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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).

40

Quality

26%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/antigravity-algorithmic-art/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

17%

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 introduces a novel but poorly defined concept ('algorithmic philosophies') without explaining concrete actions or providing trigger guidance. It lacks a 'Use when...' clause, uses jargon unlikely to match user queries, and the vague framing makes it difficult for Claude to know when to select this skill over others.

Suggestions

Add an explicit 'Use when...' clause with natural trigger terms like 'generative art', 'creative coding', 'procedural generation', 'algorithmic art', or 'code-based aesthetics'.

Replace abstract language like 'computational aesthetic movements expressed through code' with concrete actions such as 'Generates philosophy documents, interactive HTML viewers, and JavaScript-based generative art algorithms'.

Include example user requests or scenarios that would trigger this skill, e.g., 'Use when the user asks to create generative art, algorithmic visualizations, or code-driven aesthetic explorations'.

DimensionReasoningScore

Specificity

The description names the domain ('algorithmic philosophies', 'computational aesthetic movements') and lists output file types (.md, .html, .js), but the actual actions are vague—'expressed through code' doesn't specify concrete operations like 'generate', 'render', or 'animate'.

2 / 3

Completeness

The description partially addresses 'what' (output file types and vague domain) but completely lacks any 'when' clause or explicit trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and the 'what' is also weak, so this scores a 1.

1 / 3

Trigger Term Quality

The terms 'algorithmic philosophies' and 'computational aesthetic movements' are highly specialized jargon that users would almost never naturally say. There are no common trigger terms like 'generative art', 'creative coding', 'procedural generation', or 'algorithmic art' that users might actually use.

1 / 3

Distinctiveness Conflict Risk

The niche concept of 'algorithmic philosophies' is unusual enough to avoid many conflicts, but the output types (.md, .html, .js) are extremely generic and could overlap with numerous other skills. The domain is distinctive but poorly bounded.

2 / 3

Total

6

/

12

Passed

Implementation

35%

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

This skill is extremely verbose and repetitive, spending significant tokens on restating the same concepts (algorithmic philosophy, craftsmanship emphasis, template usage) multiple times across sections. While the two-phase workflow is clear and some code snippets are provided, much of the guidance is abstract/philosophical rather than concretely actionable. The content would benefit enormously from being condensed to ~30% of its current length and splitting detailed reference material into separate files.

Suggestions

Reduce content by at least 60% - eliminate repeated instructions about using the template, repeated emphasis on craftsmanship, and redundant philosophy examples. State each concept once clearly.

Move the philosophy examples and HTML structure details into separate reference files (e.g., examples/philosophies.md, docs/html-structure.md) and link to them from a concise overview.

Add explicit validation checkpoints: verify template was read successfully, test HTML renders in browser, confirm seed reproducibility produces identical output.

Remove explanations of basic concepts Claude already knows (what p5.js setup/draw does, what HTML structure looks like, what parameters are) and focus only on project-specific conventions and constraints.

DimensionReasoningScore

Conciseness

Extremely verbose at ~300+ lines. Repeats the same concepts multiple times (e.g., 'algorithmic philosophy' concept restated dozens of times, craftsmanship emphasis repeated explicitly and meta-instructed to be repeated, template usage instructions repeated across multiple sections). Explains concepts Claude already understands like what p5.js setup/draw does, what parameters are, and basic HTML structure.

1 / 3

Actionability

Provides some concrete code snippets (seeded randomness, canvas setup, control-group HTML) but much of the guidance is abstract and philosophical rather than executable. The code examples are fragments/templates rather than complete working implementations. The actual algorithm creation is left entirely open-ended with vague guidance like 'let the philosophy guide the implementation.'

2 / 3

Workflow Clarity

The two-step workflow (philosophy creation → p5.js implementation) is clearly sequenced, and Step 0 (read template) is emphasized. However, there are no validation checkpoints - no step to verify the HTML works, no validation that the algorithm matches the philosophy, no error recovery for common issues like CDN failures or canvas rendering problems.

2 / 3

Progressive Disclosure

References external files (templates/viewer.html, templates/generator_template.js) appropriately, but the SKILL.md itself is a monolithic wall of text that inlines enormous amounts of detail that could be split into separate reference files. The philosophy examples, HTML structure details, and implementation guidelines could each be their own referenced documents.

2 / 3

Total

7

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
boisenoise/skills-collections
Reviewed

Table of Contents

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