agentleFS
sergebulaevsergebulaev/youtube-skills/skills/yt-hook-scripter/SKILL.md

yt-hook-scripter

Skill82 starsChanged 5 months agoMITView on GitHub

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).

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Pick the formula: Use the pairing table in the hook-formulas reference: the title formula suggests the opening hook (a curiosity-gap title …

    line 44
  2. Distinctive:

    No greeting, no intro animation, no logo sting before the hook.

    line 74
  3. Very specific:

    Use .. for a spoken pause.

    line 80

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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)

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.