// components/ui/squiggly-text.tsx "use client"; import React, { useId } from "react"; import { motion, useTime, useTransform } from "motion/react"; import { cn } from "@/lib/utils"; export interface SquigglyTextProps { /** * The text (or any node) to wrap with the squiggly effect. */ children: React.ReactNode; className?: string; style?: React.CSSProperties; /** * Number of distinct displacement frames to cycle through. * Higher = smoother wobble, more SVG filters in the DOM. * @default 5 */ steps?: number; /** * Time between filter swaps, in milliseconds. * Lower = more frantic; higher = lazier wave. * @default 80 */ stepDuration?: number; /** * Maximum displacement in px. Bigger = more squiggly. * Pass a single number for a constant scale, or a tuple to alternate * between two values per step (matches the original Lucas Bebber demo). * @default [6, 8] */ scale?: number | [number, num…
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Prompt
// components/ui/squiggly-text.tsx
"use client";
import React, { useId } from "react";
import { motion, useTime, useTransform } from "motion/react";
import { cn } from "@/lib/utils";
export interface SquigglyTextProps {
/**
* The text (or any node) to wrap with the squiggly effect.
*/
children: React.ReactNode;
className?: string;
style?: React.CSSProperties;
/**
* Number of distinct displacement frames to cycle through.
* Higher = smoother wobble, more SVG filters in the DOM.
* @default 5
*/
steps?: number;
/**
* Time between filter swaps, in milliseconds.
* Lower = more frantic; higher = lazier wave.
* @default 80
*/
stepDuration?: number;
/**
* Maximum displacement in px. Bigger = more squiggly.
* Pass a single number for a constant scale, or a tuple to alternate
* between two values per step (matches the original Lucas Bebber demo).
* @default [6, 8]
*/
scale?: number | [number, number];
/**
* Turbulence base frequency. Lower values produce longer, smoother waves;
* higher values produce tighter, jitterier noise.
* @default 0.02
*/
baseFrequency?: number;
/**
* Number of turbulence octaves. Higher = more detailed noise.
* @default 3
*/
numOctaves?: number;
/**
* Render the wrapper as this element type.
* @default "span"
*/
as?: "span" | "div";
}
export function SquigglyText({
children,
steps = 5,
stepDuration = 80,
scale = [6, 8],
baseFrequency = 0.02,
numOctaves = 3,
as = "span",
className,
style,
}: SquigglyTextProps) {
const reactId = useId();
// useId can produce ":" / "_" which aren't valid in CSS url(#…) refs.
const safeId = reactId.replace(/[:_]/g, "");
const filterId = (i: number) => `squiggly-${safeId}-${i}`;
const filters = React.useMemo(
() => Array.from({ length: steps }, (_, i) => `url(#${filterId(i)})`),
// filterId is stable per render
// eslint-disable-next-line react-hooks/exhaustive-deps
[steps, safeId],
);
const time = useTime();
const filter = useTransform(
time,
(t) => filters[Math.floor(t / stepDuration) % filters.length],
);
const scaleAt = (i: number) =>
Array.isArray(scale) ? scale[i % scale.length] : scale;
const Wrapper = as === "div" ? motion.div : motion.span;
return (
<Wrapper
style={{ filter, ...style }}
className={cn("inline-block", className)}
>
<svg
aria-hidden
className="pointer-events-none absolute h-0 w-0 overflow-hidden"
xmlns="http://www.w3.org/2000/svg"
>
<defs>
{Array.from({ length: steps }).map((_, i) => (
<filter id={filterId(i)} key={i}>
<feTurbulence
baseFrequency={baseFrequency}
numOctaves={numOctaves}
result="noise"
seed={i}
/>
<feDisplacementMap
in="SourceGraphic"
in2="noise"
scale={scaleAt(i)}
/>
</filter>
))}
</defs>
</svg>
{children}
</Wrapper>
);
}Reusable method
Key decisions
Check whether information hierarchy, module order, and CTA clarity all hold in the final result.
Adapt it to your subject
Extract “target result → the product name, audience, page modules, and primary button → constraints” as a reusable template for similar work.
Where it breaks
Run single-variable comparisons around module order, value proposition, and CTA placement. Record the model, cost, and failures; turn it into a Skill only after it repeats reliably.
Recommended models
Creator
Aceternity UI focuses on production-ready AI interfaces and is active on Aceternity UI. “Parallax Hero Images” is the current representative case, built with 待补充模型 with its stability retest open to votes.
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