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ASISaga AI Skills

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Browse published AI skills maintained by ASISaga. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

6

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

subdomain-evolution-agent

ASISaga

Create ontological propositions for the Genesis Semantic Design System when gaps are identified. Analyze existing variants, formulate semantic intents, and submit PRs to theme repository. Use when subdomain dev...

GitHub

html-template-agent

ASISaga

Create semantic HTML5 templates with accessibility-first principles for Genesis Ontological Design System. Ensure proper landmark elements, meaningful class names, WCAG compliance, and BEM-style naming. Use whe...

GitHub

theme-genome-agent

ASISaga

Review and manage ontological propositions for the Genesis Semantic Design System. Evaluate PRs for semantic purity, check redundancy, ensure universal applicability, and maintain the living genome architecture...

GitHub

futuristic-effects-agent

ASISaga

Apply advanced glassmorphism, neon glows, quantum gradients, and consciousness animations using Genesis Ontological mixins. Implement futuristic visual effects while maintaining semantic purity. Use when enhanc...

GitHub

responsive-design-agent

ASISaga

Implement mobile-first responsive patterns using Genesis Ontological mixins. Apply WCAG 2.5.5 touch targets, fluid typography, responsive grids, and container queries. Use when implementing responsive layouts,...

GitHub

scss-refactor-agent

ASISaga

Migrate legacy CSS and SCSS to Genesis Ontological mixins. Convert raw CSS properties to semantic ontological patterns, ensure zero-CSS compliance in subdomain files, and maintain the three-tier architecture. U...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.