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.
Install with Tessl CLI
npx tessl i github:Dokhacgiakhoa/antigravity-ide --skill algorithmic-artOverall
score
62%
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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 strong skill description that clearly defines its purpose (algorithmic art with p5.js), includes explicit trigger guidance with natural user terms, and establishes a distinct niche. The inclusion of specific techniques (flow fields, particle systems) and the copyright constraint adds valuable context for skill selection.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration.' Mentions specific techniques like flow fields and particle systems. | 3 / 3 |
Completeness | Clearly answers both what (creating algorithmic art with p5.js, seeded randomness, interactive parameters) AND when (explicit 'Use this when...' clause with multiple trigger scenarios). Also includes a constraint about avoiding copyright violations. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'art using code', 'generative art', 'algorithmic art', 'flow fields', 'particle systems'. These are terms users would naturally use when requesting this type of work. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche with distinct triggers: specifically p5.js, algorithmic/generative art, flow fields, particle systems. Unlikely to conflict with general coding skills or other art-related skills due to the specific technical domain. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
22%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill functions primarily as a table of contents pointing to 11 sub-skill files without providing any standalone actionable content. The main file lacks executable code examples, clear workflow sequencing, or concrete guidance for creating p5.js generative art. The excessive fragmentation across sub-skills without clear navigation guidance undermines usability.
Suggestions
Add a concrete, executable p5.js code example in the main skill showing a minimal working generative art piece with seeded randomness
Consolidate the 11 sub-skills into 3-4 logically grouped files and provide clear guidance on when/why to reference each
Add explicit workflow steps with validation checkpoints (e.g., '1. Create philosophy.md → 2. Validate concept → 3. Implement sketch.js → 4. Test with different seeds')
Include a quick-start section that allows Claude to create basic generative art without needing to read all 11 sub-skill files
| 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 sub-skill files, leaving the main skill with no actionable content. | 1 / 3 |
Workflow Clarity | While it mentions a two-step process, there's no clear sequence, validation checkpoints, or guidance on how to proceed. The 11 sub-skills are listed without explaining their order, dependencies, or when to use each one. | 1 / 3 |
Progressive Disclosure | The skill attempts progressive disclosure by linking to sub-skills, but the organization is poor. Eleven separate files with unclear relationships and no guidance on navigation order creates confusion rather than clarity. Some sub-skills have cryptic names that don't signal their purpose. | 2 / 3 |
Total | 6 / 12 Passed |
Validation
91%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 | |
- Reviewed
Table of Contents
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