Install
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npx agentmarket install skill/gfigting-grilling
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About
Use cases: testing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Install scripts
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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
- 33 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
> **框架本地化技能**:以上游 `skills/skills/productivity/grilling` 为基础,由 cg-work 维护本地调整;不逐字节同步上游,也不登记为原始镜像。上游变更需评估后再合并。 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. ## Visible preflight Before starting the first grilling round, show the user a decision preflight brief. It must state the risk (`low`, `medium`, `high`, and `irreversible` when applicable), the assumptions already made, the recommended path, meaningful alternatives, and whether their confirmation is required. This is the Agent's recommendation, not a user decision. Do not silently invoke grilling for a high-risk decision. If the preflight is `high` or `irreversible`, stop after the brief and wait for explicit confirmation to begin the interview. A `low` or reversible `medium` preflight may proceed after the brief when grilling was already requested or the workflow explicitly selected 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.
From GFigting/carry-god, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (24 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/GFigting/carry-god
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillAFreshness: AClaude Code +9 - 0.539score
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Cite this page
grilling skill. Agent Mart. https://agentmart.dev/skills/gfigting-grilling (last updated 2026-10-24)