mini-grill

Clarify ambiguous user instructions with up to three targeted questions.

2|Updated Jul 13, 2026
One-click install
npx skills add https://github.com/chichex/skills --skill mini-grill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mini-grill
Source: https://github.com/chichex/skills/tree/main/claude/mini-grill
Command: npx skills add https://github.com/chichex/skills --skill mini-grill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves ambiguity in user requests by facilitating a concise, structured dialogue, preventing wasted effort on misaligned tasks.

Core Features & Use Cases

  • Ambiguity Resolution: Identifies and clarifies critical uncertainties in a prompt before execution begins.
  • Efficiency-Focused: Limits the interaction to a maximum of three questions to maintain momentum.
  • Use Case: When a user provides a vague instruction like "fix the dashboard," this skill prompts for specific scope details or technical constraints to ensure the output matches the user's intent.

Quick Start

Invoke the mini-grill skill to clarify the requirements of the current task before proceeding with implementation.

Frequently Asked Questions about mini-grill

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

FAQPage Schema
How do I clarify ambiguous requests before starting a workflow?

To clarify ambiguous requests before workflow execution, use a structured questioning process that identifies critical uncertainties in scope, intent, and expected outcomes. This limits dialogue to a maximum of three targeted questions to prevent wasted effort on misaligned tasks.

What is prompt clarification and when do I need it for communication alignment?

Prompt clarification is a pre-execution process that resolves vague instructions through targeted inquiries. You need it for communication alignment when user inputs lack specific scope details or technical constraints, ensuring the final output matches the user's actual intent.

How do I resolve scope ambiguity without disrupting task momentum?

You resolve scope ambiguity without disrupting momentum by synthesizing user input into a maximum of three non-exhaustive inquiries. This low-friction process prioritizes critical decision points and constraints, preventing stalling while ensuring alignment before execution begins.

Can I use structured questioning to fix vague instructions like fix the dashboard?

Yes, you can use structured questioning to fix vague instructions like fix the dashboard. The skill identifies missing details and prompts for specific scope parameters or technical constraints, translating ambiguous user input into aligned, actionable requirements.

What are the limitations of using automated clarification for prompt engineering?

The main limitation of this clarification approach is that it restricts dialogue to a maximum of three questions to maintain efficiency. It prioritizes critical decision points over exhaustive inquiry, meaning highly complex prompt engineering may still retain minor unresolved ambiguities.