Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tt-a1i-grilling
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About
Use cases: testing, productivity
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/grilling
What's inside
- Skill name
grilling- Description
- 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.
- License
- MIT
- Instructions
- 68 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
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 ``` **Questions** (one type emoji before each number, separated by a horizontal rule): ``` <type> **Q1** - **<question title>** <body — prose and/or multiple choices> 💡 <your recommended answer> --- <type> **Q2** - **<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. Word each question so "yes" accepts your recommended answer. ## 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.
From tt-a1i/matt-skills-with-to-goal, MIT.
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Signals
- Stars
- 187
- Forks
- 21
- Open issues
- 7
- Last commit (this folder)
- Oct 10, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/tt-a1i-grilling (last updated 2026-10-24)