interaction-guidelines

Standardize user-agent dialogue with structured questions, progressive disclosure, and feedback prompts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/RevTechStudio/rts-plugins --skill interaction-guidelines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interaction-guidelines
Source: https://github.com/RevTechStudio/rts-plugins/tree/main/rts-foundation/skills/interaction-guidelines
Command: npx skills add https://github.com/RevTechStudio/rts-plugins --skill interaction-guidelines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides comprehensive guidelines for AI agents to interact effectively with users, minimizing user burden while extracting clear requirements and delivering high-quality outputs. It ensures productive communication, reduces misunderstandings, and fosters efficient collaboration.

Core Features & Use Cases

  • Question & Instruction Distinction: Teaches the AI to differentiate between user questions (requiring analysis and judgment) and instructions (requiring execution).
  • Critical Thinking & Expert Judgment: Emphasizes evaluating user suggestions from a professional standpoint, offering optimal solutions rather than blind compliance.
  • Standardized Question Format: Prescribes a clear format for asking questions, including multiple choices and a recommended option with justification, to simplify user responses.
  • Use Case: When a user asks "Should this function be a class method?", this skill guides the AI to analyze the technical context, provide a reasoned answer, and ask for confirmation, rather than simply agreeing without evaluation.

Quick Start

Explain the interaction guidelines for asking clarifying questions, including the standard format with multiple choices and a recommended option.

Frequently Asked Questions about interaction-guidelines

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

FAQPage Schema
How do I structure clarifying questions to get better responses from AI?

Clarifying questions work best with a standardized format: present multiple choice options (A/B/C/D), include a recommended option with reasoning, and ask for confirmation. This reduces ambiguity, speeds user response time, and produces higher-quality outputs by guiding AI analysis toward your specific context.

What's the difference between asking AI a question versus giving it an instruction?

Questions require the AI to analyze context and apply judgment to deliver an optimal answer; instructions require execution of a stated task. Distinguishing between them prevents blind compliance, ensures the AI evaluates your suggestions critically, and surfaces better solutions when professional reasoning is needed.

How can I reduce misunderstandings in AI-user conversations?

Progressive disclosure—revealing requirements incrementally rather than all at once—minimizes cognitive burden and clarifies needs systematically. Pair this with structured feedback collection prompts that explicitly surface assumptions, ambiguities, and gaps early in the dialogue to prevent costly rework.

When should I use critical thinking instead of accepting AI suggestions?

Evaluate AI recommendations from your professional standpoint whenever context, constraints, or domain expertise suggest a better path. The interaction guidelines emphasize expert judgment: AI should propose optimal solutions with reasoning, not simply comply with user requests, enabling you to make informed decisions.

How do effective AI interaction guidelines improve project outcomes?

Standardized dialogue patterns—question formats, feedback mechanisms, and ambiguity resolution—extract clear requirements upfront, reduce back-and-forth cycles, and foster efficient collaboration. This workflow applies across domains: requirement elicitation, design decisions, code review, and any task requiring alignment.