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Yt Hook Scripter

Community
sergebulaev
yt-hook-scripter

Script the spoken opening that decides retention: the first 30 seconds of a long-form YouTube video or the first 3 seconds of a YouTube Short. Uses 2026 patterns (restate-and-raise, cold-open payoff tease, question-and-contract, and the 3-second frame-one Shorts hook with a designed loop) to confirm the title's promise, open a loop, and earn the next 30 seconds with no intro. Use to write or fix a video opening. Not for the title (use yt-title-optimizer) or description (use yt-description-writer).

Overview

Publishersergebulaev
Repositoryyoutube-skills
Skill nameyt-hook-scripter
Stars
85
Forks
21
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Yt Hook Scripter 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/sergebulaev/youtube-skills/tree/main/skills/yt-hook-scripter
  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/sergebulaev/youtube-skills.git /tmp/youtube-skills
mkdir -p .claude/skills
cp -r /tmp/youtube-skills/skills/yt-hook-scripter .claude/skills/yt-hook-scripter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yt Hook Scripter 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 Yt Hook Scripter 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 Yt Hook Scripter 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.

YouTube Hook Scripter

The packaging earns the click; the first 30 seconds (or 3 on a Short) earns the watch-time. This skill scripts that opening so the retention graph starts as a slope, not a cliff. It writes the words you say on camera, not the metadata.

When to use

  • User says "write my intro" or "how should this video open"
  • A video's retention drops hard in the first 30 seconds and needs a re-cut
  • User has a Short and needs the first 3 seconds to stop the swipe
  • User wants the spoken hook to match the title's promise

Formulas this skill uses (opening-hook shapes)

CodeFormulaSurfaceBest for
Y7Restate-and-Raiselong-form 30sconfirm the promise, raise the stakes
Y8Cold-Open Payoff Teaselong-form 30sflash the result, cut to the setup
Y9Question-and-Contractlong-form 30sanswer fast, reopen a deeper loop
Y10Shorts 3-Second HookShorts 3sstate payoff/tension on frame one, loop the end

Full skeletons in ../../references/hook-formulas.md.

Steps

Voice profile first (all drafts). If ../../references/voice-profile.md has filled: yes, load it and match the user's voice fingerprint, hard rules, and CTA/link style throughout. If it is not filled, mention once that yt-community-post-writer --mode profile can learn their voice from a few posts, then proceed with the generic voice rules.

Never invent the specifics. The rules below ask for a concrete number, a date and a named entity, because that is what separates a real post from a generated one. Take them from what the user actually said in this conversation. Do not invent a figure, a date, a client name or a result, and do not soften a vague claim into a plausible-looking number. If the user has nothing concrete for a beat, ask them once, and if they still have nothing, drop the claim rather than decorate it. A published invented number is a retraction; a missing one is only a weaker post.

  1. Gather inputs. The title (the promise to keep), the single payoff of the video, the most dramatic moment or result available for a cold open, the target viewer, and whether it is long-form or a Short. If a URL is given, parse it with lib/url_parser.py; is_short decides the surface.
  2. Pick the surface.
    • Long-form: write the first 30 seconds, beat by beat, with rough timestamps.
    • Short: write the first 3 seconds (frame one), then the line that makes the ending loop back to the start.
  3. Pick the formula. Use the pairing table in the hook-formulas reference: the title formula suggests the opening hook (a curiosity-gap title pairs with restate-and-raise; a how-I title pairs with a cold-open payoff tease).
  4. Write the script. Spoken voice, one person to one person. For long-form:
    • Line 1 lands the title's promise in your own words (no greeting).
    • Line 2 raises the stakes or names the obstacle (opens the loop).
    • Line 3 makes the watch-contract ("by the end you will..").
    • Note where B-roll, a cold-open clip, or on-screen text goes. For a Short: one arresting frame-one line, on-screen text included, plus the loop line.
  5. Strip the intro. Cut any "welcome back", logo sting, or channel-trailer reflex. The hook is the first thing the viewer hears.
  6. Humanizer pass. Scrub 2026 AI vocabulary by density (one marker in a beat is a slip; three is a script, rewrite the beat), break stacked or hollow rule-of-three, strip reveal bridges ("Here's what nobody tells you") and sincerity openers ("not gonna lie", "let me be honest"); use .. for a spoken pause instead of a dash on the teleprompter. Make it sayable; never insert a punch line or a "No X. No Y. Just Z." beat for rhythm, and never add a hedge the creator did not write.
  7. Approval card. Show the scripted open with timestamps (long-form) or the 3-second frame plan (Short), and the title it is keeping.
  8. On approval. This is a script the user performs; it is not published by itself. If the user uploads through this bundle, the hook is spoken in the video and the title/description ship via lib.publish(...).

Hard rules

Global voice rules: see root SKILL.md Voice rules. Additional skill-specific rules:

  • No greeting, no intro animation, no logo sting before the hook. Ever.
  • Long-form: the promise from the title is restated in the first 1 to 2 spoken lines, then a loop is opened. Earn the next 30 seconds by the 30-second mark.
  • Short: the payoff or tension lands on frame one (second 0 to 1), with on-screen text so it works muted. Design the ending to loop back to the start.
  • The opening can never promise more than the video delivers. Honor the click.
  • Use .. for a spoken pause. A dash in a script is only a breath mark the reader sees, not a tell, but .. reads better on a teleprompter.

Anti-patterns (skill will refuse)

  • "Hey guys, welcome back to the channel" or any greeting in the open.
  • A 15-second intro animation before the first word of value.
  • A cold open that teases a moment not actually in the video.
  • "Make sure to like and subscribe" inside the first 30 seconds.
  • A "No X. No Y. Just Z." staccato stack or "The result?" reveal inserted for punch.
  • Announced candor ("let me be honest", "not gonna lie") with no specific fact behind it.
  • A Short that opens with a slow zoom or a logo instead of the payoff.

Resources

  • ../../references/hook-formulas.md - Y7-Y10 opening-hook skeletons and the title pairing
  • ../../references/algorithm-heuristics.md - the first-30-seconds and 3-second retention rules
  • references/retention-beats.md - the beat-by-beat opening structure for long-form and Shorts

Related skills

  • yt-title-optimizer - the promise the hook keeps
  • yt-thumbnail-brief - the emotion the open should match
  • yt-description-writer - the written hook (different surface from the spoken one)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Yt Hook Scripter AI skill do?

Script the spoken opening that decides retention: the first 30 seconds of a long-form YouTube video or the first 3 seconds of a YouTube Short. Uses 2026 patterns (restate-and-raise, cold-open payoff tease, question-and-contract, and the 3-second frame-one Shorts hook with a designed loop) to confirm the title's promise, open a loop, and earn the next 30 seconds with no intro. Use to write or fix a video opening. Not for the title (use yt-title-optimizer) or description (use yt-description-writer).

Why use Yt Hook Scripter on TypingMind?

Because you install it once and use it with any model. Yt Hook Scripter 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 Yt Hook Scripter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sergebulaev/youtube-skills/tree/main/skills/yt-hook-scripter. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Yt Hook Scripter?

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 Yt Hook Scripter?

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

Is the Yt Hook Scripter AI skill free?

Yes. It is published on GitHub by sergebulaev 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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