Brand Chips Spring In — effect skill for customer logos
For AI agents: find the right skill in one call —
curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the how-to page.
Round brand chips pop in one by one with a spring and overlap into a tidy stack.
- Type: Effect · Customer logos
- Slug:
brand-chips-spring-in - Status: live
- Publisher: Kapish Dima · remocn (community)
- License: MIT
- Source: https://remocn.dev/r/logo-enter.json
- 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 Logo Enter by Kapish Dima (remocn), MIT. The write-up and recipes below are varg's.
Circular chips with white borders, each overlapping the last by ~25%, springing from 0 to 1 scale.
When: "Supports GPT, Claude, Gemini…" or "Used at" beats when space is tight (lower third, corner).
Watch out: Do not show more than 6–7 chips; add a "+40" chip instead.
Timing: Each chip 0.3 s spring (damping ~12), 60–80 ms stagger.
Also called: logo chips, avatar stack logos, model logos
In HyperFrames
npx hyperframes add badge-pop
tl.from(".chip",{scale:0,duration:0.3,ease:"back.out(1.8)",stagger:0.07})
In Remotion
// npx shadcn@latest add @remocn/logo-enter
<LogoEnter logos={[gpt, claude, gemini, krea]} />
In CapCut
Logo PNGs in circular Masks, overlapping; Animation In "Pop up" with 2-frame offsets.
Ready-made components
- Logo Enter (remocn): npx shadcn@latest add @remocn/logo-enter
- Badge Pop (hyperframes): npx hyperframes add badge-pop
- Avatar Group Hover (hyperframes): npx hyperframes add avatar-group-hover
Where this comes from
Use when
- "Supports GPT, Claude, Gemini…" or "Used at" beats when space is tight (lower third, corner).
Not for
- Do not show more than 6–7 chips; add a "+40" chip instead.
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/b9add12b6f1d/take-brand-chips-spring-in.mp4 — The Badge Pop component used as its header comment describes, with demo copy (credit: Rendered by varg · HyperFrames Badge Pop, https://hyperframes.heygen.com/catalog/components/badge-pop)
More customer logos skills
- Trusted-By Logo Marquee: A row of monochrome customer logos glides sideways in a seamless loop under a short line.
- Logo Grid Settles In: Logos fade and scale into a tidy grid with a soft stagger, then hold for a beat.
- Integrations Orbit the Logo: App icons circle your logo on one or two thin rings turning in opposite directions.
- Partner × Partner Lockup: Two logos slide together from opposite sides and lock around a thin × or + mark.
- Logos Float Past in Depth: Partner or model logos drift past on a tilted plane, sharp near the camera and blurred toward the horizon.
- Integration Logos Light Up: A grid of integration tiles sits dim; each lights with a traveling border glow as the narration names it.
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