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Grilling Agent Skill

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

854 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
104
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/tt-a1i/matt-skills-with-to-goal --skill grilling

What comes with it

115 bytes besides the instruction
agents/openai.yaml

The instruction itself

3 sections, as written by the author

Interview the user relentlessly until you reach a shared understanding. Map this as a design tree: every decision branches into the decisions that hang off it.

Work the tree in rounds. The frontier is every decision whose prerequisites are already settled — the questions you can ask _now_ without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round.

Question format

Lead each round with a fixed header, then emit every frontier question in one shape. Use emoji as structure anchors and question-type signals — not decoration in every sentence.

Round header:

🔥 **Round N** · K questions

Each question (one type emoji before the number):

<type> **QN** - **<question title>**
<body — prose and/or multiple choices>

💡 <your recommended answer>

Round footer (after the last question):

👇 Reply by number: `1) …  2) …  3) …`

Type emoji (pick one that fits the decision)

| Type | Emoji | Use when |

|---|---|---|

| Scope / in-or-out | 🎯 | Boundary, YAGNI, what ships now |

| Trade-off | ⚖️ | A vs B, pick one path |

| Risk / failure | ⚠️ | What breaks, abuse cases, rollback |

| Naming / language | 🏷️ | Terms, glossary, how we say it |

| UX / UI | 👀 | What someone sees or clicks |

| Data / state | 🧩 | Model shape, transitions, schema |

| Cost / perf | ⚡ | Latency, money, scale |

| Auth / trust | 🔐 | Permissions, tenancy, secrets |

| Timing | ⏱️ | When, sequencing, milestones |

| Challenge | 🪞 | "Do you actually need this?" |

| Dependency | 🔗 | Blockers, prerequisites |

| Open / foggy | 💭 | Still ill-formed; need a direction |

Fixed skeleton (do not invent alternatives each round): 🔥 round · type emoji + QN · 💡 recommendation · 👇 reply prompt.

Keep the body text clean — at most one optional mood emoji in the round header line if it helps (e.g. a long session), never a spray of emoji inside the question body.

Round loop

Each round the user answers reshapes the tree — settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one.

Finding _facts_ is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it — don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report — ask the rest of the frontier now. The _decisions_ are the user's — put each to them and wait.

The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.

How to use it

Copy the folder

Take tt-a1i/grilling from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.