algorithmic-art

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).

Quality

—

Does it follow best practices?

Impact

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No eval scenarios have been run

Securityby

Passed

No known issues

Quality

Content

27%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body lays out a clear creative workflow with usable HTML/JS scaffolding, but it is verbose and repetitive, lacks any verification step, and critically depends on template files that are not bundled. Tightening the repetition and shipping the referenced templates would substantially raise quality.

Suggestions

Consolidate the repeated 'read templates/viewer.html first' instructions into a single STEP 0 and remove the duplicated craftsmanship framing from multiple sections.

Either bundle templates/viewer.html and templates/generator_template.js or remove all references to them; instructing Claude to Read nonexistent files breaks the workflow.

Add an explicit validation checkpoint after artifact creation (e.g. open/verify the single HTML file runs in a browser before delivering) to close the workflow_clarity gap.

Dimension	Reasoning	Score
Conciseness	Heavily padded: craftsmanship framing ('meticulously crafted', 'master-level', 'countless iterations', 'top of their field') is repeated across the philosophy, craftsmanship, and essential-principles sections, and the 'read templates/viewer.html first' instruction is restated in STEP 0, INTERACTIVE ARTIFACT CREATION, and RESOURCES; basic p5.js setup is also explained.	1 / 3
Actionability	Provides executable scaffolding snippets (seed setup, params object, HTML skeleton, sidebar control-group markup) but the core algorithm guidance is abstract ('consider using', 'let the philosophy guide') and the repeatedly-cited template files are not actually bundled.	2 / 3
Workflow Clarity	The four-phase sequence (philosophy -> conceptual seed -> p5.js implementation -> interactive artifact) is clearly laid out, but there is no validation or verification checkpoint (e.g. confirm the HTML runs in a browser) even though the skill generates 100 seed variations.	2 / 3
Progressive Disclosure	The body is a ~400-line monolith with heavily repeated sections, and the references it calls REQUIRED ('templates/viewer.html', 'templates/generator_template.js') do not exist in the bundle, so Claude would be instructed to Read files that are absent.	1 / 3
	Total	6 / 12 Passed

Description

50%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description conveys the skill's outputs (philosophy .md, viewer .html, algorithm .js) but is jargon-heavy and lacks any 'Use when' trigger guidance. It is distinguishable as a niche yet weak on the natural terms a user would actually invoke.

Suggestions

Rewrite in third-person action verbs naming concrete actions: 'Generate algorithmic art manifestos and self-contained p5.js viewer artifacts.'

Add an explicit trigger clause, e.g. 'Use when the user asks for generative art, p5.js sketches, or computational/aesthetic code experiments.'

Replace jargon ('computational aesthetic movements') with the natural terms users say ('generative art', 'p5.js', 'interactive sketch').

Dimension	Reasoning	Score
Specificity	Names three concrete deliverables with file types ('Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms)') but uses weak verbs ('are...expressed', 'Output') rather than the multiple concrete action verbs that define a 3.	2 / 3
Completeness	States what the skill produces but has no 'Use when...' clause or equivalent explicit trigger guidance, so per the rubric completeness is capped at 2.	2 / 3
Trigger Term Quality	Leans on jargon a user would not naturally say ('computational aesthetic movements', 'algorithmic philosophies') and omits the obvious natural terms ('generative art', 'p5.js', 'sketch'); 'generative algorithms' is the only partly natural keyword.	2 / 3
Distinctiveness Conflict Risk	The generative-art domain is a genuine niche, but the abstract phrasing provides no distinct triggers, leaving moderate overlap risk with other creative-output skills.	2 / 3
	Total	8 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: boisenoise/skills-collections
Commit: f36337d

Reviewed: 2 days ago

Table of Contents

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