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plain-text-questions
Source: https://github.com/jon23d/skillz/tree/main/skills/plain-text-questions
Command: npx skills add https://github.com/jon23d/skillz --skill plain-text-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a standardized and effective way to ask users for necessary information, gather requirements, make decisions, or confirm details before proceeding with a task.

Core Features & Use Cases

User Input Gathering: Collects specific information from the user in a structured format.
Decision Making: Facilitates AI-driven decisions by prompting the user for input.
Confirmation: Ensures alignment with user expectations before executing actions.
Use Case: Before refactoring a large code module, the AI can use this Skill to ask the user about the project's framework, whether the refactor should replace or coexist with existing code, and which components to prioritize.

Quick Start

Ask the user a numbered list of questions to gather requirements for a new feature.

Frequently Asked Questions about plain-text-questions

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

FAQPage Schema

How do I gather requirements from a user before starting a task?▼

To gather requirements, you can prompt the user with a structured, plain-text, numbered list of questions. This method ensures clear alignment and collects necessary input before executing any complex workflow.

What is the best way to ask clarifying questions for decision making?▼

Asking clarifying questions for decision making is best handled through direct natural language interaction. You present a numbered list to solicit specific user input, strictly avoiding automated question tools to maintain conversational flow.

Can I use a structured format to confirm details with the user before executing actions?▼

Yes, you can use a structured plain-text format to confirm details before executing actions. By generating a numbered list of questions, you ensure alignment with user expectations and verify project specifics like frameworks or priorities.

How do I prompt for user input without using automated question tools?▼

You prompt for user input without automated tools by enforcing direct natural language interaction. The AI generates a structured, numbered plain-text list to solicit information, completely prohibiting the use of the question tool.

When do I need to ask clarifying questions in a task workflow?▼

You need to ask clarifying questions during requirement gathering, decision-making, and confirmation steps in a task workflow. This is crucial before proceeding with complex actions like refactoring a large code module to ensure correct execution.