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Grilling

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vinvcn
grilling

围绕计划、decision 或 idea 持续追问用户。适用于用户想对自己的思路做压力测试,或使用任何 “grill” 触发措辞时。

Overview

Publishervinvcn
Repositorymattpocock-skills-zh-CN
Skill namegrilling
Stars
4.3K
Forks
347
Bundled files
1
LicenseMIT
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vinvcn 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.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/vinvcn/mattpocock-skills-zh-CN.git /tmp/mattpocock-skills-zh-CN
mkdir -p .claude/skills
cp -r /tmp/mattpocock-skills-zh-CN/skills/productivity/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.

持续访谈用户,直到达成共同理解。把这件事映射成一棵 design tree:每个 decision 都分支到挂在它下面的那些 decisions。

rounds 逐轮处理这棵树。frontier 是那些 prerequisites 已经敲定的 decisions——也就是你现在就可以问、无需猜测还没听到的答案的那些问题。在一轮里问完整条 frontier:给每个问题编号并附上你的推荐答案。然后等用户回答,再进入下一轮。

每个问题的格式如下:

❓ **Q1** - **<问题标题>**:<问题正文,可能有多段,包括多个选项>

➡️ <你的推荐答案>

每一轮用户给出的回答都会重塑这棵树——敲定的 decisions 会把 frontier 向外推,并解锁依赖它们的问题。重新计算 frontier,然后问下一轮。其答案依赖本轮中另一个仍未解决的问题,属于 更晚的 一轮,而不是本轮。

寻找 facts 是你的工作,绝不是用户的。当一个 frontier 问题需要来自 environment(filesystem、tools 等)的 fact 时,派一个 sub-agent 去查——不要问用户任何你自己能查到的东西。不要被它阻塞:一次正在进行的探索是一个尚未敲定的 prerequisite,所以只有它下游的问题才需要等 sub-agent 回报——现在先问 frontier 的其余部分。decisions 属于用户——逐个交给他,并等待。

当 frontier 为空时,会话才算结束:design tree 的每个分支都访问过,没有留下任何被默默假设的东西。在用户确认我们已经达成共同理解之前,不要采取行动。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Grilling AI skill do?

围绕计划、decision 或 idea 持续追问用户。适用于用户想对自己的思路做压力测试,或使用任何 “grill” 触发措辞时。

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/vinvcn/mattpocock-skills-zh-CN/tree/main/skills/productivity/grilling. TypingMind reads its SKILL.md and bundles its files 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 vinvcn 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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