communication_protocol

Clarify ambiguous requests by asking one focused question at a time.

11|Updated Nov 11, 2025
One-click install
npx skills add https://github.com/zig-whatwg/crane --skill communication-protocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: communication_protocol
Source: https://github.com/zig-whatwg/crane/tree/main/skills/communication_protocol
Command: npx skills add https://github.com/zig-whatwg/crane --skill communication-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that ambiguous requests are clarified before any task execution, reducing miscommunication and rework.

Core Features & Use Cases

  • ONE-question-at-a-time: Enforces asking a single focused question per message.
  • Clarification Protocol: Provides structured patterns to restate understanding and confirm requirements.
  • Safe, guided conversations: Prevents assumptions by demanding explicit confirmation before acting.

Quick Start

Begin by asking a single clarifying question whenever a request is ambiguous, then wait for the answer before proceeding.

Frequently Asked Questions about communication_protocol

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

FAQPage Schema
How do I make an AI ask clarifying questions before starting a task?

To make an AI ask clarifying questions before starting a task, use a conversation protocol that enforces a one-question-at-a-time rule. This prevents assumptions by requiring explicit confirmation and disambiguation before any action is taken.

What is the best way to handle ambiguous AI conversation requests?

The best way to handle ambiguous AI conversation requests is by applying a structured clarification protocol. It restates understanding and prompts the user with a single focused question per message to resolve multiple interpretations safely.

Can I enforce a one-question-at-a-time rule for AI disambiguation?

Yes, you can enforce a one-question-at-a-time rule for AI disambiguation. This protocol ensures the AI asks a single focused clarifying question whenever requirements are unclear, then waits for an answer before proceeding with the task.

Does this conversation protocol work across all types of AI interactions?

This conversation protocol works across all AI interactions and tasks where requirements are unclear or multiple interpretations exist. It provides structured patterns to restate understanding and confirm requirements universally.

Why should I use a single question protocol instead of asking multiple clarifying questions at once?

You should use a single question protocol to ensure safe, guided conversations. Asking multiple clarifying questions at once can overwhelm users, whereas a one-question-at-a-time approach prevents assumptions and reduces miscommunication and rework.