Algorithmic Art Generation
Algorithmic Art Generation is a Graphics, 3D & shaders skill for AI agents, published by lifangda in the claude-plugins repository on GitHub. Skillspace rates Algorithmic Art Generation D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Create algorithmic art using p5.js with seeded randomness, flow fields, and particle systems. Use when you need to generate generative art, create computational aesthetics, or build interactive artistic visualizations. Automatically activates when discussing: "generative art", "algorithmic art", "p5.js visualization", "computational aesthetics".
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 43
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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