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
26%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/antigravity-algorithmic-art/SKILL.mdQuality
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. The jargon-heavy language would make it very difficult for Claude to know when to select this skill, and users are unlikely to use matching terminology. 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', 'procedural generation', 'algorithmic art', or 'computational aesthetics'.
Replace abstract language like 'computational aesthetic movements expressed through code' with concrete actions such as 'Generates interactive generative art pieces, creates philosophy documents describing aesthetic algorithms, and produces JavaScript-based visual generators'.
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 interactive creative coding projects'.
| Dimension | Reasoning | Score |
|---|---|---|
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 a 'when' clause or any explicit trigger guidance for when Claude should select this skill. The missing 'Use when...' clause caps this at 2 per the rubric, and the 'what' is also weak, so it scores 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 as computational aesthetic movements' is unusual enough to avoid most conflicts, but the output types (.md, .html, .js) are extremely generic and could overlap with many other skills involving web development or documentation. | 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, restating key points (template usage, craftsmanship emphasis, self-contained artifacts) many times over. While the two-phase workflow is logical and some code examples are provided, the core creative algorithm implementation remains abstract, and there are no validation steps for the generated artifacts. The content would benefit enormously from aggressive trimming and splitting detailed reference material into separate files.
Suggestions
Reduce content by at least 60%: eliminate repeated instructions (e.g., 'read the template first' appears 4+ times), remove philosophy examples beyond 1-2, and cut explanations of concepts Claude already knows (CDNs, p5.js basics, what sliders are).
Move the philosophy examples, HTML structure details, and sidebar specifications into separate reference files, keeping SKILL.md as a concise overview with clear pointers.
Add explicit validation checkpoints: after generating the HTML artifact, include steps to verify it loads correctly, that seed navigation works, and that parameters actually affect the output.
Replace placeholder code snippets (e.g., '// Your generative algorithm') with at least one complete, minimal but executable example that demonstrates the full pipeline from philosophy to working artifact.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~300+ lines. Repeats the same concepts multiple times (e.g., 'meticulously crafted' emphasis repeated, 'read the template first' stated 4+ times, 'self-contained HTML' reiterated constantly). Explains concepts Claude already knows (what p5.js setup/draw does, how CDNs work, what sliders are). The philosophy examples alone consume significant tokens while being largely redundant with each other. | 1 / 3 |
Actionability | Provides some concrete code snippets (seeded randomness, canvas setup, HTML structure) but most are incomplete scaffolding or pseudocode-level templates with placeholder comments like '// Your generative algorithm'. The actual creative algorithm implementation—the core of the skill—is left entirely abstract. The template reference (viewer.html) is concrete but the skill itself doesn't contain the template content. | 2 / 3 |
Workflow Clarity | The two-step workflow (philosophy creation → p5.js implementation) is clearly sequenced, and there's a logical progression. However, there are no validation checkpoints—no step to verify the HTML works, no check that the algorithm matches the philosophy, no error recovery guidance. For a skill producing complex HTML artifacts, missing validation caps this at 2. | 2 / 3 |
Progressive Disclosure | References external files (templates/viewer.html, templates/generator_template.js) which is good progressive disclosure, but the SKILL.md itself is a monolithic wall of text with massive inline content that could be split into separate reference files. The philosophy examples, HTML structure details, and sidebar specifications could all be in separate documents, keeping the main skill lean. | 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.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
431bfad
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.