Skill

Grilling

A relentless, one-question-at-a-time interview that stress-tests a plan or design before you start building it.


77
Spark score
out of 100
Updated last month
Source checked Aug 20, 2026
Version 15.16.0

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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-grilling | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Grilling

A relentless interview skill that stress-tests a plan or design one question at a time, offering a recommended answer for each open decision. Use when a plan or design needs its assumptions pressure-tested before implementation begins.

What it does

Grilling interviews the user relentlessly about every aspect of a plan or design until reaching a shared understanding. It walks down each branch of the design tree, resolving dependencies between decisions one by one, and for every question it asks, it also offers its own recommended answer rather than leaving the user to guess what a good answer looks like.

When to use - and when NOT to

Use it when the user wants to stress-test a plan before building it, or when the user invokes any "grill" trigger phrase. It is specifically for interrogating a design's assumptions and decisions before implementation starts, not for reviewing code that already exists.

Inputs and outputs

Questions are asked strictly one at a time, waiting for the user's answer before moving to the next - asking several questions at once is called out explicitly as "bewildering" and to be avoided. When a question could instead be answered by exploring the codebase directly, the skill explores the codebase rather than asking the user to explain something already discoverable in the code.

Integrations

It has no dependencies of its own beyond the codebase it may explore in place of asking a question; related skills (Grill Me, Grill With Docs) reuse this same interview mechanism as their underlying engine.

Who it's for

Anyone about to commit to a plan or design who wants its assumptions pressure-tested one decision at a time, with a recommended answer offered for each open question, before writing any code.

FAQ

Common questions

Discussion

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