grilling

Interrogate user plans and decision trees for logical consistency.

Updated May 15, 2026
One-click install
npx skills add https://github.com/j-show/ai-everything --skill grilling-j-show
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grilling
Source: https://github.com/j-show/ai-everything/tree/main/skills/grilling
Command: npx skills add https://github.com/j-show/ai-everything --skill grilling-j-show

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the common pitfall of incomplete planning and unexamined assumptions by forcing a rigorous, step-by-step interrogation of your ideas.

Core Features & Use Cases

  • Decision Tree Analysis: Systematically explores every branch of your plan to identify hidden dependencies and potential failure points.
  • Fact-Based Verification: Automatically probes the environment for existing data before asking you to make a decision.
  • Use Case: Use this when you have a complex project proposal and need to ensure you have considered every edge case, dependency, and potential bottleneck before committing to execution.

Quick Start

Activate the grilling skill and ask it to stress-test the current project plan for potential architectural flaws.

Frequently Asked Questions about grilling

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

FAQPage Schema
How do I stress-test a project plan for hidden dependencies and failure points?

To stress-test a project plan, this Skill systematically interrogates your decision trees to identify hidden dependencies and failure points. It validates your assumptions through iterative, single-question feedback loops grounded in your local project files.

What is decision tree analysis and how does it ensure logical consistency in planning?

Decision tree analysis systematically explores every branch of your plan to ensure logical consistency and comprehensive coverage. It operates by identifying dependencies and validating assumptions through iterative inquiry to expose unexamined flaws.

How do I validate project assumptions before committing to execution?

You validate project assumptions by probing the environment for existing data before making decisions. This Skill performs fact-based verification through iterative, single-question feedback loops to ensure your plans are grounded in existing facts.

Do I need local project files to use this critical-thinking analysis?

Yes, you need local project files for this critical-thinking analysis. The Skill requires access to analyze your local environment, grounding its interrogation of dependencies and assumptions in existing data rather than abstract concepts.

When should I use systematic interrogation for complex project proposals?

Use systematic interrogation for complex project proposals when you need to ensure you have considered every edge case, dependency, and potential bottleneck. It is designed for rigorous planning before you commit to execution.

What is the best way to identify edge cases and bottlenecks in a decision tree?

The best way to identify edge cases and bottlenecks is through a step-by-step interrogation of your decision tree. This Skill forces rigorous inquiry by exploring every branch to find potential architectural flaws and hidden failures.