🧮 The playful web's math engine
See the code
Math is the playful web's math engine.
> npm install math
> npx skills add pmndrs/math --skill math
import { type Vec3, vec3 } from 'math';
// math types are plain arrays — the constructors just return literals:
const a: Vec3 = [1, 2, 3]; // a plain-array literal
const b = vec3.fromValues(1, 2, 3); // the same as `a`
const out = vec3.create(); // returns [0, 0, 0]
// functions write into their first argument, so nothing is allocated:
vec3.add(out, a, b); // out = [2, 4, 6]
vec3.normalize(out, out); // aliasing an argument is fine
The library is grouped by domain behind subpath entrypoints. All APIs are highly tree-shakeable, only pay for what you use:
import { mat4, quat, vec3 } from 'math'; // core: vectors, quats, matrices
import { simplex3d } from 'math/noise'; // perlin / simplex noise
import { mulberry32 } from 'math/random'; // seeded rng
import { easing, spring } from 'math/time'; // easings & springs
import { fabrik2, fabrik3 } from 'math/ik'; // inverse kinematics
// also: math/color, math/geometry, math/shapes — import only what you use
Math has a skill that teaches your agent how to get the most out of it. The skill gives direction on how to design efficient, optimized and data-oriented JS code, outline common gotchas and provide some code examples that optimize memory. Try your agent with /math and see how its performance compares.
4,534 followers · starred Nov 2021
262 followers · starred Sep 2026
275 followers · starred Sep 2026
426 followers · starred Apr 2022
🧮 The playful web's math engine
See the code
Math is the playful web's math engine.
> npm install math
> npx skills add pmndrs/math --skill math
import { type Vec3, vec3 } from 'math';
// math types are plain arrays — the constructors just return literals:
const a: Vec3 = [1, 2, 3]; // a plain-array literal
const b = vec3.fromValues(1, 2, 3); // the same as `a`
const out = vec3.create(); // returns [0, 0, 0]
// functions write into their first argument, so nothing is allocated:
vec3.add(out, a, b); // out = [2, 4, 6]
vec3.normalize(out, out); // aliasing an argument is fine
The library is grouped by domain behind subpath entrypoints. All APIs are highly tree-shakeable, only pay for what you use:
import { mat4, quat, vec3 } from 'math'; // core: vectors, quats, matrices
import { simplex3d } from 'math/noise'; // perlin / simplex noise
import { mulberry32 } from 'math/random'; // seeded rng
import { easing, spring } from 'math/time'; // easings & springs
import { fabrik2, fabrik3 } from 'math/ik'; // inverse kinematics
// also: math/color, math/geometry, math/shapes — import only what you use
Math has a skill that teaches your agent how to get the most out of it. The skill gives direction on how to design efficient, optimized and data-oriented JS code, outline common gotchas and provide some code examples that optimize memory. Try your agent with /math and see how its performance compares.
4,534 followers · starred Nov 2021
262 followers · starred Sep 2026
275 followers · starred Sep 2026
426 followers · starred Apr 2022