2.3 KiB
@suaveplan/noise
Seeded spatial noise fields for procedural content generation. Provides six field types — Perlin, Simplex (2D/3D/4D), Value, Worley/cellular (F1/F2/F2-F1 modes), fBm (fractal Brownian motion compositor), and Poisson-disk Blue noise sampling — all seeded with Sfc32Rng for byte-identical, reproducible output. Every generator is available as both a functional API and a stateful class. Use this package for terrain heightmaps, texture generation, cloud simulation, vegetation scattering, and any procedural system that needs spatially-coherent randomness. For non-spatial random values (UUIDs, shuffles, distributions) use @suaveplan/random; for seeded integer/float sequences use @suaveplan/pseudo-random.
When to use this skill
- Implementing or debugging code that imports
@suaveplan/noise. - The task touches: see package README.
- You need API guidance for this package's exports.
Quick reference
import { /* see API Reference below */ } from "@suaveplan/noise";
Dependencies
Workspace dependencies: @suaveplan/error, @suaveplan/pseudo-random, @suaveplan/types
Where to read more
This skill is intentionally short. The package's own documentation is the authoritative source — read these in order:
packages/foundation/noise/README.md— overview, install, quick-start, module indexpackages/foundation/noise/src/**/*.md— co-located docs per implementation file (Purpose, Features, Basic + Advanced examples, full API reference, Implementation notes — all packages ship ≥200 words per module)packages/foundation/noise/package.jsonexportsmap — every subpath you can import from
When the user asks an API question, read the relevant co-located .md first; do not answer from training-data memory.
See also
@suaveplan/error@suaveplan/pseudo-random@suaveplan/types
This SKILL.md is auto-generated by suaveplan-skills/scripts/generate-skills.ts from the package's README. Do not edit by hand — re-run the generator after the README changes.