Grill Me

Interview users one question at a time to uncover hidden assumptions and resolve dependencies.

13|8|Updated May 8, 2026
One-click install
npx skills add https://github.com/ishandutta2007/Awesome-Claude-Skills --skill grill-me-ishandutta2007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Grill Me
Source: https://github.com/ishandutta2007/Awesome-Claude-Skills/tree/main/skills/grill-me
Command: npx skills add https://github.com/ishandutta2007/Awesome-Claude-Skills --skill grill-me-ishandutta2007

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents weak or ambiguous plans from moving forward by forcing the user to confront hidden assumptions and unresolved dependencies.

Core Features & Use Cases

  • Relentless single-question interviewing: Keeps the conversation focused by asking one critical question at a time and rejecting vague answers.
  • Branch-by-branch decision probing: Follows the decision tree to close off major uncertainties based on the user’s responses.
  • Actionable recommendations: Provides a concrete recommended answer for every question, including code-first guidance when applicable.

Quick Start

Say: “Grill me on this design: [paste your plan/design]” and answer the first question you’re asked.

Frequently Asked Questions about Grill Me

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

FAQPage Schema
How do I stress-test a system design to uncover hidden assumptions?

To stress-test a system design, you undergo a relentless single-question interview that probes decision branches and exposes unresolved dependencies. This process forces you to confront ambiguities directly, rejecting vague answers to clarify your architecture.

What is the best way to vet API designs before starting implementation?

Vetting API designs involves branch-by-branch decision probing to close off major uncertainties. By answering targeted questions one at a time and receiving concrete, code-first recommendations, you resolve dependencies and reduce implementation risk.

How do I refine a project proposal with unresolved decision tree branches?

Refining a proposal requires probing each decision tree branch individually to identify risks. The process enforces a one-question-at-a-time methodology, ensuring every architectural choice is clarified with a specific, actionable best-practice recommendation.

Can I use an iterative interviewing process to reduce architecture risk?

Yes, iterative interviewing reduces architecture risk by preventing weak plans from moving forward. It systematically probes your design responses, rejecting ambiguity and providing concrete recommended answers to close off major uncertainties.

What are the limitations of using automated questioning for design reviews?

The limitation of this design review approach is its strict single-question constraint, which rejects vague answers and requires full engagement. It focuses solely on interrogating existing plans rather than generating initial architecture drafts.