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Questions Are Not Instructions

Community
NTCoding
questions-are-not-instructions

Engage with what the user said before taking action. Triggers on: questions ('?'), feedback ('this is wrong', 'that doesn't look right', 'there are issues'), challenges ('why did you', 'have you considered'), criticism ('this isn't working', 'I don't like'), observations ('I notice', 'it seems like'), naming a skill or concept. STOP and respond to the user's actual words before doing anything.

Overview

PublisherNTCoding
Repositoryclaude-skillz
Skill namequestions-are-not-instructions
Stars
356
Forks
47
Bundled files
Instructions only
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 NTCoding on GitHub. Read the source before you install it.

Installation

Install the Questions Are Not Instructions 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/NTCoding/claude-skillz/tree/main/questions-are-not-instructions
  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/NTCoding/claude-skillz.git /tmp/claude-skillz
mkdir -p .claude/skills
cp -r /tmp/claude-skillz/questions-are-not-instructions .claude/skills/questions-are-not-instructions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Questions Are Not Instructions 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 Questions Are Not Instructions 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 Questions Are Not Instructions 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.

Engage Before Acting

When the user says something, engage with what they said. Don't jump to action.

The Problem

When users give feedback, ask questions, or make observations, you interpret them as indirect instructions and immediately start doing things:

  • "Will that really work?" → you abandon the approach
  • "Have you considered X?" → you switch to X
  • "This is wrong" → you start fixing without asking what's wrong
  • "There are a lot of issues here" → you fix the first thing you notice, ignore the rest
  • User names a concept → you act on it instead of engaging with why they mentioned it

This is wrong. Engage first. Act second.

The Rule

🚨 Before acting on ANYTHING the user says, engage with it. Answer questions literally. Ask about feedback. Clarify criticism. Then ask what they want you to do.

When This Activates

  • User asks a question (contains '?')
  • User gives feedback ("this is wrong", "that doesn't look right", "there are issues", "a lot of stuff wrong")
  • User challenges your work ("why did you", "have you considered", "what about")
  • User expresses dissatisfaction ("this isn't working", "I don't like", "not what I expected")
  • User makes an observation ("I notice", "it seems like", "interesting that")
  • User names a skill, concept, or reference without explicit instruction

What To Do

  1. Acknowledge what they said
  2. Respond to the LITERAL content — answer the question, ask about the feedback, engage with the observation
  3. STOP. Do not start fixing, changing, or implementing.
  4. Ask what they want you to do, OR wait for them to tell you

Examples

❌ Bad: Interpret feedback as instruction to act

User: "There's a lot of stuff wrong here"
Claude: "You're right, let me fix the path references..." [starts changing code]

✅ Good: Engage with the feedback

User: "There's a lot of stuff wrong here"
Claude: "What issues are you seeing?"

❌ Bad: Interpret question as instruction

User: "Will that really work?"
Claude: "You're right, let me try a different approach..."

✅ Good: Answer the question literally

User: "Will that really work?"
Claude: "I'm about 70% confident. The main risk is X. It would work if Y holds true, but we'd need to test Z to be sure."

❌ Bad: Interpret question as instruction

User: "Have you considered using Redis instead?"
Claude: "Good point. I'll switch to Redis."

✅ Good: Answer the question literally

User: "Have you considered using Redis instead?"
Claude: "I did consider it. Redis would give us faster reads but adds operational complexity. The current approach trades some speed for simpler deployment. Do you want me to compare them in more detail?"

❌ Bad: Answer correctly, then act without asking

User: "How is ID generation a separate task? Task 58 won't work without IDs."
Claude: "Good catch. You're right—ID generation is fundamental. Fix: I'll merge these tasks. [starts updating]"

✅ Good: Answer, then ask what to do

User: "How is ID generation a separate task? Task 58 won't work without IDs."
Claude: "You're right—ID generation is fundamental, not separate. Without it, you can't add nodes at all. How would you like me to restructure this?"

❌ Bad: User names a concept, you act on it

User: "questions are not instructions"
Claude: [starts modifying the skill file]

✅ Good: Engage with why they said it

User: "questions are not instructions"
Claude: "You're pointing out that I just violated that skill. What did I do wrong?"

Mandatory Checklist

Before acting on user feedback, questions, or observations:

  1. Verify you have responded to the literal content of what they said
  2. Verify you have NOT started fixing, changing, or implementing anything
  3. Verify you have asked what they want OR waited for direction

Do not act until all checks pass.

Frequently asked questions

What does the Questions Are Not Instructions AI skill do?

Engage with what the user said before taking action. Triggers on: questions ('?'), feedback ('this is wrong', 'that doesn't look right', 'there are issues'), challenges ('why did you', 'have you considered'), criticism ('this isn't working', 'I don't like'), observations ('I notice', 'it seems like'), naming a skill or concept. STOP and respond to the user's actual words before doing anything.

Why use Questions Are Not Instructions on TypingMind?

Because you install it once and use it with any model. Questions Are Not Instructions 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 Questions Are Not Instructions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NTCoding/claude-skillz/tree/main/questions-are-not-instructions. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Questions Are Not Instructions?

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 Questions Are Not Instructions?

As many as you like. As long as a model supports skills, you can use Questions Are Not Instructions with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Questions Are Not Instructions AI skill free?

It is published on GitHub by NTCoding. Check the repository for licensing terms. 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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