grilling

mattpocock/skills · Agent Skill

無情地質疑使用者的想法、計劃或決定，以壓力測試他們的思維並達成更深入的理解。

總覽

發布者	mattpocock社群
儲存庫	mattpocock/skills ↗
技能資料夾	`grilling`
星	256,360
附帶檔案	1
授權	MIT
最近更新	2026年8月19日
連結	技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性

低風險 · 未發現明顯風險 — 完整報告會顯示細節

相容性

僅含說明 — 適用於多數代理

相似技能

找到 51 個相似技能

訂閱另含

安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理，在專案根目錄的終端機（macOS、Linux 或 Windows 的 Git Bash）執行指令。

把提示貼到 Claude、Codex 或其他助理：它會自行檢查並安裝技能。

Install the “grilling” skill from mozgi.io (https://mozgi.io/skills/grilling/) for me.

1. Download the archive: https://mozgi.io/skills/grilling/download
   If it fails, take the skill folder from the source: https://github.com/mattpocock/skills/tree/main/skills/productivity/grilling
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “grilling” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/grilling/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/productivity/grilling .claude/skills/grilling

重新啟動 Claude Code — 技能就會出現在清單中，手動呼叫：/grilling。要套用到所有專案，請放在 ~/.claude/skills。

git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills
mkdir -p .agents/skills
cp -r /tmp/skills/skills/productivity/grilling .agents/skills/grilling

Codex 會從目前資料夾往上到儲存庫根目錄，在 .agents/skills 中尋找技能；用 /skills 或 $grilling 呼叫。所有專案：~/.agents/skills。

git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills
mkdir -p .cursor/skills
cp -r /tmp/skills/skills/productivity/grilling .cursor/skills/grilling

Cursor 啟動時會載入技能；在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案：~/.cursor/skills。

git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills
mkdir -p .gemini/skills
cp -r /tmp/skills/skills/productivity/grilling .gemini/skills/grilling

任務符合時，Gemini CLI 會提議啟用技能，由你確認。所有專案：~/.gemini/skills。

技能檔案

1 個檔案下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

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.

Format a round like so:

❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

---

❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

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.

常見問題

grilling 技能有什麼用途？

無情地質疑使用者的想法、計劃或決定，以壓力測試他們的思維並達成更深入的理解。

如何安裝 grilling？

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI：那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示，讓助理自行檢查並安裝技能。

grilling 適用哪些 AI 模型？

技能是純 Markdown 指示（Agent Skills 格式），因此 grilling 適用任何讀取 SKILL.md 的代理：Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時，模型才會載入指示。

grilling 是免費的嗎？

此技能由 mattpocock 公開發布，採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎？

技能是代理會遵循的指示，安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作，不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同？

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程：如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

總覽

Mozgi 檢查

安裝

技能檔案

SKILL.md 內容

常見問題

相關技能