App Screens on a Rail — effect skill for grids & carousels
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Two to five app screens ride a horizontal rail: one centered and sharp, neighbors smaller and receded.
- Type: Effect · Grids & carousels
- Slug:
app-screens-on-rail - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/screen-flow-carousel
- Works in: Claude Code, Claude.ai, Codex, Cursor, OpenClaw, Gemini CLI, Any MCP client, varg Studio
- Requires: HyperFrames (npx hyperframes), Remotion, CapCut (by hand)
- Cost: Free — the take renders locally; generated footage, if any, bills by the model
What it does
Built on Screen Flow Carousel by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
Phone-sized screens in a row; the rail slides with momentum and snaps the next screen to center with a small overshoot.
When: Walk through an app flow (onboarding → home → detail) without device frames.
Watch out: Do not let side screens compete; scale them to ~80% and dim them 30–40%.
Timing: Slide 0.5–0.7 s with snap overshoot (back.out 1.2); 1.5–2.5 s per screen.
Also called: screen carousel, app screens, screen flow
In HyperFrames
npx hyperframes add screen-flow-carousel
Or velocity-throw-snap for a fast whip to the chosen screen.
In Remotion
const idx = interpolate(frame,[0,60,120],[0,1,2],{extrapolateRight:'clamp'});
screens.map((s,i)=>{const d=i-idx; return <Img src={s} style={{transform:`translateX(${d*420}px) scale(${1-Math.min(Math.abs(d),1)*0.2})`, opacity:1-Math.min(Math.abs(d),1)*0.35}}/>})
In CapCut
Place screens in a row as one long image; keyframe Position X with snaps; add a blur mask on the sides.
Ready-made components
- Screen Flow Carousel (hyperframes): npx hyperframes add screen-flow-carousel
- Cuboid Carousel (hyperframes): npx hyperframes add cuboid-carousel
- Velocity Throw Snap (hyperframes): npx hyperframes add velocity-throw-snap
Where this comes from
Use when
- Walk through an app flow (onboarding → home → detail) without device frames.
Not for
- Do not let side screens compete; scale them to ~80% and dim them 30–40%.
Install
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg - Codex:
npx skills add vargHQ/skills --skill varg-video-edit-library -a codex -y - Cursor:
npx skills add vargHQ/skills --skill varg-video-edit-library -a cursor -y
Example output
https://s3.varg.ai/how-to/previews/d5bef41402a8/take-app-screens-on-rail.mp4 — The Screen Flow Carousel component rendered as installed (npx hyperframes add screen-flow-carousel), defaults only (credit: Rendered by varg · HyperFrames Screen Flow Carousel, https://hyperframes.heygen.com/catalog/components/screen-flow-carousel)
More grids & carousels skills
- Bento Feature Grid: Features land in a grid of differently sized rounded tiles — one hero tile, smaller supporting ones.
- Camera Drifts Across a Bento: An oversized grid of screenshots fills the frame and the camera drifts diagonally across it.
- Tilted Screenshot Wall: A wall of screenshots seen at an isometric angle, columns scrolling up and down at different speeds.
- Stacked Cards Fan Out: A pile of cards or photos shuffles, then fans or settles one forward into focus.
- Cards Orbit in a Ring: Image cards ride a circle, larger in front and smaller behind, sweeping fast-slow-fast.
- Rapid Screenshot Burst: Full-screen images slam in one on top of another on the beat, landing on the final hero shot.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Grok and any agent that reads SKILL.md:
npx skills add vargHQ/skills --skill varg-ai, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt