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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).

29

Quality

22%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

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

Quality

Content

27%

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

This skill is excessively verbose, repeating key concepts (template usage, craftsmanship emphasis, algorithmic philosophy definition) multiple times throughout. While the creative vision is interesting, the document fails to respect token efficiency and buries actionable guidance under layers of repetitive instruction. The referenced template files are missing from the bundle, undermining the workflow's foundation.

Suggestions

Reduce content by at least 60% - eliminate repeated instructions about template usage (stated 4+ times), remove the 'craftsmanship' emphasis repetitions, and cut the philosophy examples to 2 concise ones instead of 5.

Provide the referenced templates/viewer.html and templates/generator_template.js in the bundle, or inline the essential template structure directly in the skill.

Add explicit validation checkpoints: verify HTML renders correctly, check that seed navigation works, confirm all parameter controls update the canvas.

Split into SKILL.md (overview + workflow steps) with separate reference files for philosophy examples, implementation patterns, and UI specifications to improve progressive disclosure.

DimensionReasoningScore

Conciseness

Extremely verbose at ~400+ lines. Repeats the same concepts multiple times (e.g., 'meticulously crafted' emphasis repeated across sections, the template usage instructions are stated at least 4 times, 'algorithmic philosophy' concept is re-explained throughout). Explains concepts Claude already knows (what p5.js is, how parameters work, basic canvas setup). The philosophy examples alone consume significant tokens while being somewhat redundant with each other.

1 / 3

Actionability

Provides some concrete code snippets (seeded randomness, canvas setup, control group HTML) but most are incomplete fragments or pseudocode-level templates rather than executable examples. The actual algorithm implementation guidance is abstract ('if the philosophy is about organic emergence, consider using...') rather than providing concrete, copy-paste-ready patterns. The workflow relies heavily on a template file that isn't provided in the bundle.

2 / 3

Workflow Clarity

The two-step process (philosophy creation → p5.js implementation) is clearly sequenced, and Step 0 (read template) is called out. However, there are no validation checkpoints - no step to verify the HTML works, no error recovery for broken artifacts, no checklist for ensuring all required features are present. The workflow also has confusing references to 'the next Claude' suggesting a multi-turn handoff that isn't clearly structured.

2 / 3

Progressive Disclosure

The content is a monolithic wall of text with no meaningful separation into files. It references templates/viewer.html and templates/generator_template.js but neither is provided in the bundle, making those references unverifiable. The SKILL.md itself contains everything inline - philosophy examples, implementation details, UI specifications, creative process - when much of this could be split into referenced files. The document is overwhelming to parse.

1 / 3

Total

6

/

12

Passed

Description

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 uses abstract, jargon-heavy language ('computational aesthetic movements') that fails to communicate concrete actions or provide natural trigger terms users would employ. It lacks any explicit 'Use when...' guidance, making it difficult for Claude to know when to select this skill. The output file types listed are too generic to serve as distinguishing features.

Suggestions

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

Replace abstract language like 'computational aesthetic movements expressed through code' with concrete actions such as 'Generates generative art algorithms, creates interactive visual viewers, and writes philosophical documentation for code-based aesthetic systems'.

Include specific examples of what the skill produces to improve distinctiveness, e.g., 'particle systems, fractal renderers, cellular automata visualizations'.

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 clearly describe what concrete operations are performed (e.g., generate, render, 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. There is no 'Use when...' or equivalent, which per the rubric caps completeness at 2, and the 'what' is also weak enough to warrant 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', 'algorithmic art', or 'procedural generation' that users might actually use.

1 / 3

Distinctiveness Conflict Risk

The concept of 'algorithmic philosophies' is unusual enough to be somewhat distinctive, but the output types (.md, .html, .js) are extremely generic and could overlap with many other skills. The domain is niche but poorly defined, creating ambiguity about when to select it.

2 / 3

Total

6

/

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
sickn33/antigravity-awesome-skills
Reviewed

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