generative-art
Create generative art with seeded randomness
Generative art creation requires artistic vision and technical skill. This skill helps you create unique, reproducible generative art using p5.js with parameter controls for exploration. You can create flow fields, recursive patterns, particle systems, and more.
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In Claude hochladen
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Teste es
Verwendung von "generative-art". Create a particle flow field with organic movement
Erwartetes Ergebnis:
- Generates an interactive HTML artifact with 5000 particles following noise-driven flow fields
- Particles leave trails creating organic density patterns
- Adjustable parameters include particle count, noise scale, flow speed, and trail opacity
- Seed navigation allows exploration of different variations
- Colors can be customized using palette pickers
Verwendung von "generative-art". Design a recursive tree with golden ratio proportions
Erwartetes Ergebnis:
- Creates a branching structure with recursive subdivision
- Each branch follows golden ratio proportions with slight randomization
- Line weights diminish with each recursion level
- Color palette applies to branches with subtle variation
- Seed control enables exploration of different tree variations
Verwendung von "generative-art". Build a circle packing visualization with relaxation
Erwartetes Ergebnis:
- Generates randomized circles that pack without overlap
- Relaxation algorithm refines positions over multiple iterations
- Color based on circle size and position
- Adjustable density and radius parameters
- Download individual variations as PNG files
Sicherheitsaudit
SicherThis is a legitimate generative art skill with zero security risks. All 61 static findings are false positives caused by pattern matching without semantic context. The skill creates browser-based p5.js artifacts using seeded randomness for reproducible art generation. No server-side code, file system access, or command execution capabilities exist.
Risikofaktoren
⚙️ Externe Befehle (20)
🌐 Netzwerkzugriff (6)
⚡ Enthält Skripte (1)
Qualitätsbewertung
Was du bauen kannst
Create unique generative pieces
Generate one-of-a-kind algorithmic art with full control over parameters and seeds for reproducibility.
Explore algorithmic aesthetics
Experiment with flow fields, particle systems, and recursive patterns for creative coding projects.
Demonstrate generative concepts
Show students how algorithmic processes create visual art with interactive parameter exploration.
Probiere diese Prompts
Create a flow field generative art piece with 5000 particles, subtle noise-based movement, and a warm color palette including orange and earth tones.
Generate recursive branching structures inspired by natural growth patterns. Use golden ratios, varied line weights, and a cool blue color palette.
Create circle packing or Voronoi tessellation generative art. Include adjustable density and relaxation parameters with earth tone colors.
Create an original generative art piece based on this concept: [describe your concept]. First write an algorithmic philosophy document, then implement it with appropriate parameters.
Bewährte Verfahren
- Use specific seed values to reproduce your favorite variations
- Adjust one parameter at a time to understand how each affects the output
- Start with conservative parameter values and gradually experiment
Vermeiden
- Using excessively high particle counts may slow down the browser
- Avoid very high noise scale values which can create chaotic patterns
- Do not expect the same output from different seeds - each seed creates unique art
Häufig gestellte Fragen
What AI tools support this skill?
Can I use my own colors?
How do I save my favorite variations?
Is my data safe with this skill?
Why does changing the seed create different art?
How is this different from static image generation?
Entwicklerdetails
Autor
Cam10001110101Lizenz
MIT
Repository
https://github.com/Cam10001110101/claude-skills-base/tree/main/mnt/skills/examples/generative-artRef
main
Dateistruktur