grilling

Question project plans and design architectures one at a time.

9|Updated Dec 1, 2025
One-click install
npx skills add https://github.com/JohannesKonings/tanstack-aws --skill grilling-johanneskonings
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grilling
Source: https://github.com/JohannesKonings/tanstack-aws/tree/main/.agents/skills/grilling
Command: npx skills add https://github.com/JohannesKonings/tanstack-aws --skill grilling-johanneskonings

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the common pitfall of building on unverified assumptions by forcing a rigorous, step-by-step examination of project plans and design decisions.

Core Features & Use Cases

  • Design Tree Analysis: Systematically explores every branch of a plan to identify hidden dependencies and logical gaps.
  • Shared Understanding: Ensures the user and the AI are perfectly aligned before any implementation begins.
  • Use Case: Before starting a complex AWS infrastructure migration, use this Skill to have the AI challenge your architectural choices, ensuring you have considered edge cases and failure modes.

Quick Start

Initiate the grilling skill by providing your project plan and asking the AI to begin the interview process.

Frequently Asked Questions about grilling

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

FAQPage Schema
How do I validate project plan assumptions before implementation?

To stress-test project plans, provide your architecture or design document to the AI to initiate an iterative inquiry process. The system maintains stateful context of your design tree while enforcing a strict one-at-a-time questioning protocol to uncover logical gaps.

What is design tree analysis for software architecture?

Design tree analysis is a systematic evaluation method that explores every branch of a plan to identify hidden dependencies. It applies critical inquiry to software engineering and product design phases where validation of decision-making is required.

Can I use this to stress-test an AWS infrastructure migration plan?

Yes, you can stress-test AWS infrastructure migration plans by submitting them to the AI for critical evaluation. The AI challenges your architectural choices to verify you have considered edge cases and failure modes.

How do I ensure shared understanding of design decisions with AI?

You ensure shared understanding by enforcing a non-concurrent inquiry protocol where the AI asks questions one at a time. This rigorous examination aligns the user and AI on project plans before implementation starts.

What are the limitations of using iterative questioning for plan validation?

A limitation of iterative questioning is the strict non-concurrent protocol, requiring questions to be answered one at a time. This ensures stateful context but may slow down the initial validation of complex design architectures.