vamseeachanta
vamseeachanta/workspace-hub
相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill algorithmic-art-noise-fields命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | algorithmic-art-noise-fields |
| description | Sub-skill of algorithmic-art: Noise Fields (+2). |
| version | 2.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
loadPixels();
for (let x = 0; x < width; x++) {
for (let y = 0; y < height; y++) {
let n = noise(x * 0.01, y * 0.01);
let idx = (x + y * width) * 4;
pixels[idx] = pixels[idx+1] = pixels[idx+2] = n * 255;
pixels[idx + 3] = 255;
}
}
updatePixels();
let particles = [];
for (let i = 0; i < 500; i++) {
particles.push({ x: random(width), y: random(height), vx: 0, vy: 0 });
}
function draw() {
background(10, 10, 20, 20);
for (let p of particles) {
let angle = noise(p.x * 0.01, p.y * 0.01) * TWO_PI * 2;
*See sub-skills for full details.*
## Recursive Structures
```javascript
function fractalTree(x, y, len, angle, depth) {
if (depth === 0 || len < 2) return;
let x2 = x + cos(angle) * len;
let y2 = y + sin(angle) * len;
stroke(255, 255 - depth * 20);
strokeWeight(depth * 0.5);
line(x, y, x2, y2);
let spread = random(0.3, 0.6);
fractalTree(x2, y2, len * 0.7, angle - spread, depth - 1);
fractalTree(x2, y2, len * 0.7, angle + spread, depth - 1);
}