Integration Logos Light Up — effect skill for customer logos
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A grid of integration tiles sits dim; each lights with a traveling border glow as the narration names it.
- Type: Effect · Customer logos
- Slug:
integration-logos-light-up - Status: live
- Publisher: HeyGen (community)
- License: Apache-2.0
- Source: https://github.com/heygen-com/hyperframes/tree/main/registry/components/constellation-hub
- 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 Constellation Hub by HeyGen (HyperFrames), Apache-2.0. The write-up and recipes below are varg's.
Muted tiles with a thin bright segment racing around the active tile's border; the logo brightens to full color.
When: Name three or four key integrations out of many while keeping the others visible.
Watch out: Do not light all tiles; the dim ones give scale, the lit ones give focus.
Timing: Light each 0.3 s on its spoken word; border segment loop 1.5–2.5 s.
Also called: logo grid highlight, connected tools, border light
In HyperFrames
npx hyperframes add constellation-hub
Cue each tile's brightness/grayscale tween to its transcript word time.
In Remotion
// npx shadcn@latest add @magicui/border-beam
const lit = cues.some(c => frame >= c.f && frame < c.f + 60 && c.i === i);
<Tile style={{filter: lit? 'none':'grayscale(1) brightness(0.6)'}}>{lit && <BorderBeam/>}</Tile>
In CapCut
Grid of logos at 50% opacity; duplicate the active logo on top at 100% with a glow sticker, timed to the voiceover.
Ready-made components
- Constellation Hub (hyperframes): npx hyperframes add constellation-hub
- Border Trail (motion-primitives): npx motion-primitives@latest add border-trail
- Border Beam (magic-ui): npx shadcn@latest add @magicui/border-beam
Where this comes from
Use when
- Name three or four key integrations out of many while keeping the others visible.
Not for
- Do not light all tiles; the dim ones give scale, the lit ones give focus.
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/e3c36de0e7aa/take-integration-logos-light-up.mp4 — The Constellation Hub component rendered as installed (npx hyperframes add constellation-hub), defaults only (credit: Rendered by varg · HyperFrames Constellation Hub, https://hyperframes.heygen.com/catalog/components/constellation-hub)
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.
- Brand Chips Spring In: Round brand chips pop in one by one with a spring and overlap into a tidy stack.
- Logos Float Past in Depth: Partner or model logos drift past on a tilted plane, sharp near the camera and blurred toward the horizon.
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