grill-me

Interviews the user in structured rounds to stress-test plans and decisions.

3|Updated Feb 15, 2025
One-click install
npx skills add https://github.com/mark-torres10/ai_tools --skill grill-me-mark-torres10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grill-me
Source: https://github.com/mark-torres10/ai_tools/tree/main/skills/grill-me
Command: npx skills add https://github.com/mark-torres10/ai_tools --skill grill-me-mark-torres10

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Plans and decisions often contain hidden assumptions and unresolved dependencies. This Skill stress-tests an idea by relentlessly interviewing the user until every decision branch is explored 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 settled, numbering each question and providing a recommended answer. - Fact-Finding via Sub-Agents: Dispatches sub-agents to look up environmental facts instead of asking the user for information that can be retrieved directly. - Use Case: Before writing a technical design doc, have the AI grill you on architecture choices, constraints, and trade-offs so gaps surface before implementation begins. ## Quick Start Ask the AI to grill you on your plan for migrating the database to a new schema.

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 plan or idea with AI?

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

What is a design tree in decision interviews?

A design tree models a plan as decisions that branch into dependent sub-decisions. The frontier is the set of questions whose prerequisites are already settled, so only those are asked in the current round.

Does the grilling skill ask questions it could answer itself?

No. When a question needs a fact from the environment, such as filesystem or tool data, the skill dispatches a sub-agent to find it rather than asking the user. Only genuine decisions are put to the user.

When does a grilling session end?

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 waits for user confirmation of shared understanding before acting.

When should I not use a decision-grilling interview?

Avoid it for trivial or fully specified tasks where no open decisions exist, since the multi-round interview adds overhead. It is best suited to ambiguous plans with branching dependencies and hidden assumptions.