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Tt hook scripter

Skill sergebulaev/tiktok-skills/skills/tt-hook-scripter

TikTok marketing skills for Claude Code and Codex: 3-second video hooks, captions, trend mapping, and a weekly plan. Draft, humanize, and publish via Publora. MIT.

Install
npx -y skills add sergebulaev/tiktok-skills --skill tt-hook-scripter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Script the first 1-3 second TikTok hook: the spoken line, the on-screen text, and the opening visual firing at once so the viewer cannot swipe. Picks a 2026 hook formula (cold-open result, pattern interrupt, number reveal, open-loop question, relatable call-out, story) by goal of completion, saves, comments, or shares. The single biggest retention lever on TikTok. Use to script a hook from a video idea. Not for the caption (use tt-caption-writer) or scrubbing a script (use tt-humanizer).

SKILL.md

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TikTok Hook Scripter

Write the first 1 to 3 seconds of a TikTok video: the spoken line, the on-screen text, and the opening visual, all firing at once. This is the single biggest lever on the whole platform. TikTok's ranker runs on completion rate, and a viewer decides to stay or swipe before second three. If the hook does not win, nothing downstream gets watched.

When to use

  • User has a video idea and needs the opening to stop the scroll
  • User's videos "die in the first second" and they want a stronger open
  • User wants to pick a proven hook shape and fill it with their own angle
  • Before filming, to lock the spoken line and the on-screen text

What this skill produces

For one video idea, a ready-to-film hook block:

  • Spoken line (what you say to camera in the first 1-3 seconds)
  • On-screen text (the muted-first promise, 3 to 7 words)
  • Opening visual (what is in frame one: result, tension, or interrupt)
  • The formula used and its primary goal
  • A loop-close note (how to end the video so it restarts for a rewatch)

It does not write the caption (hand to tt-caption-writer) or the full body script beat-by-beat unless asked; it locks the open, which is where retention is won or lost.

Formulas this skill uses

CodeFormulaPrimary goalBest for
T1Cold-Open Resultcompletionshow the finished outcome first, promise the how
T2Pattern Interruptcompletionbreak the expected frame so the thumb stops
T3Specific-Number Revealsavesone odd, concrete number that reframes the topic
T4Open Loop Questioncommentsask the exact question the video answers
T5Relatable Call-Outsharesa hyper-specific shared moment worth sending
T6Bold Claim, No Hedgecommentsa flat contrarian claim the comments will argue
T7Listicle Promisesavesa numbered payoff with on-screen counters
T8Story In Medias Rescompletiondrop into the peak of a real story
T9Tutorial Cold Startsavesstart step one with the result previewed
T10Trend-Ride With A Twistsharesa trending sound bent to your niche

Full skeletons (three layers each) in ../../references/hook-formulas.md.

Pick by goal first

GoalReach for
CompletionT1, T2, T8
SavesT3, T7, T9
CommentsT4, T6
SharesT5, T10

Steps

  1. Gather inputs. The video idea, the niche/audience, the one promise the video delivers, and the goal (completion / saves / comments / shares).
  2. Pick the formula. Use the goal table to shortlist, then suggest 2-3 that also fit the idea and let the user choose. For a trend ride (T10), hand the sound-fit question to tt-trend-mapper first.
  3. Write all three layers. Spoken line, on-screen text, opening visual. The spoken line and the on-screen text MUST differ (muted-first viewing). Respect the 2026 rules:
    • The result or the tension is in frame one. No greeting, no logo, no zoom.
    • One specific number where the claim allows it.
    • Say it the way a person talks; read it out loud.
    • No em dashes or AI vocabulary anywhere.
  4. Write the loop-close note. How the last frame should land so a rewatch feels natural (a rewatch is almost a second view).
  5. Humanizer pass. Run the spoken line through the tt-humanizer rules to strip script tells before it ever reaches camera.
  6. Approval card. Show: formula, the three layers, primary goal, the loop-close note, and an estimated hook duration.
  7. Hand off. Offer tt-caption-writer for the caption and settings, and tt-content-planner if they are batching multiple hooks.

Hard rules

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

  • The hook is the first 1-3 seconds of the video, not the caption. Never let the caption do the hook's job.
  • The spoken line and the on-screen text are two different jobs. Do not repeat the same words in both.
  • Frame one shows something (result, tension, interrupt). No dead air, no intro.
  • One specific number in the hook beats any adjective.
  • The hook opens the loop; it never answers itself.

Anti-patterns (skill will refuse)

  • "Hey guys" / "welcome back" / "in this video" openers.
  • A logo animation or slow zoom before the words start.
  • Reading the caption aloud as the hook.
  • Promising a result the video never shows on screen.
  • ALL CAPS spoken scripts (you cannot shout for 30 seconds).
  • Em dashes or AI vocabulary in the on-screen text.
  • Five stacked calls to action.

Resources

  • ../../references/hook-formulas.md - all 10 TikTok hook formulas (three layers each)
  • ../../references/algorithm-heuristics.md - why completion and the first second rule everything
  • references/hook-anatomy.md - the three-layer hook teardown and timing budget

Related skills

  • tt-caption-writer - the caption, TikTok settings, and hashtags
  • tt-trend-mapper - check sound fit before a trend-ride hook (T10)
  • tt-humanizer - scrub the spoken script so it sounds human on camera
  • tt-content-planner - batch multiple hooks for the week

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.