algorithmic-art SKILL.md skillB

algorithmic-art from canvascoding/canvas-notebook is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add canvascoding/canvas-notebook/algorithmic-art@git:20260616.e235e49

Pins git:20260616.e235e49 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
canvascoding/canvas-notebook
Path
seed_skills/algorithmic-art/SKILL.md
Versions recorded
3
Latest version
git:20260616.e235e49, committed Jun 16, 2026
First version recorded
May 1, 2026
Size
19,756 bytes
Repository stars
12
License
a license file GitHub does not identify

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

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:
1. Algorithmic Philosophy Creation (.md file)
2. 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:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add canvascoding/canvas-notebook/algorithmic-art@sha256:64c781059bd53c45

The line at the top of this page pins the label git:20260616.e235e49, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5f6abtxpz6uya2fd.svg)](https://markdownregistry.com/a/art_5f6abtxpz6uya2fd)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between May 1, 2026 and Jun 16, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
git:20260616.e235e49 latest2026-06-16 e235e49 19,756 BB view · diff
git:20260501.abb03372026-05-01 abb0337 19,769 BB view · diff
v1.02026-05-01 bf77655 19,848 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19756 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

canvascoding/canvas-notebook · 12 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5f6abtxpz6uya2fd
GET https://markdownregistry.com/api/v1/resolve?ref=canvascoding/canvas-notebook/algorithmic-art
GET https://markdownregistry.com/api/v1/blob/64c781059bd53c45d21b8b962eda825cd17ad6073606f33e54da3fdd17556b9e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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