algorithmic-art▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
This happens in two steps:
- Algorithmic Philosophy Creation (.md file)
- Express by creating p5.js generative art (.html + .js files)
First, undertake this task:
ALGORITHMIC PHILOSOPHY CREATION
To begin, create an ALGORITHMIC PHILOSOPHY (not static images or templates) that will be interpreted through:
- Computational processes, emergent behavior, mathematical beauty
- Seeded randomness, noise fields, organic systems
- Particles, flows, fields, forces
- Parametric variation and controlled chaos
THE CRITICAL UNDERSTANDING
- What is received: Some subtle input or instructions by the user to take into account, but use as a foundation; it should not constrain creative freedom.
- What is created: An algorithmic philosophy/generative aesthetic movement.
- What happens next: The same version receives the philosophy and EXPRESSES IT IN CODE - creating p5.js sketches that are 90% algorithmic generation, 10% essential parameters.
Consider this approach:
- Write a manifesto for a generative art movement
- The next phase involves writing the algorithm that brings it to life
The philosophy must emphasize: Algorithmic expression. Emergent behavior. Computational beauty. Seeded variation.
HOW TO GENERATE AN ALGORITHMIC PHILOSOPHY
Name the movement (1-2 words): "Organic Turbulence" / "Quantum Harmonics" / "Emergent Stillness"
Articulate the philosophy (4-6 paragraphs - concise but complete):
To capture the ALGORITHMIC essence, express how this philosophy manifests through:
- Computational processes and mathematical relationships?
- Noise functions and randomness patterns?
- Particle behaviors and field dynamics?
- Temporal evolution and system states?
- Parametric variation and emergent complexity?
CRITICAL GUIDELINES:
- Avoid redundancy: Each algorithmic aspect should be mentioned once. Avoid repeating concepts about noise theory, particle dynamics, or mathematical principles unless adding new depth.
- Emphasize craftsmanship REPEATEDLY: The philosophy MUST stress multiple times that the final algorithm should appear as though it took countless hours to develop, was refined with care, and comes from someone at the absolute top of their field. This framing is essential - repeat phrases like "meticulously crafted algorithm," "the product of deep computational expertise," "painstaking optimization," "master-level implementation."
- Leave creative space: Be specific about the algorithmic direction, but concise enough that the next Claude has room to make interpretive implementation choices at an extremely high level of craftsmanship.
The philosophy must guide the next version to express ideas ALGORITHMICALLY, not through static images. Beauty lives in the process, not the final frame.
PHILOSOPHY EXAMPLES
"Organic Turbulence" Philosophy: Chaos constrained by natural law, order emerging from disorder. Algorithmic expression: Flow fields driven by layered Perlin noise. Thousands of particles following vector forces, their trails accumulating into organic density maps. Multiple noise octaves create turbulent regions and calm zones. Color emerges from velocity and density - fast particles burn bright, slow ones fade to shadow. The algorithm runs until equilibrium - a meticulously tuned balance where every parameter was refined through countless iterations by a master of computational aesthetics.
"Quantum Harmonics" Philosophy: Discrete entities exhibiting wave-like interference patterns. Algorithmic expression: Particles initialized on a grid, each carrying a phase value that evolves through sine waves. When particles are near, their phases interfere - constructive interference creates bright nodes, destructive creates voids. Simple harmonic motion generates complex emergent mandalas. The result of painstaking frequency calibration where every ratio was carefully chosen to produce resonant beauty.
"Recursive Whispers" Philosophy: Self-similarity across scales, infinite depth in finite space. Algorithmic expression: Branching structures that subdivide recursively. Each branch slightly randomized but constrained by golden ratios. L-systems or recursive subdivision generate tree-like forms that feel both mathematical and organic. Subtle noise perturbations break perfect symmetry. Line weights diminish with each recursion level. Every branching angle the product of deep mathematical exploration.
"Field Dynamics" Philosophy: Invisible forces made visible through their effects on matter. Algorithmic expression: Vector fields constructed from mathematical functions or noise. Particles born at edges, flowing along field lines, dying when they reach equilibrium or boundaries. Multiple fields can attract, repel, or rotate particles. The visualization shows only the traces - ghost-like evidence of invisible forces. A computational dance meticulously choreographed through force balance.
"Stochastic Crystallization" Philosophy: Random processes crystallizing into ordered structures. Algorithmic expression: Randomized circle packing or Voronoi tessellation. Start with random points, let them evolve through relaxation algorithms. Cells push apart until equilibrium. Color based on cell size, neighbor count, or distance from center. The organic tiling that emerges feels both random and inevitable. Every seed produces unique crystalline beauty - the mark of a master-level generative algorithm.
These are condensed examples. The actual algorithmic philosophy should be 4-6 substantial paragraphs.
ESSENTIAL PRINCIPLES
- ALGORITHMIC PHILOSOPHY: Creating a computational worldview to be expressed through code
- PROCESS OVER PRODUCT: Always emphasize that beauty emerges from the algorithm's execution - each run is unique
- PARAMETRIC EXPRESSION: Ideas communicate through mathematical relationships, forces, behaviors - not static composition
- ARTISTIC FREEDOM: The next Claude interprets the philosophy algorithmically - provide creative implementation room
- PURE GENERATIVE ART: This is about making LIVING ALGORITHMS, not static images with randomness
- EXPERT CRAFTSMANSHIP: Repeatedly emphasize the final algorithm must feel meticulously crafted, refined through countless iterations, the product of deep expertise by someone at the absolute top of their field in computational aesthetics
The algorithmic philosophy should be 4-6 paragraphs long. Fill it with poetic computational philosophy that brings together the intended vision. Avoid repeating the same points. Output this algorithmic philosophy as a .md file.
DEDUCING THE CONCEPTUAL SEED
CRITICAL STEP: Before implementing the algorithm, identify the subtle conceptual thread from the original request.
THE ESSENTIAL PRINCIPLE: The concept is a subtle, niche reference embedded within the algorithm itself - not always literal, always sophisticated. Someone familiar with the subject should feel it intuitively, while others simply experience a masterful generative composition. The algorithmic philosophy provides the computational language. The deduced concept provides the soul - the quiet conceptual DNA woven invisibly into parameters, behaviors, and emergence patterns.
This is VERY IMPORTANT: The reference must be so refined that it enhances the work's depth without announcing itself. Think like a jazz musician quoting another song through algorithmic harmony - only those who know will catch it, but everyone appreciates the generative beauty.
P5.JS IMPLEMENTATION
With the philosophy AND conceptual framework established, express it through code. Pause to gather thoughts before proceeding. Use only the algorithmic philosophy created and the instructions below.
⚠️ STEP 0: READ THE TEMPLATE FIRST ⚠️
CRITICAL: BEFORE writing any HTML:
- Read
templates/viewer.htmlusing the Read tool - Study the exact structure, styling, and Anthropic branding
- Use that file as the LITERAL STARTING POINT - not just inspiration
- Keep all FIXED sections exactly as shown (header, sidebar structure, Anthropic colors/fonts, seed controls, action buttons)
- Replace only the VARIABLE sections marked in the file's comments (algorithm, parameters, UI controls for parameters)
Avoid:
- ❌ Creating HTML from scratch
- ❌ Inventing custom styling or color schemes
- ❌ Using system fonts or dark themes
- ❌ Changing the sidebar structure
Follow these practices:
- ✅ Copy the template's exact HTML structure
- ✅ Keep Anthropic branding (Poppins/Lora fonts, light colors, gradient backdrop)
- ✅ Maintain the sidebar layout (Seed → Parameters → Colors? → Actions)
- ✅ Replace only the p5.js algorithm and parameter controls
The template is the foundation. Build on it, don't rebuild it.
To create gallery-quality computational art that lives and breathes, use the algorithmic philosophy as the foundation.
TECHNICAL REQUIREMENTS
Seeded Randomness (Art Blocks Pattern):
// ALWAYS use a seed for reproducibility
let seed = 12345; // or hash from user input
randomSeed(seed);
noiseSeed(seed);
Parameter Structure - FOLLOW THE PHILOSOPHY:
To establish parameters that emerge naturally from the algorithmic philosophy, consider: "What qualities of this system can be adjusted?"
let params = {
seed: 12345, // Always include seed for reproducibility
// colors
// Add parameters that control YOUR algorithm:
// - Quantities (how many?)
// - Scales (how big? how fast?)
// - Probabilities (how likely?)
// - Ratios (what proportions?)
// - Angles (what direction?)
// - Thresholds (when does behavior change?)
};
To design effective parameters, focus on the properties the system needs to be tunable rather than thinking in terms of "pattern types".
Core Algorithm - EXPRESS THE PHILOSOPHY:
CRITICAL: The algorithmic philosophy should dictate what to build.
To express the philosophy through code, avoid thinking "which pattern should I use?" and instead think "how to express this philosophy through code?"
If the philosophy is about organic emergence, consider using:
- Elements that accumulate or grow over time
- Random processes constrained by natural rules
- Feedback loops and interactions
If the philosophy is about mathematical beauty, consider using:
- Geometric relationships and ratios
- Trigonometric functions and harmonics
- Precise calculations creating unexpected patterns
If the philosophy is about controlled chaos, consider using:
- Random variation within strict boundaries
- Bifurcation and phase transitions
- Order emerging from disorder
The algorithm flows from the philosophy, not from a menu of options.
To guide the implementation, let the conceptual essence inform creative and original choices. Build something that expresses the vision for this particular request.
Canvas Setup: Standard p5.js structure:
function setup() {
createCanvas(1200, 1200);
// Initialize your system
}
function draw() {
// Your generative algorithm
// Can be static (noLoop) or animated
}
CRAFTSMANSHIP REQUIREMENTS
CRITICAL: To achieve mastery, create algorithms that feel like they emerged through countless iterations by a master generative artist. Tune every parameter carefully. Ensure every pattern emerges with purpose. This is NOT random noise - this is CONTROLLED CHAOS refined through deep expertise.
- Balance: Complexity without visual noise, order without rigidity
- Color Harmony: Thoughtful palettes, not random RGB values
- Composition: Even in randomness, maintain visual hierarchy and flow
- Performance: Smooth execution, optimized for real-time if animated
- Reproducibility: Same seed ALWAYS produces identical output
OUTPUT FORMAT
Output:
- Algorithmic Philosophy - As markdown or text explaining the generative aesthetic
- Single HTML Artifact - Self-contained interactive generative art built from
templates/viewer.html(see STEP 0 and next section)
The HTML artifact contains everything: p5.js (from CDN), the algorithm, parameter controls, and UI - all in one file that works immediately in claude.ai artifacts or any browser. Start from the template file, not from scratch.
INTERACTIVE ARTIFACT CREATION
REMINDER: templates/viewer.html should have already been read (see STEP 0). Use that file as the starting point.
To allow exploration of the generative art, create a single, self-contained HTML artifact. Ensure this artifact works immediately in claude.ai or any browser - no setup required. Embed everything inline.
CRITICAL: WHAT'S FIXED VS VARIABLE
The templates/viewer.html file is the foundation. It contains the exact structure and styling needed.
FIXED (always include exactly as shown):
- Layout structure (header, sidebar, main canvas area)
- Anthropic branding (UI colors, fonts, gradients)
- Seed section in sidebar:
- Seed display
- Previous/Next buttons
- Random button
- Jump to seed input + Go button
- Actions section in sidebar:
- Regenerate button
- Reset button
VARIABLE (customize for each artwork):
- The entire p5.js algorithm (setup/draw/classes)
- The parameters object (define what the art needs)
- The Parameters section in sidebar:
- Number of parameter controls
- Parameter names
- Min/max/step values for sliders
- Control types (sliders, inputs, etc.)
- Colors section (optional):
- Some art needs color pickers
- Some art might use fixed colors
- Some art might be monochrome (no color controls needed)
- Decide based on the art's needs
Every artwork should have unique parameters and algorithm! The fixed parts provide consistent UX - everything else expresses the unique vision.
REQUIRED FEATURES
1. Parameter Controls
- Sliders for numeric parameters (particle count, noise scale, speed, etc.)
- Color pickers for palette colors
- Real-time updates when parameters change
- Reset button to restore defaults
2. Seed Navigation
- Display current seed number
- "Previous" and "Next" buttons to cycle through seeds
- "Random" button for random seed
- Input field to jump to specific seed
- Generate 100 variations when requested (seeds 1-100)
3. Single Artifact Structure
<!DOCTYPE html>
<html>
<head>
<!-- p5.js from CDN - always available -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script>
<style>
/* All styling inline - clean, minimal */
/* Canvas on top, controls below */
</style>
</head>
<body>
<div id="canvas-container"></div>
<div id="controls">
<!-- All parameter controls -->
</div>
<script>
// ALL p5.js code inline here
// Parameter objecHow to use algorithmic-art on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add algorithmic-art
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches algorithmic-art from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate algorithmic-art. Access the skill through slash commands (e.g., /algorithmic-art) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★41 reviews- ★★★★★Anaya Ndlovu· Dec 20, 2024
I recommend algorithmic-art for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★James Perez· Dec 16, 2024
algorithmic-art fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hassan Okafor· Dec 12, 2024
algorithmic-art is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Anaya Thompson· Dec 4, 2024
algorithmic-art reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mei Choi· Nov 7, 2024
Registry listing for algorithmic-art matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hassan Srinivasan· Nov 3, 2024
Solid pick for teams standardizing on skills: algorithmic-art is focused, and the summary matches what you get after install.
- ★★★★★Anaya Lopez· Oct 26, 2024
algorithmic-art reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anika Farah· Oct 22, 2024
algorithmic-art has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anika Nasser· Sep 25, 2024
Solid pick for teams standardizing on skills: algorithmic-art is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Sep 1, 2024
algorithmic-art is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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