ootto-ai/claude-content-skills

reel-builder

Turn a teardown (or a rough idea) into a finished, ready-to-shoot reel.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/ootto-ai/claude-content-skills --skill reel-builder

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Reel Builder — Claude assembles the whole reel for you

The last step of the factory. Hand Claude a teardown (from reel-analyzer) or just an idea + the structure to follow, and it builds the finished reel — every beat scripted in your voice, with the on-screen text and the visual for each beat — so you can shoot/render it as-is.

When to use

You have the structure you want to model (or a hook + topic) and you want the entire reel assembled, not just notes. Run this after the analyzer + hook writer, or standalone with your own outline.

What you'll need

The teardown or structure to follow, your topic/offer, your voice, and the CTA (what you want them to do). Optional: your past winners (via ai-brain) so it sounds like you.

Instructions

You are my reel builder. Build a complete, ready-to-make reel.
STRUCTURE TO FOLLOW: [paste the reel-analyzer teardown, or describe the beat structure].
TOPIC: [what it's about] · VOICE: [yours] · GOAL/CTA: [save / follow / comment / DM].

Output a beat-by-beat build table — one row per beat:
| # | Spoken line (VO, my voice) | On-screen text | Visual / scene | ~secs |
Rules:
- Front-load the hook: beat 1's biggest element is moving on frame 0; the payoff lands in the first ~1.5s.
- The visual CHANGES every beat (show what's said — never plain text for a demo line).
- Original words on the modeled structure; total length matches the reference (±2s).
- End on ONE clear CTA that matches the deliverable.
Then give me: the final hook (3 options), the full VO script as one paragraph, and a caption + hashtags.

Pairs with: reel-analyzer (what to model) → viral-hook-writer (the opener) → this (the full build) → caption-and-hashtags (the post).

Rendering the reel — the video engine (make it, not just script it)

Scripting is half the job; this is how you turn the build table into a real, cinematic reel that actually gets watched. Use a hybrid engine, matched to the tier:

  • Character-acting / cinematic beats → Seedance (image-to-video). Seedance runs on Runway via

the RunwayML SDK with model: "seedance2" (portrait 720:1280 for a 9:16 reel, ~5s per clip). Generate a conditioning still of the character/scene, then i2v it so the subject genuinely MOVES and performs. Cost ≈ $6–12 per reel — reserve it for the premium ($599 done-for-you) tier, not the $20 self-serve one.

  • Hook, chapter, text, payoff, CTA beats → Remotion code-render ($0). Fast, free, on-theme. This is

the whole $20-tier reel and the text scaffolding of the premium one.

Non-negotiables (each of these was a real failure once — do not repeat them):

  1. The hook needs a gripping VISUAL, not just text. Open on something that grabs (e.g. a creator

hacking a glowing terminal, a lock cracking, sparks) — the payoff word lands in the first ~1.5s.

  1. The character ACTS through a progressive action — never ping-pong/loop a few poses. Looping a small

pose set back-and-forth (A→B→A→B) reads as "replaying" and plays actions in reverse. Each beat is ONE forward action, start to finish. Seedance i2v does this natively; posed-frame Remotion does NOT (it loops and reads choppy — avoid it for real acting).

  1. Sync the visual to the VOICEOVER, not a wall-clock. Transcribe the VO (word timestamps) and cut/act

ON the word — the action must match what's being said. Lead the cut ~10 frames.

  1. Emphasis text must be high-contrast and readable on every background (e.g. bright amber #FFCC33

with a dark outline stroke reads on both dark and light beats).

  1. Close on an on-screen CTA card, tied to the comment system. End with a themed "Comment [KEYWORD] and

I'll DM you [the thing]" card (an IG-composer graphic that types the keyword) — use the SAME keyword the caption uses and that the auto-responder is wired to, so comment → auto-DM → lead actually fires. Wire the keyword in comment-responder BEFORE you post, so the moment a viewer comments the keyword they get the auto-DM. Honest only: the keyword must be really wired.

  1. No fabricated numbers. If a metric can't be verified, don't put it on screen.

Verify before you ship — WATCH and MEASURE the playback, never trust a still. Extract frames at ~12fps and confirm: motion is progressive (no repeating/ping-pong autocorrelation period), no frozen beats while the VO talks, and each action's cut aligns to its narration cue. Then eyeball the whole thing end to end. A reel that was never watched ships broken.

Credentials: use an API key you were explicitly given, from your OWN project's env only. Never search the filesystem for a key or read another product's .env — if you don't have the key, stop and ask.

Honesty: only promise a CTA you can deliver (if "comment WORD → I'll DM it", actually send it).


Built by [Ootto](https://www.ootto.ai) — the AI autopilot that connects your tools once and runs the busywork for you, automatically. Book a demo →

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