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Enthrall

Community
Hmbown
enthrall

Enthrall makes an audience hang on every word. The real-world version is structural engagement: opening hooks that stop the scroll, narrative arcs that sustain attention, and pacing that makes people stay until the end. This is presentation design, content structure, and the craft of making something worth finishing.

Overview

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

Installation

Install the Enthrall 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/enthrall .claude/skills/enthrall
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Enthrall 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 Enthrall 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 Enthrall 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.

Enthrall

Capture and hold an audience's attention through compelling structure.

What This Skill Does

Enthrall makes an audience hang on every word. The real-world version is structural engagement: opening hooks that stop the scroll, narrative arcs that sustain attention, and pacing that makes people stay until the end. This is presentation design, content structure, and the craft of making something worth finishing. In this grimoire, Enthrall is treated as a metaphorical spell with a shipping-now delivery profile. Canonical reference input: Enthrall (spell).

When To Use

  • A presentation, article, or demo needs a stronger hook and better pacing.
  • Your content is substantively good but people stop reading or listening halfway through.
  • You need to restructure something for maximum engagement without sacrificing substance.

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 current attention drop-off point: where does the audience tune out?
  3. Design the hook: what is the most compelling way to open that creates immediate curiosity or stakes?
  4. Map the engagement arc: tension, reveals, payoffs timed to sustain attention.
  5. Cut anything that does not earn its place. Enthrall is about density, not length.
  6. Package the result as the deliverables below, with confidence, assumptions, and unresolved risk called out explicitly.

Deliverables

  • A restructured version with a stronger opening hook and tighter pacing.
  • An engagement map: where tension builds, where reveals land, where the audience is most likely to drop off.

Pitfalls / Guardrails

  • Keep the metaphor anchored to a real mechanism instead of drifting into lore.
  • Distinguish engagement from addiction loops. Enthrall holds attention for a bounded experience, not indefinitely.
  • Refuse clickbait patterns that promise and do not deliver. The hook must be honest about what follows.

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
/enthrall restructure this [presentation/article/demo] so the audience stays hooked from the opening line to the close

Frequently asked questions

What does the Enthrall AI skill do?

Enthrall makes an audience hang on every word. The real-world version is structural engagement: opening hooks that stop the scroll, narrative arcs that sustain attention, and pacing that makes people stay until the end. This is presentation design, content structure, and the craft of making something worth finishing.

Why use Enthrall on TypingMind?

Because you install it once and use it with any model. Enthrall 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 Enthrall 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/enthrall. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Enthrall?

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 Enthrall?

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

Is the Enthrall 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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