algorithmic-art
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.
65
57%
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 ./.agent/skills/algorithmic-art/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-crafted skill description that excels across all dimensions. It provides specific capabilities (p5.js, seeded randomness, flow fields, particle systems), includes natural trigger terms users would actually say, has an explicit 'Use this when' clause, and carves out a distinct niche. The addition of the copyright guidance is a thoughtful constraint that doesn't detract from the core description.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and techniques: 'algorithmic art using p5.js', 'seeded randomness', 'interactive parameter exploration', 'flow fields', 'particle systems'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration') and when ('Use this when users request creating art using code, generative art...'). Includes explicit 'Use this when' clause with trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'art using code', 'generative art', 'algorithmic art', 'flow fields', 'particle systems', and 'p5.js'. Good coverage of both technical and casual terms. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on p5.js generative/algorithmic art with specific techniques like flow fields and particle systems. The combination of p5.js, seeded randomness, and generative art creates a distinct trigger profile unlikely to conflict with general coding or art skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
14%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill content functions primarily as a table of contents with minimal actionable guidance in the main file. It lacks any concrete code examples, clear workflow sequencing, or logical organization of its 11 sub-skill references. The content assumes all value is in external files while providing insufficient context to navigate them effectively.
Suggestions
Add a concrete, executable p5.js code example in the main skill showing a minimal generative art piece with seeded randomness
Reorganize the 11 sub-skills into logical groups (e.g., 'Philosophy Creation' vs 'Technical Implementation') with clear indication of reading order
Include a clear numbered workflow with validation checkpoints (e.g., '1. Create philosophy → 2. Review against principles → 3. Implement in p5.js → 4. Test interactivity')
Move 'STEP 0: READ THE TEMPLATE FIRST' to actually be first if it's a prerequisite, and clarify which sub-skills are required vs reference material
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is relatively brief but includes some unnecessary framing ('Algorithmic philosophies are computational aesthetic movements') and emoji decorations that don't add value. The numbered list of 11 sub-skills could be more efficiently organized. | 2 / 3 |
Actionability | The skill provides no concrete code, commands, or executable examples. It describes a two-step process abstractly but delegates all actual implementation details to 11 external files, leaving the main skill with no actionable content. | 1 / 3 |
Workflow Clarity | While it mentions a two-step process, the actual workflow is completely unclear. There's no sequence for the 11 sub-skills, no indication of which are required vs optional, and no validation checkpoints for the creative/technical process. | 1 / 3 |
Progressive Disclosure | References 11 external files with no clear organization or hierarchy. The sub-skills are numbered but the ordering logic is unclear (e.g., 'STEP 0' is item #5). This creates a confusing navigation structure rather than clear progressive disclosure. | 1 / 3 |
Total | 5 / 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 | |
- Repository
- Dokhacgiakhoa/antigravity-ide
- Commit
332e58b
- Reviewed
Table of Contents
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