Grilling

Community

FeatherHunter

grilling

就某个方案、决定或想法不留情面地盘问用户。当用户想对自己的思路做压力测试，或用了任何带 'grill' 的触发词时使用。

Overview

Publisher	FeatherHunter
Repository	`dsh-mattpocock-skills-deck`
Skill name	`grilling`
Stars	263
Forks	22
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by FeatherHunter on GitHub. Read the source before you install it.

Installation

Install the Grilling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/FeatherHunter/dsh-mattpocock-skills-deck/tree/main/package/bundled-skills-zh/grilling
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/FeatherHunter/dsh-mattpocock-skills-deck/tree/main/package/bundled-skills-zh/grilling

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/FeatherHunter/dsh-mattpocock-skills-deck.git /tmp/dsh-mattpocock-skills-deck
mkdir -p .claude/skills
cp -r /tmp/dsh-mattpocock-skills-deck/package/bundled-skills-zh/grilling .claude/skills/grilling

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grilling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Grilling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Grilling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

不停地访谈用户，直到双方达成共识。把整件事画成一棵设计树：每一个决定都会分叉出挂在它下面的一串决定。

按轮次推进这棵树。前沿是那些前置条件都已经定下来的决定：也就是你_现在_就能问、不必去猜还没听到的答案的那些问题。一轮里把整个前沿都问完：给每个问题编号，并给出你推荐的答案。然后等用户回答，再进入下一轮。

一轮的格式如下：


❓ **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>

用户每一轮的回答都会重塑这棵树：定下来的决定把前沿向外推，并解锁那些依赖它们的问题。重新算出前沿，问出下一轮。如果某个问题的答案取决于本轮仍未闭合的另一个问题，那它属于_更晚_的某一轮，而不是这一轮。

找_事实_是你的活，永远不是用户的活。当前沿上的问题需要从环境（文件系统、工具等）里拿到某个事实时，派一个子代理去找；凡是自己能查到的，就不要问用户。不要因此卡住：正在跑的探查就是一个还没定的前置条件，所以只有它下游的那些问题需要等子代理回报；前沿上其余的问题现在就问。_决定_是用户的：把每一个都摆到用户面前，然后等。

当前沿清空时，这次会话就结束了：设计树的每个分支都走过了，没有任何东西被默默地当成前提。在用户确认你们已经达成共识之前，不要照着它动手。

Frequently asked questions

What does the Grilling AI skill do?

就某个方案、决定或想法不留情面地盘问用户。当用户想对自己的思路做压力测试，或用了任何带 'grill' 的触发词时使用。

Why use Grilling on TypingMind?

Because you install it once and use it with any model. Grilling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Grilling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FeatherHunter/dsh-mattpocock-skills-deck/tree/main/package/bundled-skills-zh/grilling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Grilling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Grilling?

As many as you like. As long as a model supports skills, you can use Grilling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Grilling AI skill free?

Yes. It is published on GitHub by FeatherHunter under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frequently asked questions

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