Preface¶

Generative Art has always been a hot topic in the developer community: using code to create works that “are not exactly the same every time they run, but are reproducible” tests both algorithm design, parameter tuning and interactive experience. Building a p5.js project from scratch, writing seeded randomness, and adding sidebar sliders often requires repeating a lot of boilerplate code; if you write aesthetic directions, technical constraints and UI specifications into a document, you have to re-explain it to the AI every time.

Anthropic provided a creative example Skill in the official Skills repository —— algorithmic-art. It encapsulates the entire pipeline of “algorithmic philosophy → p5.js implementation → interactive HTML finished product” into reusable Agent instructions, and builds in template resources such as templates/viewer.html. This article introduces what it is, how to install it, and typical usage after verifying based on official materials.

What is it¶

algorithmic-art is an Agent Skill maintained by Anthropic, located in the skills/algorithmic-art directory of the anthropics/skills repository. The Skill adopts the universal SKILL.md format: YAML front matter metadata (name, description) plus Markdown body instructions, which can be loaded on demand by tools that support Agent Skills such as Cursor, Claude Code, and Claude.ai.

The official description summarizes its purpose: creating algorithmic art with p5.js, supporting seeded randomness and interactive parameter exploration; it triggers when the user requests tasks such as “making art with code, generative art, flow fields, particle systems”. The Skill emphasizes creating original algorithmic art rather than copying works of existing artists to avoid copyright risks.

Unlike most Skills that “write business code”, algorithmic-art shows another possibility of Agent Skills: packaging domain methodology (generative aesthetics + engineering specifications) into an executable workflow for Agents, not just completing a few lines of functions.

Core Features and Highlights¶

According to the official SKILL.md, the workflow of this Skill is divided into two stages:

1. Algorithmic Philosophy¶

The Agent first outputs a 4-6 paragraph “algorithmic philosophy” document (.md), which is equivalent to a manifesto of the generative art movement: naming the aesthetic movement, elaborating the calculation process, noise and randomness, particles/fields/forces, parametric changes and controlled chaos, etc. The philosophy emphasizes that process is more important than finished product —— beauty comes from algorithm execution, not static frames.

The Skill also includes a “Conceptual Seed” step: extracting a subtle conceptual clue from the user’s original requirements, embedding it into parameters and behaviors, so that readers familiar with the theme can perceive it vaguely without literal expression.

2. p5.js Interactive Finished Product (HTML Artifact)¶

After the philosophy is confirmed, the Agent implements the algorithm based on the bundled templates/viewer.html template, and outputs a single-file, self-contained HTML: inline styles and scripts, p5.js is loaded from a CDN, and it can be opened directly in a browser or Claude Artifacts.

Technical requirements (explicitly specified by the official):

Seeded Randomness: Follow the Art Blocks-style reproducible pattern, using randomSeed(seed) and noiseSeed(seed), the same seed must produce the same image.
Parameter Object: The params object contains the seed and adjustable items corresponding to the algorithmic philosophy (quantity, scale, probability, ratio, angle, threshold, etc.).
Fixed UI Skeleton: Keep Anthropic’s brand colors, Poppins/Lora fonts, and sidebar layout; the Seed section (display, Prev/Next, Random, Jump) and Actions section (Regenerate, Reset, Download PNG) cannot be modified.
Variable Parts: p5.js algorithm, Parameters sliders/color pickers, and optional Colors section —— each work should have its own parameter set and algorithm logic.
Canvas: Typically createCanvas(1200, 1200), can be static (noLoop()) or animated.

The Skill directory also includes templates/generator_template.js for reference on parameter organization and seeded randomness writing; the final algorithm should be inlined into the HTML instead of a separate .js file.

Installation and Activation¶

A Skill is a folder (containing SKILL.md and templates/, etc.), it needs to be installed as a whole, and you cannot just copy a single Markdown file.

Cursor¶

Cursor scans paths such as .cursor/skills/, ~/.cursor/skills/ when starting up. Just copy the official directory to the project:

# Execute in the project root directory
git clone --depth 1 https://github.com/anthropics/skills.git /tmp/anthropics-skills
mkdir -p .cursor/skills
cp -r /tmp/anthropics-skills/skills/algorithmic-art .cursor/skills/

The folder name should match the name field of the Skill (algorithmic-art). After restarting Cursor or reopening the project, the Agent will automatically match relevant tasks based on the description; you can also explicitly mention this Skill in the conversation.

You can also reference the GitHub repository via Cursor Customize → Rules → Add Rule → Remote Rule (Github), please refer to the Cursor Skills documentation for details.

Claude Code¶

The official README states that you can install the example Skill set through the Plugin marketplace:

/plugin marketplace add anthropics/skills
/plugin install example-skills@anthropic-agent-skills

algorithmic-art is a creative/design example in the repository. After installing the example-skills plugin, you can mention and use it in the conversation.

Claude.ai¶

The official note: the example Skills in this repository are now available to Claude.ai paid plan users; see Using skills in Claude for how to upload and enable custom Skills.

Other Tools¶

Agent Skills have been released as an open standard (see Anthropic’s engineering article and agentskills.io). If Codex CLI, Claude Agent SDK, etc. support .agents/skills/ or equivalent directories, you can put the same folder into the corresponding path; please refer to their respective official documents for details of each tool.

Typical Usage Examples¶

After installation and activation, you can describe your aesthetic goals in natural language without writing p5.js boilerplate code manually. The trigger scenarios in the official description include: generative art, algorithmic art, flow fields, particle systems, etc.

Example Prompts:

Use the algorithmic-art style to create a generative art with the theme of "organic turbulence":
multi-layer Perlin noise flow field + particle trails, seed can be switched, the sidebar can adjust the number of particles and noise scale.

Help me write an algorithmic philosophy and implement it into an interactive HTML: the theme is "random processes crystallize into ordered structures",
refer to Voronoi/circle packing relaxation algorithm, and support quick browsing variants with seed 1–100.

The Agent usually produces in sequence according to the Skill instructions:

Algorith philosophy Markdown (naming the movement + 4-6 paragraphs of exposition);
Single-file HTML based on templates/viewer.html (including p5.js algorithm and parameter UI).

Core code pattern related to seeds and parameters (extracted from the official SKILL.md):

let params = {
  seed: 12345,
  // Add: particleCount, noiseScale, flowSpeed, etc. according to the algorithmic philosophy
};

function initializeSystem() {
  randomSeed(params.seed);
  noiseSeed(params.seed);
  // Rebuild particles/fields and redraw
}

After opening the HTML, you can use Prev/Next/Random/Jump to explore the seed space, adjust parameters in real time with sliders, Reset to restore defaults, and Download to export PNG.

Applicable Scenarios and Notes¶

Who and what scenarios it is suitable for:

Want to quickly verify generative art ideas without building p5.js + control UI from scratch every time;
Teaching or sharing: need reproducible seed and adjustable parameters demo works;
Exploring the use of Agent Skills in “creativity/design” rather than just “CRUD/testing”;
As a reference for writing custom Skills —— especially the structure of “main document + template resources + progressive loading”.

Restrictions and Notes:

The official README states: the repository Skills are for demonstration and education only, Claude’s actual behavior may not fully match the Skill text, and you need to fully test it yourself for key uses.
Only install Skills from trusted sources; algorithmic-art will guide the Agent to read local templates and generate HTML, it is recommended to browse the contents of SKILL.md and templates/ before use.
The Skill requires modifying the UI based on the template, do not write HTML from scratch or change the fixed Seed/Actions sections, otherwise it will not conform to the specifications.
The output emphasizes original generative algorithms; do not use it to imitate recognizable styles of specific artists to avoid copyright disputes.
Pay attention to performance for large animations; the Skill requires that complex but non-noisy content remains smooth in real time.

Summary¶

algorithmic-art packages “algorithmic aesthetic manifesto + p5.js engineering specifications + interactive viewer template” into an Agent Skill, allowing AI programming assistants to stably produce explorative and reproducible generative art works. It is suitable as an introductory example, and also as a structural template for your own “design Skills”.

Official address: https://github.com/anthropics/skills/tree/main/skills/algorithmic-art

For more information on Agent Skills design philosophy, please refer to Anthropic’s engineering article: Equipping agents for the real world with Agent Skills.

### 正式译法（符合技术文章标题规范）： # Algorithmic Art: Integrate p5.js Algorithmic Art into AI Programming Assistants with Agent Skill