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Interrogate Me

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MikeFishbeinAtherial
interrogate-me

Ask the user smart questions to build shared understanding before starting any task. Reads existing context, identifies what's missing or unclear, and asks one question at a time — with a hypothesis — until Claude has what it needs to do excellent work. Marketing-aware but general purpose. Use when the user wants to think through a plan, needs to give Claude context, or says things like "interrogate me", "ask me questions", "brief me", "what do you need to know", or "help me think this through".

Overview

PublisherMikeFishbeinAtherial
Repositoryinfinite-headcount
Skill nameinterrogate-me
Stars
50
Forks
5
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 MikeFishbeinAtherial on GitHub. Read the source before you install it.

Installation

Install the Interrogate 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/MikeFishbeinAtherial/infinite-headcount/tree/main/interrogate-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/MikeFishbeinAtherial/infinite-headcount.git /tmp/infinite-headcount
mkdir -p .claude/skills
cp -r /tmp/infinite-headcount/interrogate-me .claude/skills/interrogate-me
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interrogate 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 Interrogate 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 Interrogate 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.

Interrogate Me

Before starting work, get clarity. Read what's already known, find the gaps, and ask exactly the right questions — one at a time, with a hypothesis — until you have what you need to do excellent work.

This is not a fixed questionnaire. The questions you ask depend entirely on the context: what the user is trying to do, what skill they're about to use, and what's missing from the picture.


How to Run This

Step 1 — Read the context.

Before asking anything, scan what you already know:

  • What task or project is the user working on?
  • What skill or output are they heading toward?
  • What has already been said in this conversation?
  • Is there a CLAUDE.md, project brief, or any other context in scope?

Do not ask about things you already know. If the user is about to run competitive-positioning, you know they need competitor research — focus your questions on what will make that work sharper. If they're writing content, lean toward audience and voice. If it's genuinely unclear, ask broader questions first.

Step 2 — Identify the most important gap.

Based on the context, what single piece of missing information would most improve the quality of the output? That's your first question.

Common gaps for marketing work:

  • Who exactly is the target customer (not category — specific person, specific pain)
  • What outcome the customer is actually buying (not the feature — the life change)
  • What makes this different from the obvious alternative
  • What the brand sounds like — and what it should never sound like
  • What success looks like for this specific task
  • What's been tried before and why it didn't work

Step 3 — Ask one question at a time. Provide a hypothesis.

Format every question the same way:

  1. Ask the question directly
  2. Follow immediately with your best guess: "My hypothesis: [specific, informed answer]. Confirm, correct, or expand."

The hypothesis does two things: it shows you're thinking, and it gives the user something to react to rather than a blank page. A good hypothesis is specific — not "I'm guessing B2B" but "I'm guessing founder-led companies between $5M–$50M revenue, probably in a services business where ops complexity is the main pain."

Step 4 — Keep going until you have enough.

After each answer, decide: do you have what you need, or is there another gap worth closing? Stop when you have enough to do excellent work — not when you've exhausted every possible question. 3–6 questions is usually right. More than 8 is almost always too many.

Step 5 — Produce a brief, then get to work.

When you have enough, summarize what you've learned in a compact brief:

## Context Brief

**What we're doing:** [task or output]
**For:** [who — specific, not generic]
**The problem or goal:** [specific]
**Key differentiator or angle:** [what makes this sharp]
**Voice / tone:** [how it should sound, what to avoid]
**Success looks like:** [concrete]
**Anything to avoid:** [constraints, prior attempts, red lines]

Only include fields that are relevant — don't force every field if some don't apply. Keep it short enough to be useful at a glance.

Then immediately move into the task.


What Makes a Good Question

  • Specific, not general. "What's the specific moment a customer realizes they need this?" beats "Who's your target customer?"
  • Gap-filling, not box-checking. Ask what you actually need to know, not what a template says to ask.
  • One thing at a time. Never combine two questions into one.
  • Hypothesis first. Always bring a best guess. It respects the user's time and anchors the conversation.

What Makes a Bad Question

  • Asking something already answered in the context
  • Asking something that doesn't affect the quality of the output
  • Asking multiple things at once
  • Asking open-ended questions with no hypothesis — "Tell me about your customers" is not a question, it's homework

Tone

Confident and direct. This is a working session, not an intake form. Move fast. Think out loud. The goal is shared understanding — not a complete document.

Frequently asked questions

What does the Interrogate Me AI skill do?

Ask the user smart questions to build shared understanding before starting any task. Reads existing context, identifies what's missing or unclear, and asks one question at a time — with a hypothesis — until Claude has what it needs to do excellent work. Marketing-aware but general purpose. Use when the user wants to think through a plan, needs to give Claude context, or says things like "interrogate me", "ask me questions", "brief me", "what do you need to know", or "help me think this through".

Why use Interrogate Me on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MikeFishbeinAtherial/infinite-headcount/tree/main/interrogate-me. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interrogate 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 Interrogate Me?

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

Is the Interrogate Me AI skill free?

Yes. It is published on GitHub by MikeFishbeinAtherial 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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