grill me

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Overview

The "grill me" skill is a productivity tool hosted within the mxyhi/ok-skills repository, which has earned 423 stars on GitHub. This utility is designed to facilitate deep-dive technical interviews between an AI agent and a user. It functions by systematically questioning the logic of a proposed plan or architectural design. The skill aims to reach a comprehensive shared understanding by identifying and resolving every branch of a project's decision tree. Compatible with agents like Claude, Cursor, and Codex, it provides a structured environment for stress-testing ideas. By relentlessly probing for edge cases and potential flaws, the skill helps users refine their concepts before implementation, ensuring that all design choices are thoroughly vetted and documented through the interaction.

Use Cases

Stress-testing architectural designs by identifying unresolved decision branches.
Conducting rigorous mock interviews to validate the logic of a project plan.
Reaching a shared understanding of complex systems through iterative AI questioning.

Install Notes

# Review source first
open https://github.com/mxyhi/ok-skills/blob/main/grill-me/SKILL.md

Copy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.

Security Notes

This skill operates as a conversational logic tool within the mxyhi/ok-skills repository. Users should be aware that the effectiveness of the stress-test depends on the information shared during the interview process. As with any AI-driven design review, sensitive project details or proprietary data should be handled according to the specific security protocols of the compatible agent being used, such as Claude or Cursor. No specific external permissions or system-level access requirements are documented for this skill beyond the standard agent interface.

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