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Grill Me

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plugin87
grill-me

Interrogate the brief before a line is built. Ask only the questions whose answers change the work, and put every unasked decision on the record as a stated assumption.

Overview

Publisherplugin87
Repositoryux-ui-agent-skills
Skill namegrill-me
Stars
3K
Forks
290
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by plugin87 on GitHub. Read the source before you install it.

Installation

Install the Grill Me 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.
    https://github.com/plugin87/ux-ui-agent-skills/tree/main/.claude/skills/grill-me
  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/plugin87/ux-ui-agent-skills.git /tmp/ux-ui-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ux-ui-agent-skills/.claude/skills/grill-me .claude/skills/grill-me
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grill Me 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 Grill Me 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 Grill Me 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.

Step 0: is the kit here? This skill reads files from the kit. Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point the user at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

The gates catch a screen built wrongly. Nothing in this repo catches a screen built correctly from the wrong brief, and that is where the expensive rework comes from: four eval runs scored 14/14 on the gates and still came back from /critique as rework, every finding a decision no gate can see.

This command spends five minutes up front to remove that class of failure.

Target: $ARGUMENTS (the thing about to be built; if that is not clear, that is itself the first question).

1. Read before you ask

Asking for something the repo already answers is noise, and it teaches the user that answering you is a waste of time. Before writing a single question:

  • Look for an existing brief, CLAUDE.md, BRIEF.md, or a reference/ folder.
  • Look for an existing theme: ${CLAUDE_SKILL_DIR}/../../../tokens/*.json, design-tokens.json, theme.css. If one exists, the theme question is answered. Do not ask it.
  • Look at the neighbouring screens and components. Framework, conventions, and the component inventory are usually visible, not unknown.

Every question you keep after this pass is one the code genuinely cannot answer.

2. The bank, grouped by what no gate can see

Pick from these. Do not ask all of them.

Purpose and lead

  • Who is this for, and what is the one task they came to finish?
  • What is the first thing their eye should land on? (Four equal cards means the answer is "nothing", and that is a composition bug before it is a design.)
  • What does success look like for them? What have they done when they leave?

Content reality

  • What does this look like with zero items? With one? With four hundred?
  • What is the longest string a real user will put in here: a 60-character project name, a nine-digit amount, an email with no spaces to break?
  • Which numbers are real and which are placeholder? Placeholder that ships as real is a lie the user catches immediately.

Irreversible actions

  • Which actions here destroy or cannot be undone, and what confirms them? (Destructive wears the danger variant in every place it appears: the trigger and the confirm dialog both. A blue Delete is an automatic fail.)
  • What happens when the action fails? What does the user read, and what can they do next?

Theme and platform

  • New theme or existing? If new: which direction, and does dark mode ship too?
  • What is the narrowest width this must survive? (The kit's floor is 280px.)
  • Which framework is the deliverable, and does it need RTL, AA or AAA?

Scope and done

  • How many screens or components exactly, and what is explicitly out of scope?
  • What has to be true before this is done: which gates, and is /critique part of the bar or not?

3. The rule on asking

  • Maximum seven questions, asked in one round. A drip of one question at a time is worse than a wrong assumption.
  • Every question must change the work. If both answers produce the same build, it is not a question, it is a default. Take it and say so.
  • Never ask what you can choose well. Taste is the job. Ask about intent, content, and constraint; decide the rest.

4. Everything unasked becomes a written assumption

An assumption held silently is indistinguishable from a guess. Each one gets a line: what was assumed, the default taken, and what it costs if it is wrong.

Assumption: no dark mode requested -> shipping both anyway (the theme is already
dual, so the cost of including it is zero and the cost of retrofitting is not).

5. Output: a brief that can be checked later

Write BRIEF.md next to the work, in this shape:

# <what is being built>

Goal            one sentence, from the user's side
User and task   who, and the task they came to finish
Deliverables    exact list; N screens means N screens
Lead            the one thing the eye lands on first
Content reality empty / one / many, longest string, real vs placeholder
Irreversible    which actions, what confirms them, what failure reads like
Theme           source of truth, dark mode, brand direction
Platform floor  narrowest width, framework, RTL, AA or AAA
Out of scope    what this is deliberately not
Assumptions     each with its default and its cost if wrong
Done when       the gates that must pass, and whether /critique is part of the bar

This file is the thing /critique and a later reviewer argue against. A brief that lives only in the conversation cannot be checked, and so it will not be.

6. Then build, then prove it

/grill-me -> build -> /gate -> /critique. This command removes ambiguity. It does not produce quality, it does not score anything, and it is not a substitute for rendering the work and looking at it.

Frequently asked questions

What does the Grill Me AI skill do?

Interrogate the brief before a line is built. Ask only the questions whose answers change the work, and put every unasked decision on the record as a stated assumption.

Why use Grill Me on TypingMind?

Because you install it once and use it with any model. Grill Me 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 Grill Me in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/plugin87/ux-ui-agent-skills/tree/main/.claude/skills/grill-me. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Grill Me?

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 Grill Me?

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

Is the Grill Me AI skill free?

Yes. It is published on GitHub by plugin87 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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