Webgl Laser logo

Webgl Laser

Community
boraoztunc
webgl-laser

Create a fixed full-screen WebGL laser background effect with a thin white-hot vertical core, restrained brand-colored halo, and soft smoky fog around the beam. Use only for laser background effects, not full page layout, copy, generic hero scenes, particles, or unrelated motion systems.

Overview

Publisherboraoztunc
Repositoryskills
Skill namewebgl-laser
Stars
422
Forks
63
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by boraoztunc on GitHub. Read the source before you install it.

Installation

Install the Webgl Laser AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/boraoztunc/skills/tree/main/webgl-laser
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/boraoztunc/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/webgl-laser .claude/skills/webgl-laser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Webgl Laser in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Webgl Laser on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Webgl Laser is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WebGL Laser

Scope

  • Apply only to the laser background effect.
  • Use a fixed full-screen canvas behind the DOM.
  • Set pointer-events: none on the canvas.
  • Keep page content in a higher stacking context.
  • Match the halo and smoke to the page's primary or strongest accent color.

Visual Target

  • Thin vertical beam: crisp white-hot inner core, narrow colored halo.
  • Atmospheric smoke: soft cloudy breakup concentrated around the beam.
  • Dark cinematic field: restrained, brand-colored, and readable behind content.
  • Slow pulse: glow breathes gently; no aggressive flicker or color cycling.
  • Light blade feel: narrow and precise, never a thick neon pillar.

Layering

html
<canvas class="laser-canvas" data-webgl-laser></canvas>
<main class="page-content">
  ...
</main>
css
.laser-canvas {
  position: fixed;
  inset: 0;
  z-index: 0;
  width: 100vw;
  height: 100vh;
  pointer-events: none;
}

.page-content {
  position: relative;
  z-index: 1;
}

Brand Color

Use the product accent as the source color. The shader keeps the core near white and derives the halo/smoke from this color.

js
function hexToRgb01(hex) {
  const clean = hex.replace("#", "").trim();
  const value = clean.length === 3
    ? clean.split("").map((char) => char + char).join("")
    : clean;

  return [
    parseInt(value.slice(0, 2), 16) / 255,
    parseInt(value.slice(2, 4), 16) / 255,
    parseInt(value.slice(4, 6), 16) / 255,
  ];
}

const accent = getComputedStyle(document.documentElement)
  .getPropertyValue("--brand-accent")
  .trim() || "#ff4d8d";

Raw WebGL Setup

Prefer raw WebGL with a full-screen quad unless the active file already uses another renderer.

js
const laserVertexShader = `
attribute vec2 a_position;
varying vec2 v_uv;

void main() {
  v_uv = a_position * 0.5 + 0.5;
  gl_Position = vec4(a_position, 0.0, 1.0);
}
`;

const laserFragmentShader = `
precision highp float;

uniform vec2 u_resolution;
uniform float u_time;
uniform vec3 u_color;
uniform float u_xOffset;
uniform float u_coreWidth;
uniform float u_glowWidth;
uniform float u_smokeDensity;

varying vec2 v_uv;

float hash(vec2 p) {
  p = fract(p * vec2(123.34, 456.21));
  p += dot(p, p + 45.32);
  return fract(p.x * p.y);
}

float noise(vec2 p) {
  vec2 i = floor(p);
  vec2 f = fract(p);
  vec2 u = f * f * (3.0 - 2.0 * f);

  float a = hash(i);
  float b = hash(i + vec2(1.0, 0.0));
  float c = hash(i + vec2(0.0, 1.0));
  float d = hash(i + vec2(1.0, 1.0));

  return mix(mix(a, b, u.x), mix(c, d, u.x), u.y);
}

float fbm(vec2 p) {
  float value = 0.0;
  float amplitude = 0.5;

  for (int i = 0; i < 5; i++) {
    value += amplitude * noise(p);
    p *= 2.02;
    amplitude *= 0.5;
  }

  return value;
}

void main() {
  vec2 aspect = vec2(u_resolution.x / u_resolution.y, 1.0);
  vec2 p = (v_uv - 0.5) * aspect;
  float x = p.x - u_xOffset;
  float distanceToBeam = abs(x);

  float core = exp(-pow(distanceToBeam / u_coreWidth, 2.0));
  float glow = exp(-pow(distanceToBeam / u_glowWidth, 1.45));
  float scatter = exp(-pow(distanceToBeam / (u_glowWidth * 5.5), 1.25));
  float pulse = 0.9 + 0.1 * sin(u_time * 1.15);

  vec2 fogUv = p * 3.1 + vec2(0.0, -u_time * 0.035);
  fogUv.x += sin(p.y * 3.5 + u_time * 0.11) * 0.14;
  float fogBase = fbm(fogUv);
  float fogFine = fbm(p * 8.0 + vec2(sin(u_time * 0.07) * 0.35, u_time * 0.05));
  float fog = smoothstep(0.30, 0.86, fogBase * 0.72 + fogFine * 0.28);
  float smoke = fog * scatter * u_smokeDensity;

  vec3 brand = clamp(u_color, 0.0, 1.0);
  vec3 haloColor = mix(brand, vec3(1.0), 0.16);
  vec3 smokeColor = mix(brand, vec3(0.55), 0.28) * 0.55;
  vec3 hotCore = vec3(1.0, 0.96, 0.90);

  vec3 color = vec3(0.006, 0.007, 0.010);
  color += smokeColor * smoke;
  color += haloColor * glow * 0.46 * pulse;
  color += hotCore * core * 1.35;

  float vignette = smoothstep(1.25, 0.18, length(p));
  color *= vignette;

  float alpha = clamp(smoke * 0.72 + glow * 0.68 + core, 0.0, 1.0);
  gl_FragColor = vec4(color, alpha);
}
`;

Initializer

Keep u_resolution synced on resize and animate through u_time.

js
function createShader(gl, type, source) {
  const shader = gl.createShader(type);
  gl.shaderSource(shader, source);
  gl.compileShader(shader);

  if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
    throw new Error(gl.getShaderInfoLog(shader) || "Shader compile failed");
  }

  return shader;
}

function createProgram(gl, vertexSource, fragmentSource) {
  const program = gl.createProgram();
  gl.attachShader(program, createShader(gl, gl.VERTEX_SHADER, vertexSource));
  gl.attachShader(program, createShader(gl, gl.FRAGMENT_SHADER, fragmentSource));
  gl.linkProgram(program);

  if (!gl.getProgramParameter(program, gl.LINK_STATUS)) {
    throw new Error(gl.getProgramInfoLog(program) || "Program link failed");
  }

  return program;
}

function initWebGLLaser(canvas, options = {}) {
  if (!canvas) return () => {};

  const gl = canvas.getContext("webgl", {
    alpha: true,
    antialias: false,
    premultipliedAlpha: false,
  });

  if (!gl) return () => {};

  const program = createProgram(gl, laserVertexShader, laserFragmentShader);
  const positionBuffer = gl.createBuffer();
  const positions = new Float32Array([
    -1, -1,
     1, -1,
    -1,  1,
    -1,  1,
     1, -1,
     1,  1,
  ]);

  gl.bindBuffer(gl.ARRAY_BUFFER, positionBuffer);
  gl.bufferData(gl.ARRAY_BUFFER, positions, gl.STATIC_DRAW);
  gl.useProgram(program);

  const positionLocation = gl.getAttribLocation(program, "a_position");
  const uniforms = {
    resolution: gl.getUniformLocation(program, "u_resolution"),
    time: gl.getUniformLocation(program, "u_time"),
    color: gl.getUniformLocation(program, "u_color"),
    xOffset: gl.getUniformLocation(program, "u_xOffset"),
    coreWidth: gl.getUniformLocation(program, "u_coreWidth"),
    glowWidth: gl.getUniformLocation(program, "u_glowWidth"),
    smokeDensity: gl.getUniformLocation(program, "u_smokeDensity"),
  };

  gl.enableVertexAttribArray(positionLocation);
  gl.vertexAttribPointer(positionLocation, 2, gl.FLOAT, false, 0, 0);
  gl.enable(gl.BLEND);
  gl.blendFunc(gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA);

  const color = options.color || hexToRgb01(accent);
  const reduceMotion = window.matchMedia("(prefers-reduced-motion: reduce)").matches;
  let width = 1;
  let height = 1;
  let rafId = 0;

  function resize() {
    const dpr = Math.min(window.devicePixelRatio || 1, options.maxDpr || 1.5);
    width = Math.max(1, window.innerWidth);
    height = Math.max(1, window.innerHeight);
    canvas.width = Math.floor(width * dpr);
    canvas.height = Math.floor(height * dpr);
    gl.viewport(0, 0, canvas.width, canvas.height);
  }

  function render(time = 0) {
    gl.useProgram(program);
    gl.uniform2f(uniforms.resolution, canvas.width, canvas.height);
    gl.uniform1f(uniforms.time, time * 0.001);
    gl.uniform3f(uniforms.color, color[0], color[1], color[2]);
    gl.uniform1f(uniforms.xOffset, options.xOffset || 0.0);
    gl.uniform1f(uniforms.coreWidth, options.coreWidth || 0.0045);
    gl.uniform1f(uniforms.glowWidth, options.glowWidth || 0.035);
    gl.uniform1f(uniforms.smokeDensity, options.smokeDensity || 0.52);

    gl.clearColor(0, 0, 0, 0);
    gl.clear(gl.COLOR_BUFFER_BIT);
    gl.drawArrays(gl.TRIANGLES, 0, 6);

    if (!reduceMotion) rafId = requestAnimationFrame(render);
  }

  function handleResize() {
    resize();
    render();
  }

  resize();
  render();
  window.addEventListener("resize", handleResize);

  return () => {
    cancelAnimationFrame(rafId);
    window.removeEventListener("resize", handleResize);
    gl.deleteBuffer(positionBuffer);
    gl.deleteProgram(program);
  };
}

const cleanupLaser = initWebGLLaser(document.querySelector("[data-webgl-laser]"), {
  color: hexToRgb01(accent),
  xOffset: 0.0,
  coreWidth: 0.0045,
  glowWidth: 0.035,
  smokeDensity: 0.52,
  maxDpr: 1.5,
});

Tuning Knobs

  • Beam position: adjust xOffset; keep it in aspect-correct centered UV space.
  • Beam thickness: tune coreWidth separately from glowWidth; keep the core extremely thin.
  • Color: derive color from the brand accent, then soften halo and smoke in shader.
  • Smoke density: tune smokeDensity, FBM scale, drift speed, scatter width, and edge falloff.
  • Performance: reduce FBM octaves or cap maxDpr before changing the visual structure.

Taste Rules

  • The hottest beam core stays near white.
  • The halo and fog use the design's primary or strongest accent color.
  • Smoke blooms near the beam and dissipates outward.
  • Pulse affects glow only; avoid rapid flicker.
  • Content readability wins over bloom, haze, or cinematic drama.

Avoid

  • Hardcoding blue when the design uses another primary color.
  • Making the beam thick enough to read as a glowing bar.
  • Generic full-screen fog that is not concentrated around the beam.
  • Turning the effect into a Three.js scene, particle explosion, or multicolor neon background.
  • Letting the canvas intercept pointer events.
  • Dense fog or extreme bloom that washes out foreground UI.

Frequently asked questions

What does the Webgl Laser AI skill do?

Create a fixed full-screen WebGL laser background effect with a thin white-hot vertical core, restrained brand-colored halo, and soft smoky fog around the beam. Use only for laser background effects, not full page layout, copy, generic hero scenes, particles, or unrelated motion systems.

Why use Webgl Laser on TypingMind?

Because you install it once and use it with any model. Webgl Laser is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Webgl Laser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/boraoztunc/skills/tree/main/webgl-laser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Webgl Laser?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Webgl Laser?

As many as you like. As long as a model supports skills, you can use Webgl Laser with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Webgl Laser AI skill free?

Yes. It is published on GitHub by boraoztunc under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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