Canonical manifest schema
plugin.json targets the official 1.0.0 schema.
Agent Plugins specification 搂5.2
Algorithmic Art Agent Plugin
Create original algorithmic art with p5.js through a deliberate computational philosophy, seeded randomness, emergent systems, and interactive parameter controls.
0 repository stars Apache-2.0 Updated Aug 8, 2026
Reviewed seed
emergent
by algorithm.
Seeded systems, controlled chaos, and deliberate interaction instead of decorative randomness.
Copy the complete Algorithmic Art package
Sparse-clone this plugin directory, inspect the manifest and Skill, then load the resulting plugin root with a compatible Agent Plugins client.
Installation
Install Plugin
Choose Codex or Copilot, click Copy, paste the two lines into a terminal, and press Enter.The installation commands are identical on Windows, macOS, and Linux.
codex plugin marketplace add agentplugin-net/portable-agent-plugins
codex plugin add algorithmic-art@agentplugin-netExplainable standards check
Conforms to Agent Plugins 1.0.0
Official latest version: 1.0.0 (Published). The value is read from the official specification and cached for one day.
This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.
Required name and naming rules
The plugin name 鈥?{name}鈥?satisfies the 1鈥?4 character naming rules.
Agent Plugins specification 搂搂5.3 and 5.5
Closed top-level schema
No unknown top-level manifest fields were found.
Agent Plugins specification 搂5.2
Manifest field types
All present metadata and extension fields use permitted JSON types.
Agent Plugins specification 搂搂5.2鈥?.6
Root plugin.json file
A regular plugin.json file exists at the plugin root.
Agent Plugins specification 搂搂4.1 and 5.1
Agent Skills discovery and format
1 immediate-child Agent Skill discovered; every SKILL.md passed required frontmatter and naming checks.
Agent Plugins specification 搂7.1 and Agent Skills specification
MCP configuration
No root mcp.json is present; MCP is optional and its absence is conforming.
Agent Plugins specification 搂搂6.2 and 7.2
Capabilities
What can you do with Algorithmic Art?
Turn a computational idea into an original visual system.
Use this plugin when the goal is generative or algorithmic art built from code, not a static imitation of an existing artist.
- Define a distinct computational art philosophy.
- Use seeded randomness for reproducible variations.
- Build particles, fields, forces, and emergent behavior.
- Expose useful parameters for interactive exploration.
- Produce original p5.js work and avoid style copying.
Design the system first
Art direction starts with process, relationships, motion, and emergence before implementation details.
Make variation inspectable
Seeds and controls let users reproduce, compare, and tune outcomes instead of depending on opaque randomness.
Practical workflow
From computational philosophy to interactive sketch
Pass 01 / Frame
Define the generative idea
Choose the system, relationships, motion language, palette, and controlled sources of variation.
Pass 02 / Build
Implement and explore
Create the p5.js sketch, expose essential controls, test seeds, and refine composition and performance.
Package contents
What is included in Algorithmic Art?
Algorithmic Art declares 1 Skill, 0 MCP configurations, and 2 additional resources. The included-file links below point to the reviewed source repository.
Agent Skills
1
algorithmic-art
MCP servers
0
No runtime service
Package format
Agent Plugins
Official latest 1.0.0
Synced source content
Repository README
This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.
This repository does not currently provide a README snapshot. The plugin instructions below remain available.
Source documentation
Algorithmic Art workflow
Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.
What this plugin does
Algorithmic Art guides an agent from a computational art philosophy to an original p5.js sketch built with seeded randomness, noise, particles, fields, forces, and interactive parameters.
Practical workflow
Define the generative system before writing code. Choose what evolves, which relationships create form, how variation is controlled, and which parameters help a viewer explore the result. Implement the sketch, test multiple seeds, and refine composition and performance.
Safety and authorship
Create original work. Do not imitate the identifiable style of a living artist. Review all JavaScript and external assets before execution and keep randomness reproducible when comparing outputs.
Source
This portable package is maintained in agentplugin-net/portable-agent-plugins from a pinned Apache-2.0 upstream Skill.
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