Generative art

SkillWeb & browsing

Design reproducible, interactive generative-art studies as self-contained browser artifacts or workspace assets.

Available today. Use it from your connected AI after setup.

No other account needed.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Generative art skill

What this skill tells your AI

The instructions your AI receives, as published by xopcai/xopc in skills/creative/algorithmic-art/SKILL.md and read by ahel’s review.

Use this skill when the user asks for algorithmic or generative visual work. Build an expressive system, not a static image with random decoration.

Extract a compact conceptual seed from the brief: mood, reference, material, motion, or tension.
Describe the system in plain language: its rules, forces, palette logic, and source of variation.
Implement a reproducible artifact with a visible seed and a small set of meaningful parameters.
Make the controls change the system's behaviour, not just cosmetic values.
Inspect several seeds and tune density, contrast, performance, and composition before delivery.

Prefer a self-contained HTML artifact for interactive work. It may load a stable public rendering library when necessary, but all artwork logic and controls belong in the artifact.
Keep the interface neutral and xopc-branded; do not reproduce another product's styling or marks.
Include seed navigation, reset, regeneration, and export when creating an interactive browser piece.
Use seeded pseudo-randomness so the same seed and parameters produce the same result.
Respect the user's visual references without claiming an artist's identity or copying protected work.

templates/viewer.html: a neutral, self-contained starting point with seed and export controls.
templates/generator-template.js: a compact seeded-system scaffold.

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