grill

Quiz engineers on AI-generated code with adaptive debugging questions.

Updated Jan 19, 2026
One-click install
npx skills add https://github.com/KanuToCL/SonoTag --skill grill-kanutocl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grill
Source: https://github.com/KanuToCL/SonoTag/tree/main/.claude/skills/grill
Command: npx skills add https://github.com/KanuToCL/SonoTag --skill grill-kanutocl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the learning deficit and skill erosion that can occur when engineers rely too heavily on AI for coding tasks, by actively quizzing them on AI-generated code to ensure deep understanding and retention.

Core Features & Use Cases

  • Code Review Simulation: Acts as a Socratic tutor to challenge engineers on their code.
  • Adaptive Difficulty: Adjusts question complexity based on user performance, from foundational to advanced debugging.
  • Debugging Focus: Prioritizes questions that test failure scenarios and debugging skills.
  • Use Case: After AI generates a new Python module, invoke this skill with "grill me on these changes" to ensure you fully grasp its implementation, potential pitfalls, and design choices before committing.

Quick Start

Use the grill skill to quiz me on the code in the file '/tmp/grill_eval/basic_sort.py'.

Frequently Asked Questions about grill

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

FAQPage Schema
How do I test my understanding of AI-generated code to prevent skill erosion?

To prevent skill erosion, you can use an AI tutor to quiz you on AI-generated code. It challenges you with debugging and conceptual questions to ensure you fully grasp the implementation, potential pitfalls, and design choices.

Can I use a Socratic method to review specific files and diffs in my codebase?

Yes, you can invoke a Socratic tutor to review specific files or diffs in your codebase. It identifies code through diffs or specified files and asks adaptive questions to test your comprehension of the changes.

How does adaptive difficulty work for code review simulations?

Adaptive difficulty adjusts question complexity based on your responses during the code review simulation. It scales from foundational concepts to advanced debugging scenarios, ensuring the challenge matches your performance.

What is the best way to verify I understand a new Python module before committing?

The best way to verify understanding before committing is to use an AI-driven challenge tool. Quizzing yourself on the generated code ensures you comprehend its implementation and can handle potential failure scenarios.

Does this Socratic code review method focus on specific types of programming challenges?

Yes, this Socratic code review method prioritizes debugging and conceptual challenges. It specifically tests failure scenarios and your ability to debug issues, ensuring deep retention of the code's mechanics.

Do I need to provide specific file paths to start a code review quiz?

Yes, you need to provide specific file paths or diffs to start the code review quiz. The tool uses these inputs to identify the code and generate targeted questions about its implementation and design choices.