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How to make a vertical 9:16 product teaser for social with Hyperframes Motion Reel Skill

Generate a 1080 x 1920 HyperFrames teaser for a product launch from a short brief.

  • Content
  • Intermediate
  • 60 minutes
  • From the README
  • Claude Code

Who it is forA marketer or founder preparing a short launch clip for vertical feeds who needs a fast first draft in the right format.

The problemReformatting a motion piece for vertical social placement usually means rebuilding layout, timing and export settings.

The outcomeA vertical MP4 teaser sized 1080 x 1920, timed to the beat grid and rendered at delivery quality.

What you need first

  • Claude Code with the skill cloned into ~/.claude/skills/hyperframes-motion-reel
  • The HyperFrames domain skills: /hyperframes-core, /hyperframes-animation, /hyperframes-keyframes, /hyperframes-creative, /hyperframes-registry, /hyperframes-cli, /hyperframes-audio
  • Node.js (current LTS) and npx
  • Google Chrome, used by the HyperFrames renderer
  • ffmpeg and ffprobe on PATH

Steps

  1. Install the skill with git clone https://github.com/Sunwood-ai-labs/hyperframes-motion-reel-skill ~/.claude/skills/hyperframes-motion-reel and confirm the HyperFrames domain skills are present.
  2. In Claude Code, run /hyperframes-motion-reel Product launch teaser for an AI camera, vertical 9:16, replacing the product description with yours.
  3. Review the generated DESIGN.md and beat timeline, and request changes to copy or colors in the prompt before implementation.
  4. Run npx hyperframes lint and npx hyperframes check until check reports 0 findings.
  5. Run npx hyperframes render --fps 60 --quality delivery and confirm with ffprobe that the output is 1080 x 1920.

Prompt for your agent

In the hyperframes-motion-reel-skill repo, run /hyperframes-motion-reel with the brief <product description>, vertical 9:16. Expected output: a 1080 x 1920 MP4 teaser rendered at 60 FPS. Verify the frame size with ffprobe on the final file.

Caveat. The README lists 1080 x 1920 for vertical output but does not say how the skill handles on-screen text safe areas for each platform, so check those yourself.

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