grilling

Interviews users in structured question rounds to stress-test plans and decisions.

2|Updated May 12, 2026
One-click install
npx skills add https://github.com/tajo9128/BioDockify-Pharma-AI --skill grilling-tajo9128
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grilling
Source: https://github.com/tajo9128/BioDockify-Pharma-AI/tree/main/.agents/skills/grilling
Command: npx skills add https://github.com/tajo9128/BioDockify-Pharma-AI --skill grilling-tajo9128

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Plans and decisions often contain hidden assumptions and unexplored branches that only surface after execution fails. This Skill systematically interrogates a plan, decision, or idea through structured rounds of questions until every decision branch is explicitly settled and a shared understanding is reached. ## Core Features & Use Cases - Design Tree Mapping: Models the topic as a tree of decisions where each choice branches into dependent sub-decisions. - Frontier-Based Rounds: Asks only the questions whose prerequisites are already settled, numbering each question and providing a recommended answer for the user to accept or override. - Fact-Finding via Sub-Agents: Dispatches sub-agents to look up environmental facts (filesystem, tools) instead of asking the user for information that can be retrieved directly. - Use Case: Before starting a software migration, have the AI grill you on scope, rollback strategy, data handling, and team ownership so every assumption is surfaced and decided before work begins. ## Quick Start Ask the AI to grill you about your plan for an upcoming project or decision until you reach a shared understanding.

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 plan or idea with an AI assistant?

Ask the AI to grill you about your plan. It maps your decisions as a tree, then interviews you in rounds of numbered questions with recommended answers until every branch is settled and no assumptions remain.

How does the round-based questioning format work?

Each round asks only the frontier questions whose prerequisite decisions are already settled. Questions are numbered with a recommended answer, and your responses reshape the tree, unlocking the next round of dependent questions.

Can the AI look up facts instead of asking me during the interview?

Yes. When a question needs a fact from the environment such as filesystem or tool state, the skill dispatches a sub-agent to find it rather than asking you. Only decisions belong to the user; fact-finding is delegated.

When is the grilling session considered complete?

The session ends when the frontier is empty, meaning every branch of the design tree has been visited and nothing is silently assumed. The AI will not act on the plan until you confirm shared understanding.

When should I not use round-based grilling for a decision?

Avoid it for trivial or time-critical decisions where exhaustive exploration adds no value. The method is designed for consequential plans with interdependent choices, not quick yes-or-no questions.