# Confetti Parade — component for particles & physics (html)

> **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page.

Two confetti cannons firing continuous streams in from the left and right edges, arcing over the middle

- **Install:** `pnpm add @tsparticles/engine @tsparticles/slim @tsparticles/preset-<name>`
- **Registry:** tsparticles · **Framework:** html · **License:** MIT
- **Docs and preview:** https://particles.js.org/demos/recipes/confetti-parade
- **Source:** https://github.com/tsparticles/presets/blob/main/presets/confettiParade/src/options.ts
- **Example:** https://skills.varg.ai/previews/lib-tsparticles-confetti-parade.mp4?v=326693 (Rendered by varg from the library’s own code (tsParticles · rendered by varg))
- **Time:** Drive from the frame. Runs on its own clock (requestAnimationFrame, timers, springs or CSS). Drive it from frame / fps before rendering, or the render drifts.
- **Runs:** local render, free
- **Aspect:** any

## Prompt that renders it frame-exact

Use the tsParticles Confetti Parade preset (https://particles.js.org/demos/recipes/confetti-parade, MIT, options in github.com/tsparticles/presets/blob/main/presets/confettiParade/src/options.ts) as a transparent overlay that frames a winner, a product or a big number from both sides. Load @tsparticles/engine and @tsparticles/preset-confetti-parade (or its CDN bundle tsparticles.preset.confettiParade.bundle.min.js), call loadConfettiParadePreset(tsParticles), then tsParticles.load({ id, options: { preset: "confettiParade", fullScreen: { enable: false } } }) into a full-frame div layered above the video. The cannons fire for about 10 s from the moment the container is created, so create it on the cue. tsParticles ticks on requestAnimationFrame and derives each step from the frame timestamp, so make it deterministic: seed Math.random before loading, swap requestAnimationFrame for a queue you flush once per video frame with the timestamp frame × 1000 / fps (keep fpsLimit at or above the video fps), and render frames in order from the moment it starts (it is a running simulation, so replay from that point after a backwards seek). Set the colors from the brand, emitters[].rate.quantity for how thick the streams are, and emitters[].position.y to raise or lower the cannons.

## Used in

- [Top-N listicle](https://skills.varg.ai/video/listicle.md)
- [Quiz, poll & would-you-rather](https://skills.varg.ai/video/quiz.md)
- [Bar chart race](https://skills.varg.ai/video/chart-race.md)
- [Science what-if explainer](https://skills.varg.ai/video/science-explainer.md)
- [Lyric video](https://skills.varg.ai/video/lyric-video.md)
- [Audio visualizer](https://skills.varg.ai/video/visualizer.md)
- [Logo sting](https://skills.varg.ai/video/logo-sting.md)
- [Countdown & launch timer](https://skills.varg.ai/video/countdown.md)

## More particles & physics

- [Confetti](https://skills.varg.ai/component/hf.confetti.md) — `npx hyperframes add confetti`
- [Liquid Metal](https://skills.varg.ai/component/hf.liquid-metal.md) — `npx hyperframes add liquid-metal`
- [Particle Image Reveal](https://skills.varg.ai/component/hf.particle-image-reveal.md) — `npx hyperframes add particle-image-reveal`
- [Pendulum Swing](https://skills.varg.ai/component/hf.pendulum-swing.md) — `npx hyperframes add pendulum-swing`
- [Snow](https://skills.varg.ai/component/hf.snow.md) — `npx hyperframes add snow`
- [Spiral Galaxy](https://skills.varg.ai/component/hf.spiral-galaxy.md) — `npx hyperframes add spiral-galaxy`