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Hypnotic Pattern

Community
Hmbown
hypnotic-pattern

Hypnotic Pattern mesmerizes everyone who looks at it. The real-world version is attention design: loading animations, progress indicators, onboarding flows, and visual patterns that keep users oriented and engaged during a bounded experience. The line between helpful focus and addictive capture is the central design tension.

Overview

PublisherHmbown
RepositoryWizards-of-the-Ghosts
Skill namehypnotic-pattern
Stars
106
Forks
10
Bundled files
Instructions only
LicenseCC0-1.0
Links
Skill sourceRepository
  • 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 Hmbown on GitHub. Read the source before you install it.

Installation

Install the Hypnotic Pattern 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/Hmbown/Wizards-of-the-Ghosts.git /tmp/Wizards-of-the-Ghosts
mkdir -p .claude/skills
cp -r /tmp/Wizards-of-the-Ghosts/generated/hermes/influence-and-behavior/hypnotic-pattern .claude/skills/hypnotic-pattern
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hypnotic Pattern 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 Hypnotic Pattern 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 Hypnotic Pattern 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.

Hypnotic Pattern

Design attention-capture patterns that hold focus in a bounded context.

What This Skill Does

Hypnotic Pattern mesmerizes everyone who looks at it. The real-world version is attention design: loading animations, progress indicators, onboarding flows, and visual patterns that keep users oriented and engaged during a bounded experience. The line between helpful focus and addictive capture is the central design tension. In this grimoire, Hypnotic Pattern is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Hypnotic Pattern (spell).

When To Use

  • A flow, onboarding sequence, or presentation needs better attention-holding mechanics.
  • Users are dropping off during a multi-step process and you need to understand why and how to keep them.

Prerequisites

  • No extra runtime dependencies beyond Hermes Agent and the normal toolset for this session.

Procedure

  1. Restate the target, the success condition, and any no-touch boundaries before taking action.
  2. Identify the experience and its attention drop-off points.
  3. Design engagement patterns: progress indicators, micro-rewards, curiosity gaps, or visual anchors.
  4. Map the boundary: when should the pattern release attention? Hypnotic Pattern has a duration, not an infinity.
  5. Deliver the attention design with an explicit note on where engagement becomes compulsion.
  6. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • Attention-capture patterns tailored to the specific flow or experience.
  • A boundary specification: when the pattern should deliberately release the user's attention.

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Distinguish attention-capture from addiction mechanics. This spell has a duration — it is not designed to hold attention indefinitely.
  • Refuse infinite scroll, autoplay-without-end, or engagement patterns designed to prevent the user from leaving.

Verification

  • Check that the result includes every deliverable promised above.
  • Check that confirmed facts, assumptions, and inferences are visibly separated.
  • Check that the metaphor still maps cleanly to a real operational mechanism.

Example Invocation

text
/hypnotic-pattern design attention-holding mechanics for this [flow/onboarding/presentation], with clear boundaries on when to let go

Frequently asked questions

What does the Hypnotic Pattern AI skill do?

Hypnotic Pattern mesmerizes everyone who looks at it. The real-world version is attention design: loading animations, progress indicators, onboarding flows, and visual patterns that keep users oriented and engaged during a bounded experience. The line between helpful focus and addictive capture is the central design tension.

Why use Hypnotic Pattern on TypingMind?

Because you install it once and use it with any model. Hypnotic Pattern 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 Hypnotic Pattern in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hmbown/Wizards-of-the-Ghosts/tree/main/generated/hermes/influence-and-behavior/hypnotic-pattern. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hypnotic Pattern?

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 Hypnotic Pattern?

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

Is the Hypnotic Pattern AI skill free?

Yes. It is published on GitHub by Hmbown under the CC0-1.0 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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